3900:. This in the long run would make this article factually erroneous. Two, by conflating two different standards that have caused massive practical implications, it obscures the reality of the situation by conflating two distinct national situations. The new bar would be conflating apples and oranges; no province outside Hubei uses clinical diagnosis as a category, so it reports neither the number of all the cases meeting a clinical diagnosis in the country nor all those meeting a confirmed diagnosis, but a mix that has no real justifications other than "that has been the total of all the data released". Three, it confuses the average reader because otherwise the massive 14k-odd jump on 12 Feb would be absolutely unexpected, provoking an immediate question of "why" that it then refuses to answer. For example: To what extent was there an escalation on 12 Feb which may or may not have been curbed in the days that followed? If the new category caused the increase, to what extent was it responsible for it? How meaningful was the new category? Was there really no separate data for the new category at all? If I am reading it around mid-Feb 2020, how scared should I be regarding it being a potential pandemic now? If I am reading it years later, what should/can I say about the overall progression of the outbreak?
1365:
growth is, itself, slowing down. Basically, you have to try to find the S curve that fits best, not the exponential curve that fits best. Which is a bit more math-extensive. Using a pure exponential "fits best" curbe leads to ridiculous things like say in 3 months, more than 12 billion people will have become infected, which is evidently false because that would be more than Earth's entire population. Even for only a couple days in the future, pure exponential curve gives a 100% certainty give results that would be definitely overshooting. We want the best real "cold analysis" result, with sources, not some "scare-mongering" misdirection based on a
Knowledge contributor's edits alone. Unless there is a reasonably quite high % of confidence in a prediction curve's values, and for more than 2 or 3 days in the future, then it is probably a better approach to just not try to make such predictions in the first place. What could be much more useful is the chart showing the tracking of the number of deaths, in addition to the chart of the number of confirmed infected cases. In any case, using red for predicted values, visually shrinks down a lot the confirmed yellow values bars, and seems to downplay a lot the importance of the real data compared to some uncertain potential future.
5635:
5446:
5098:
4062:. Your analysis of the shape of the curve may be indicative of a change in the outbreak. But for the period of time that we had two numbers, we didn't know what the criteria were for testing as opposed to CT. So the changes in the confirmed count could represent testing triage rather than a change in the outbreak. Basically, my point is that for much of this time, experts have been cautioning people from dumping this data in excel and drawing conclusions from it because it is a very turbulent environment. It's fine that we a including the numbers, but we are inviting people to do just that. Including both lab and CT encourages that even more, even though we just found out a good reason not to do it -- becuase testing capacity led to a big backlog. Anyway, it's moot since we're not getting both numbers anymore.
4825:
D/(D+R) debate is ridiculous: just plot them both on the same graph as functions of time and ask yourself *is this understandable* ... it is not ! How does one justify to show / plot a quantity that has varied from 64% down to 9% during the past month and try to push it as an indicator of the severity of this very serious planetary event ? All those content in building anti-WHO/anti-Government conspiracies based on the fact that CFR is misleading should be ashamed. CFR is just CFR and it's a pity if some of you don't understand it. Should it be shown as a single large index supposed to clarify everything ? NO, absolutely not ! Again, these wikipedia pages should focus on clear understandable data (the following table is hilariously full of originality and should be cleaned up once and for all
3822:
situation"). We cannot remove the clinically diagnosed cases and keep the tested confirmed since it would confuse readers who would, likelly, be expecting the larger number, which many, if not most, media outlets report. If we keep the clinically diagnosed and remove the tested confirmed, it would confuse readers in the future who would find the jump strange and awkward and would wonder what was the reason behind it. I think it's best to keep the template as it is, unfortunately. I dislike how China mixed statistics with politics and is now forcing us to do the data separation.
3852:
could have a unique color and no label (only comment in caption). However, even if Ijon's proposition doesn't create confusion for future readers, it will still hurt them by omitting the more important and meaningful statistic, tested confirmed. Remember that China's decision to start reporting clinically diagnosed was mostly political and not because it is a better statistic. By the way, it doesn't make sense for a recovered case to chip away the clinically diagnosed bar. If a person recovered from something that wasn't tested confirmed as COVID-19, then nobody cares.
4662:, I'am confused by your edits, which I inspected all, together with their renderings. You visibly only modified part of the widths affecting the size of the row and table (a misuse of code+template), therefor ended up with broken table, and therefor undid the work of others editors to return to an ancient code and colors we voluntarily moved away from. I encourage you to slow down, get hold on all the variables, and join the boat. If then you have improvement (merge-split the columns with numbers), it's welcome by improving upon current code of the template. cc:
5729:
Does someone disagree? Ideally, there should be multiple toggles with different time periods and an "All" toggle, like you said, but the average user might get confused because multiple toggles can be active at the same time, hiding, in obscure ways, the intersections. I think the only way to fully unleash the toggles would be to create a sub JavaScript to make sure only one toggle is active (or to, somehow, use extensions like Tabber). I still don't know how to do that, so until then (or until someone else does it), I'll try to be minimalist with the toggles.
175:
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4453:) as the first one in the article (though we could also do well to also include the epidemic curve below it). IMO showing cumulatives makes visualizing the epidemic much easier (especially for the general reader) while avoiding the risk of confusion a secondary axis can bring. Whatever chart(s) we end up using should probably also include some note regarding the change of case definition on February 10th/12th.
513:
495:
337:
4829:) with clear graphical representations ... now this is a bit trickier because *everyone* has their fav-plot. What is certain is that semi-log plots are not an option for the general public (don't get me wrong, I love them (semi-)logs ... in a previous life, I spent 5 years of my life sleeping with stretched exponentials). If you give it a think, we can do without semi-log plots for all this data.
319:
1425:
color-match the color of their respective bars, and adopting two colors that are very easy to tell apart and that are easily readable (yellow is not all that much readable as text). For the few people with color blindness, some other trick should also exist. Maybe the bars for deaths are "full solid color" bars, while the bars for confirmed cases is a "hacked diagonal lines" texture.
3313:
I cannot check myself.) If the latter, we are comparing lemons and radishes here, and the change needs to be undone. If it is indeed all of mainland China, the source needs to be added in the article; currently readers are only referred to the website of China's
National Health Commission. Is the "bisque" number 13,332 reported anywhere, or is that based on original research? --
5134:, I am also experiencing the same issues with the table. I've been trying to swap the table back to the old style, but the people involved in creating the custom template are trying their hardest to keep their format on the table instead. We're discussing the situation under the topic "Colors: Death and confirmed colors too similar" and would like your input. Thanks.
4482:
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cases. Since we don't know what the actual infection rate is, it is hard to make a strong statement that the changes in the reported data are an artifact of the real infection rate and not at least partially an artifact of the testing rate. But don't take my word for it, read the reliable sources that covered the change in methods. For example
3121:. I understand that this is not related to what is being said here, but the side note is that if China is actually considering those to be clinically diagnosed as diagnosed, it should be considered diagnosed don't you think. Thus it should also be inputted into the data table as well, otherwise there may be a skew from what the chart
1637:
like that isn’t that good. I can also see that as soon as the numbers of cases hits the 100,000 mark or the percentage increase hits triple digits that column will also start to wrap its text around to a second line. It’s confusing to read. The center column with the actual graph bars can definitely be narrowed down a little.
5728:
Your suggestions are nice and I would implement them if it weren't for limitations with the toggle method I used. I could change to "Last 15 days" right now, but I'm not sure if it will be too tall for the main article (possibly upsetting the editors there, causing the template to be removed, again).
3836:
I think Ijon Tichy had a good solution in his linked edit by only showing the clinically diagnosed edits on the day of the methodology change, then merging them into the main bar. The problem in the long run is that as recoveries (and hopefully not deaths) start to increase we won't know which bar to
3821:
I mostly disagree. True, ideally the chart shouldn't be bothered with/show those clinically diagonosed cases as they aren't as important. However, it was China that forced/created this confusion (it's here that I agree with "I don't find this chart any more complex or confusing than the basics of the
3312:
Where does the number 46,472 come from, defining the orange part of the bar for 2020-02-12 in the chart. The bar chart is for all of mainland China. Do the data provided by the Health
Commission of Hubei Province also cover mainland China, or just Hubei Province? (The website does not load for me, so
2882:
Currently there is a description of why the number has jumped but it's not obviously linked to the last figure and it's likely people will look at the graph and not the caption. Ideally there needs some kind of bar or spacing between the two epochs (I don't know enough to do so unfortunately), if not
5891:
I didn't make a documentation for the toggle features because they are WIP (I need to find a Gadget or code some JavaScript myself to handle toggle groups, which I won't do soon as I'm focused on converting old charts to the new template). However, if you are interested, the process works like this:
5032:
As for the code, the code your propose has setbacks for maintainance : row style and severity colors hardcoded in each single row. The template is expected to be a simple factorization of this, with no differences in the final rendering. If otherwise, then it's simply that the template's code is not
4842:). It is a very intuitive way of showing such data because you can easily see WHEN the number of people that are ill declines (or will decline) - remember, a lot of people have difficulties with cumulative data plots. This type of plot was previously used for the wikipedia page on the MERS outbreak.
4028:
This outbreak is without precedent. Unlike other outbreaks, it is very hard to determine what the data measure. Clearly, for several days, the "lab only" data weren't measuring the outbreak -- they were measuring the maximum rate of testing. So I think we would want to steer people away from reading
1726:
I added a new bar to the template since consensus seemed to indicate that deaths should be shown in the same chart. It seems natural to me to also have a bar showing recoveries but I'm wondering if the chart is getting too cluttered. I'm putting my proposed chart here for the time being and if there
1552:
Here's the daily percentage growth since 16 Jan, it has dropped to about %20 now from %50 in the first two weeks. Could be due to the lockdowns, but I've also read on
Twitter that the number of patients that can be tested for the virus per day is only 2,000. Though I don't know how true that is. 38
1364:
Making a straight projection using latest % of growth will have very high chances or giving misleading results anyway, because over time the % of growth tends to "slow down". So, such a projection would have to take into account, not only the current % of growth, but also the rate at which that % of
667:
What to do you think of including projected cases based on current spread rate? I've did some math and found the following percentage growth for the respective days. With an average of 33.5%. Also have calculated the following graph based on the 33.5% spread per rate and included a estimate forecast
4166:
recently tried to increase the width to fix wrapping, but where was the wrapping issue, in the date? If yes, then it means the {{nowrap}} didn't work, thus, a possible solution could be to put the date in a container with fixed width, like the {{Wikitable}}. If the chart is still too wide at 570px,
4144:
As far as I can tell, this template just keeps getting wider as more cases are added. It's currently taking up something like 90% of the width of the article space on my screen at the moment, which is completely ridiculous. Of course this doesn't affect everyone to the same extent; nevertheless, it
4058:
I think "cannot be true" is a little strong when the authorities themselves changed the method because of a testing backlog. So we know that the testing rate was applying some type of maximum. If the testing rate wasn't applying some kind of limit, there wouldn't have been a backlog of thousands of
3961:
Ignoring clinically diagnosed cases won't solve the problem that deaths+recoveries could in 2-3 months' time become greater than the total number of lab-confirmed cases, even while the number of cases still alive-but-not-recovered is clearly positive (not negative). For epidemiologically reasonable
3399:
seem to use different colors and data - perhaps the colors could be harmonised so deaths is the same color on all for example. SO that "suspected cases" are removed after a time (say a month / evidence that people tested negative AND then not subsequently found as a false positive). ALSO harmonised
1636:
The text size in relation to the column width causes the date to be split into two lines. I’m using the default text size so I don’t think it’s that I’m also not sure if it’s only certain models/screen sizes of the iPhone. I would modify the column widths but My knowledge of formatting elements
4824:
Dear all, there seems to be much confusion on these wikipedia talk pages about coronavirus outbreak data. I see a lot of "original" thoughts and interpretations ... I'm trying to be kind ... alas, most of it should be removed asap. Stick to the data ! For example, the D/C (case fatality ratio) vs.
4379:
1. There are already two graphs of daily counts in the estimates section, any new one would need to merge them, otherwise it will simply duplicate the information. 2. I have no opinion on whether to add recoveries or not, but I can see one that include recoveries for MERS, see below. It's simply
3742:
Rethliopuks wrote: "I don't find this chart any more complex or confusing than the basics of the situation." I do find it more complex and confusing than is absolutely necessary to understand the basics of the situation. Is the objective of the chart to present the data in a manner that is just as
3363:
what is nationally. Alternatively you can just check the NHC report; iirc it should include a figure of 13,332 clinical diagnoses. Subtract that from the total and you get the number. That said, it is a good idea indeed to archive the webpages so that it be accessible for all (hopefully), although
3291:
Noted. The wording wasn't actually mine. The change is actually also due to 1) the virus being difficult to detect (e.g. the nucleic acid testing can identify only 30%-50% of the positive cases; cases may turn positive after testing negative); 2) there being limited capacity of running the nucleic
3957:
If
Chinese official statistics do not separate death and recovery counts into lab-confirmed-and-died, clinically-diagnosed-and-died, lab-confirmed-and-recovered, clinically-diagnosed-and-recovered, then I agree that we have a problem that will get more significant as the numbers of recovered (and
3895:
Without going into the politics, I agree that the problem comes from the mass dumping of a new non-laboratory tested category for 12 Feb. The problem of merging clinical diagnosis (CT imaging only; Hubei only) and confirmed diagnosis (lab test positive) is multi-fold. One, it confuses the medical
3162:
just do not add the apostrophe in the nowiki tags. Thus this can easily be done. In fact, after
February 14th's data is added, even if the clinically confirmed and tested confirmed cases are added together, the % will be looking like a normal value because it will be relying only on the previous
4123:
I think this is actually a good thing. The data and the chart both imbue room much importance to the break down of the two numbers. They lead the observer to treat the rate of growth of lab-confirmed cases as something real about the outbreak. But as we have learned from the sources, the numbers
3851:
In a way, showing a separate bar only for 12 Feb is somewhat clear, but merging the bars while keeping the tested confirmed color is wrong. The new, larger, bars should have a different color and label. Alternatively, the merged bar could use the clinically diagnosed color and the transition bar
3784:
Furthermore, the WHO reports don't go as far back as the
Chinese reports (the first was on 21 Jan). If we mix both sources we'll probably get time of reporting issues, which is quite bad. Ideally, one should be able to gather good data with a common time reference (UTC maybe) by digging into the
1616:
Simple suggestion. Now that we have a lot recoveries in the stats (more than half the total cases) shouldn't we calculate the growth percentage with a ratio : "new cases / ACTIVE cases", instead of : "new cases / all cumul. cases"? This will represent the current progression more accurately. For
605:
First, 97% of cases are
Chinese so far. Second : only the Chinese government publish reliable daily reports so far, upon which we can build such diagram. WHO doesn't, or I'am not aware of it. This makes the gathering of world information per day tricking, because we have no stable source for the
4043:
The argument "for several days they were measuring the maximum rate of testing" cannot be true. During the first 10 days of
February the daily increase in cases followed a smooth curve, no ceiling. Furthermore, the Chinese only started to publish the clinically diagnosed cases after the daily
3926:
And if the patient is cured or, heaven forbids, died, he or she is likely be counted once. The rationale behind the decision by the Health
Commission of Hubei to release a figure on C.D. patients is that it "would help patients receive treatment as soon as possible and improve their chances of
1424:
I second the "two bars in the same chart" approach. However, because the number of deaths is only around 2-3% of the number of confirmed cases, I suggest using two different horizontal scales, one for confirmed cases, the other for deaths. Also, the two number data columns should be colored to
5412:
s of the custom bar stacked template. I could increase the current widths, but I would be doing it blind and I don't want to excessivelly increase it as the chart is already quite wide. What browser is that? How can I reproduce that layout? Alternatively, you may carefully adjust the template
5861:
template, and I was wondering how one can implement a toggle for months and last 15 days like this template currently features? I want to add toggles for the first two months (Jan and Feb), March, and the last 15 days. I couldn't work it out on my own unfortunately, and there's absolutely no
3265:
The wording is wrong, should reword "As of 12 February 2020" - "as of" suggest that that the new methodology is valid up to the date, rather than the new methodology will be applied from that date onward. Also, the change in methodology is due in part to testing kits being in short supply
4275:
2. Deciding on the data points but these are around case rates, can be stratified by diagnosis or symptoms sometimes - epidemic curves don't show recoveries. I would make the date bars much much smaller and put separate bars and colours for diagnostic method personally but there's options
3663:
My main concern with the current colors is that khaki is hard to make out on the white background, which is why I liked the darker #Eb6e00. You're right though that the clinically diagnosed cases should have a color that makes them seem less (and not more) severe than the confirmed ones.
3930:
I recommend that the C.D data not be used at all in the graph: not from now on (since the Health Commission of Hubei has stopped releasing data on C.D. cases anyway), nor include them even for the period from Feb 12 to Feb 15. The graph would be much cleaner and statistically correct.
3866:
Surprisingly, it appears that authorities don't differentiate between deaths from lab-confirmed and clinically diagnosed people as implied by "Deaths in table 1 include both lab-confirmed cases and clinically diagnosed cases of COVID-19" from WHO's situation report 27. Therefore,
3743:
complex and confusing as the basics of the situation, or is it preferable to simplify the presentation of the data as much as possible - without grossly oversimplifying or distorting the information - to help the average reader to understand the basics of the situation? ---
4006:: Hope that WHO convinces Chinese medical authorities to provide cleaner statistics "soon enough" before the inhomogeneous nature of the numbers in the graph becomes too obviously inconsistent (e.g. total deaths+recoveries is greater than the number of lab-confirmed cases).
3518:
it seems like a good idea to settle the color debate. After all, it's a bit confusing for regular visitors to the article to see the chart change style constantly. As far as I know these are all the proposed colors for the various bars (used in different constellations):
3125:
show compared to what it should be. I think the number of clinically diagnosed should also be added to the cumulative number. If not, then there has to be another chart added, otherwise that data is going allover the place and there will be comprehension difficulty.
2784:
The caption now says "As of February 12, 2020, numbers include clinically diagnosed people." How is this different than the previous numbers? Presumably this means they are not comparable? Are comparable numbers available that would make the graph more meaningful? --
4921:
As of 27 February 2020, there is a greater number of increase in cases outside of China then inside of it. In fact South Korea alone has reported more cases on this date (+505) than China +(433). It seems that the spread in China no longer represents the majority.
56:
4098:
always separate it from tested cases because the WHO only counts lab tested ones. At this moment the 17 Feb sitrep (for the global situation up to the end of 16 Feb) hasn't been released yet; when it is released we should hopefully have the separate data then.
3246:
Done. As I suspected it was an issue of the template, which I have now modified. I took out the 12 Feb data here because the NHC actually hasn't reported any yet; if you calculate just the confirmed cases alone you'd get a decrease which surely couldn't be the
1091:
5948:
simply creates two alternating buttons which toggle their appropriate rows. However, it only accepts one month at time so, if you want to combine (Jan and Feb), you will need to manually create the alternating buttons with at least these classes on each:
4759:
On my laptop (that has a really top quality screen) I have no problems with the colors. On my smart phone however the colors are indeed quite similar. But I also have the problem that the numbers in the right hand text column do't display correctly (see
4187:
I'm a little bit concerned of no original research particularly in the use of recoveries as a data point. Whilst the Chinese are using it, it is not standard in outbreak investigation or communication to use as a statistic. Can someone point me to a
4550:
2- A cool solution would be to create clickable tabs for each month, below the title, so that readers can switch to the bars/data of specific months. However this doesn't seem simple. The closest dynamic thing I can think of in Knowledge is the
3442:
The 12 Feb data includes verified subtractions reported in the 13 Feb report. The 13 Feb confirmed case number comes from the Health Commission of Hubei's report for that day, for which a link is provided in the source code of the editing page.
4990:
If possible, I'd like to see screenshots of both of these two different table styles on your devices before we start fighting over which style is better, etc. Then we can reach a consensus of which style to use and how to fix the width issues.
4193:
2961:
So the old numbers were all people who had been tested by kit or professionals, and the new numbers included people who were clinically diagnosed by some means other than a kit? And also some others with as-yet-unspecified characteristics? --
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3030:
means "visited a doctor who did a face-to-face checkup, asked for self-reported symptoms, observed symptoms using standard doctor's office equipment and concluded 'seems to be COVID-19' - this patient is ill". This is contrasted with
5855:
3199:
Do we have a good source for knowing if the pre-12-Feb mainland China data excluded asymptomatic cases? Or were no mainland China asymptomatic people (those who had been in contact with known carriers) tested? Please add sources to
1339:
But we should be able to give a projection with the current numbers for a short term. So we have 10.000 cases yesterday and can project 50.000 cases in one week. If it holds true then we can project another week with 250.000 cases
1084:
3578:
From a tri-coloured perspective, #Eb6e00 is darker than orange and in between it and red, which seems to suggest it's in between the seriousness of the two, but clinical diagnoses are actually in between suspected and confirmed.
4409:
I'm not bothered if recoveries are included or not, the more important question is how would you avoid duplicating the information that are already there in the other graphs in the article? Merge them or present different data
4565:
If nothing is done, we will need to completely scrap the chart and start a new one without the numbers on the right. If we get to this stage it might be better to just do an epi curve like suggested in the previous section.
3572:
My issue with this combination you use is accessibility; the scheme doesn't work in greyscale. Red and dodgerblue look almost identical, and #Eb6e00 is only slightly lighter than the two but darker than the orange in the
2807:
No there are no comparable numbers available. China just changed the definition of a confirmed case to include clinically diagnosed cases in order to give them the same kind of treatment as an originally confirmed case.
1077:
977:
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acid tests in hospitals; 3) many people require medical attention and COVID-19 patients get special treatments including medical fee exemption; 4) political and medical directive of "rather mistaken than missed".
4884:
3426:
The numbers included in the graph and data do not match those provided in the reference, and in some cases (like the confirmed cases on the 13th) aren't even available in the referenced documents. Seems wrong.
2983:
Short answer, yes. Long answer, today's new 14,840 were a mix of people who had newly tested positive (probably ~2,000) and people who have symptoms but have yet to test positive by a kit (the other ~12,000).
41:
3364:
unfortunately on my end, Wayback Machine cannot access the HC Hubei report for 02-12 either. An alternative would be to check (mainland) news sources, which generally report these reports basically verbatim.
2728:
As of time of writing, the source in the template has yet to publish the 02-12 report, but someone already put the supposed numbers in, as well as a percentage increase that contradicts the actual increase.
5711:
Thanks for adding the collapsible feature. However, the "Last 10 days" option is a bit too short of a period to be that useful. Either half a month or 15 days, or "last two weeks" (14 days) would be better.
3102:
I took a quick look, it wasn't obvious to me though what would be a good colour given the legend uses Location dot files, so it needs to be one of those available colours. Perhaps if someone has more time.
3777:
The figures of the WHO reports used to agree with those from the NHC but seem to have diverged now. Then again, I'm not really sure if we even have the right figures since the data here doesn't agree with
4800:
page? Because I think the data isn't super relevant for where it is in the page now. My edits might be reverted but i think its not as important as it was even just 2 days ago. Also would appreciate any
631:
Knowledge has implemented mainland china data AND worldwide confirmed cases, so we can just use the main chart. I don’t think sources is the problem, its finding the history and re-doing the entire chart.
2700:
6417:
6182:
However, it only provides an existing (instead of cumulative) number of asymptomatic patients. I'm not sure if we should include this data in the chart, and if we do, how would we go about adding it. --
1666:
This issue should have been fixed by the recent formatting change, which attempts to force the width of the chart elements. I can't test for all devices though, so notices and suggestions are welcome.
3958:
deaths) increase as a fraction of the total confirmed cases (either definition). Epidemiologists could build models with reasonable hypotheses and do model-based splits, but we don't have that option.
3177:
If some of the stuff that I stated in the two comments above do not make any sense, it is probably because I added those comments when the page looked different than it was when I saw it latter on.
1488:
Expected is the growth goes down because people in infected regions are in quarantine and all confirmed cases are isolated. So if we had 33% growth last week then maybe next week it may only be 20%
3157:
is now being considered as diagnosed by officials, then it should be considered as confirmed. Thus placing N/A is unrealistic. However, to do the 33%* it can easily be done by doing the following
6112:
parameter. Furthermore, giving support to all country templates is extremely time and energy consuming, so I stopped midway to finally do your request. I hope you like it. Is it what you wanted?
1595:
I don't know how to fix this, otherwise I'd have done it directly, but it seems there is one dash character ('-') too many between the parenthesizes after the number 45 in the first data line.
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3461:
Wait, so, the figure of 13,332 for the 12th, and 15,384 for the 13th is subtracted from the national total number of cases?? Only Hubei is counting clinically diagnosed cases in its total??
5148:
It's fixed now. I just had to increase the span widths because the font-size seems larger, by default, on mobile. Sorry for not noticing that back when I calculated the minimum span widths.
5053:
It's fixed now. I just had to increase the span widths because the font-size seems larger, by defualt, on mobile. Sorry for not noticing that back when I calculated the minimum span widths.
4337:
5934:
attribution and its initial state based on the date provided (if you don't put a valid date, i.e. you have a time jump, the current implementation won't work properly) if you activate the
5299:
to your sandbox and increase the width of those inline-blocks (see changes on a preview of the chart template). Tell me if it worked. Maybe the solution would be to use relative widths.
4581:
DONE. However, it would be better to also use JavaScript to solve that "month and last 10 days intersection issue". JS would also allow the chart to show data for different countries.
1485:
Some have used the growth percentage to project the future infected cases. Should we add the growth percentage to the graph? To see if it goes down over time? Or create another graph?
2692:
Anyone else think it should also show the numbers for the total death count and amount of recoveries? Having only bars doesn't really tell a lot. Poklane 00:29, 9 February 2020 (UTC)
3785:
sources of the NHC and WHO to find the time of each case. However, this is extremelly hard to do. It would be more feasible to find historic WHO data before 21 Jan (does it exist?).
3231:. I tried to add this to the graph but somehow the section that I add won't show up in my editing preview. The CD figure for 12 Feb is 13,332. Could anyone add this to the bar graph?
5634:
5445:
5097:
950:, this has value for sure. I think the best is you create a new template, so usage is more modular. Then both template should keep similar styles, so these twins keep aligned. :)
5241:
Yes, the last percentage is too large to fit in the inline-block. It should either be rounded or 2 s.f. should be used on all numbers (all widths would need to be changed then).
3781:(unless it's using a different definition of China?). An issue with the WHO reports is that they don't have any recovery statistics which I think would be a loss not to include.
476:
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Can the numbers be colocated/overlapped with the bars? Can some sort of scaling be used? Can the whole thing be rendered out as an SVG and then just handled as a regular image?
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3. Loss to followup - if you're well, many people won't tell their doctor so they can even be reported as recovery. Admittedly these cases are being followed very closely in
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I do agree though that we could merge the clinically diagnosed cases and tested confirmed cases as long as the change in methodology before and after the 12th is kept clear.
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The February 8th bar appears incorrect - I looked at the code and the numbers for confirmed cases are different in the text and in the formula used to calculate bar length.—
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Rethliopuks wrote: "believe it or not the numbers are essential" - can Rethliopuks, or anyone else, please explain why the numbers are essential for the average WP user?
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The Health Commission of Hubei province actually publishes with a breakdown of how many cases are clinical diagnoses and how many are confirmed diagnoses. Link for 12 Feb:
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I think it can be shown on the same chart, it just needs to be presented properly. For each day we have two bars, one for confirmed cases and the other for death cases.
6228:. Manually expanding the template should only be done as a very last resort. Moreover, if this were to be done, then why not put in the HTML directly? Why stop halfway?
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EDIT: I do wish to note that the browser add-on that makes everything dark in my attached screenshots is Dark Mode Reader for Firefox, with the Contrast setting at +50.
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Sorry for the huge delay in helping you out. It turned out that there were more important issues to fix before the standardization of all charts, like implementing the
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6292:, the code for the bars is getting counted four times. If you want to go back to the old version, you'd either have to remove the template from that article, rewrite
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Template talk:2019–20 Wuhan coronavirus data/International medical cases#Does "confirmed cases" include all lab-confirmed cases, including asymptomatic cases, or not?
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would in reality differ because of non-COVID-19 pneumonia case in the clinically diagnosed cases; the model is too naive. Advantage: less naive than Weak proposal B.
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Ok, thanks for the screens. It's really messed up. You also appear to have a dark theme, which surely doesn't help. Yet we have an issue. We need something sharper.
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Until such a consensus is reached, I suggest that we stick with the style without the custom stacked bar for the sake of the readability of this table for others.
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if you include recoveries, it’s not an epi curve. Also deaths. Data is around date of diagnosis and symptoms which can be stratified as as seen in the medrs__
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Or the other way round with current infection growth of 25% and 10000 cases we have 2 month left until all mankind is infected. 10000 * 1,25^60 = 6 Billion
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It would be interesting to switch to global cases, but we need to find a way to make the template less tall. Why doens't wikipedia have a Tab extension?!
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I created another chart which includes Recoveries. This is quite similar to current chart. I think it is quite difficult to merge two charts into one. ――
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then the only way I see to decrease it would be to decrease the space for the bars or decrease the font size of the numbers (better). What do you think?
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I think proposal A and B are heroic, but are akin to original research; so I'd go with C (and now that we're only get one number then that's all we got).
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4697:. Please refer to my imgur links attached in my other topic "Custom stacked bar issues" in this talk page. I am not alone in experiencing these issues;
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might only be showing us the testing capacity, not the rate of infection. And it is even more complicated than that, given the changing lockdown rules.
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This barchart has a lot of data embedded in it and I am wondering if there is a spreadsheet/CSV available (anywhere?) that contains the data. Thanks!
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Yes. This is because the category of "clinical diagnosis" is only used in Hubei. The national diagnostic standard doesn't use the category elsewhere.
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increase of confirmed cases started slowing down. So there's no excuse for anyone to switch to the C.D. number just because of that quoted argument.
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would be a published median (e.g. from WHO? from Chinese medical sources?) of the delay between lab (or clinical?) confirmation to recovery or death.
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https://en.wikipedia.org/search/?title=Timeline_of_the_2019%E2%80%9320_Wuhan_coronavirus_outbreak_in_February_2020&diff=prev&oldid=940551077
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Not to mention that a patient can be first diagnosed clinically and then be confirmed later via the nucleic acid test. So the same patient can be
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per HTML element, but you can have multiple classes for one toggle/button. Therefore, if a row should be affected by two different toggles, its
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Why there is a change in color from Feb 18th (light yellow) to Feb 19th (dark yellow)? Even the statistics suggests that the numbers are same.
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a separate graph. At least some kind of footnote marker on the number to indicate to the reader that there is more to the 12 Feb statistic.
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Hello. I don't wish to cause an edit war, but I did have to swap the table back to the old style (without the custom stacked bar issues).
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limit. Also, I know you're being sarcastic, but replacing wiki table formatting with HTML doesn't reduce the Post-expand include size. --
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It appears that Hubei and NHC have both not released the number of clinical diagnoses. Yet that doesn't mean we won't have the data: the
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data, Hubei doctors would have to systematically lab-confirm C.D. patients who either die or recover. That's out of Wikipedians' control.
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I tested on my shitty smartphone and the table worked fine, except the last row. Maybe this issue only happens to you. Try copying the
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This template is getting too tall and we must find a solution soon! If we want to keep the personality of this chart we have 2 options:
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From the perspective of an average WP user, this chart is overly complex and confusing, containing statistics that are not essential.
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as a temporary or permanent WikiProject and invite editors to use this space for discussing ways to improve coverage of the ongoing
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which means something like "had a blood sample taken that confirmed 'SARS-CoV-2' is present in the blood, independent of symptoms".
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I edited the "explanation" since it makes much more sense if the testing is for the virus SARS-CoV-2, not for the disease COVID-19.
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2. When there is reporting into a surveillance system (which is what is happening) the data point of "positive test" or "death" is
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I was wondering whether changing the orange bar to a dark orange would make sense, especially given the % removal has been undone.
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and then push the best version to the actual template page. The second problem has its own section below, so I moved the picture.
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3. It is inevitable that it will need to be made horizontal, otherwise it will become impossibly bulky if this goes on for months.
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more likely to be close to correct, due to clinician's sense of "urgency" of reporting these, as opposed to reporting recoveries.
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Problems in this proposal: the algorithm is not so simple; it depends on a value whose estimate will vary with time and sources;
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Thanks, but the problem in the first has already been localized. The issue is that I don't know how to reproduce your viewport
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I must mention that people were added to the total number today who had tested positive in a kit. Today's additions were not
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and shows the data in an easily understandable way. Sorry I did try give this a shot to visualise - no hope in wikicode --
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days, attribute recoveries and deaths according to the proportions of lab-confirmed and clinically confirmed cases from
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start "chipping away" from. I don't believe we have any way of knowing whether a recovered case is clinical or tested.
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without breaking the page. The Post-expand include size counts nested templates separately, so if this template calls
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Yeah that's much better now, thanks. I had thought it would be some kind of markup rather than just a star character.
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laboratory confirmed cases, independent of symptoms and independent of whether the person recovers or dies later on.
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4838:- make a useful-for-all graph out of the data like a stacked plot of Deaths / ill (=#Cases minus D+R) / Recovered (
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Due to the rapid increase in the number of cases in other places, I support the inclusion of global cases as well.
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There seems to be a miscalculation in the initial chart. The daily growth percentages are wrong, instead they are:
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related articles on Knowledge. If you would like to participate, please visit the project page, where you can join
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for any country. Or you can make an overall epidemic curve, I think this is better, have said a few times why. --
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https://en.wikipedia.org/search/?title=Template:2019%E2%80%9320_Wuhan_coronavirus_data/Map_(dots)&action=edit
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Starting March 31, 2020, the NHC started reporting data about asymptomatic patients. For example, on March 31,
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https://en.wikipedia.org/2019%E2%80%9320_Wuhan_coronavirus_outbreak#/media/File:2019-nCoV_Outbreak_World_Map.svg
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This is a screenshot of the table with the custom stacked bar, where the number of cases are quite distorted:
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The Chinese themselves have a great discussion on the use of statistics here (sorry about the google translate
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I tested the chart with the same skin you were using and I had no problem. Do you have a custom css running?
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recovery", since the nucleic acid tests would "take days to process". It has nothing to do with statistics.
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https://en.wikipedia.org/Timeline_of_the_2019%E2%80%9320_Wuhan_coronavirus_outbreak_in_February_2020#Disputed
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and therefore not suitable for Knowledge - we can't make our own projections, only report those published in
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Switched the inline-blocks to relative widths. Is it better now? If not, where is the wrapping happening?
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Advantage: simple to apply and explain; disadvantage: even more naive and inaccurate than Weak proposal A.
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1- A temporary patch might be to decrease the font size, but this isn't neat and decreases accessibility.
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I prefer the current colour scheme; the noticeable red for deaths, and the soothing blue for recoveries.—
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states that: "31个省(自治区、直辖市)和新疆生产建设兵团报告新增无症状感染者130例,当日转为确诊病例2例,当日解除隔离302例。尚在医学观察无症状感染者1367例,比前一日减少174例。"
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smaller, so let's go with it. (The current chart's increasing width dimension is becoming a problem.) --
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Thats it then you have a proper epi curve as has been replicated in the WHO situation reports, follows
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Yes, I like that. And it will illustrate when more people recover than get infected additionally soon.
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Symptoms takes 4~10 days, so there is delay between general alert (23th) and effects (29th and later).
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I've added the override parameters. When I finish converting the other charts, I can help you out.
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3 - Buttons are actually 2 alternating buttons which show the border only if the toggle is active;
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A confirmed case before today was people who had tested positive by a kit or a professional test.
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on Knowledge. If you would like to participate, please visit the project page, where you can join
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on Knowledge. If you would like to participate, please visit the project page, where you can join
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I do not think that is representing the information correctly. The point here being is that if
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Confirmed cases (orange), deaths (red) and recoveries (blue) in mainland China according to the
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entirely in Lua so it doesn't use nested templates, or petition the developers to increase the
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Issue still persists on my end. Is this intentional because there's no solution at the moment?
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Confirmed cases (red), deaths (black) and recoveries (blue) in mainland China according to the
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The NHC changed lists, the old list will not get the new updates anymore. Here's the new list:
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to fix it myself, so you might need to carefully adjust the custom bar stacked in your sandbox
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3997:: choose a fixed proportion to attribute recoveries and deaths to the two types of detections.
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And now, after the data for 03-03-2020 were added, the last two bars have the following text:
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There could also be an "All" option to sit alongside the months and "Last xx days" options.
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FIXED. Unless consensus is reached otherwise, the percentage width will only fit 2 numbers.
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1. Who defines recovery? if it becomes a pandemic, this will not be standardised worldwide.
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Testing around a bit, an alternative color scheme with better lightness/luminosity might be:
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Please consider selecting your colors from professional, color-theory based color ramps by
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Should the Coronavirus 2019 outbreak graph be an epidemic curve or remain the current graph
1455:(I have already updated this on the reference, just for people looking for the new cases)
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Please take a look at the mobile view. The numbers in the right column show up like this:
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It looks like the data is out and that WHO is not giving the breakdown anymore. This one
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Personally I prefer the red/dodgerblue/orange/#Eb6e00 combination which looks like this:
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This visual is indeed a simplification with graphic constrains and selected informations.
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Yeah, anything to make this easier; this is all going over my dumb lil' head... Haha! –
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The English version is better since it can grow downward without disrupting formatting.
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Is there anyone here who could help me make this template work? Thank you in advance! —
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4980:. "Show preview", unfortunately, doesn't exhibit those behaviors of distorted numbers.
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https://en.wikipedia.org/Template:2019–20_coronavirus_outbreak_data/China_medical_cases
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Template:2019–20_coronavirus_outbreak_data/China_medical_cases_chart/Custom_bar_stacked
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basics and risks including people with similar CT results but who would turn out to be
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5953:. The 'Last 15 days' button follows the same principle, it only affects the bars with
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This is a screenshot of the table in the original style [w/o the custom stacked bar}:
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yourself. If you prefer the latter, I can help you (give instructions), if you want.
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has mentioned, there's the color issues and the number/percentage change issues that
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Should use different colors for death and confirmed, the red colors are too similar.
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There have been a lot of color schemes used in this article and due to the risk of
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Template talk:2019–20 coronavirus pandemic data/Mainland China medical cases chart
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Should we use the current graph or make visual changes to become a more standard
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Respectively with an average of 49.3%. Hence the future chart should look like:
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Updated data: Shouldnt this data be updated? It is over a month out of date.
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appended to their ids. All these buttons lie on a bar which is just a centered
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Should the graph be changed to include global cases instead of Mainland China?
4555:(does anyone know of a more similar feature?). Therefore, we would need to use
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4887:, but I don't know if the numbers are consistent with those of this template.
3871:'s final worry is justified. What a shame, China managed to break statistics.
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Second, this is not aimed i becoming a full table, which we already have, see
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Is it strictly necessary to "destroy" this template's structure by not using
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http://www.nhc.gov.cn/yjb/s7860/202004/28668f987f3a4e58b1a2a75db60d8cf2.shtml
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Does anyone know how to detect a mobile view (to hide the static month bar)?
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Knowledge has colorblind simulator recommendations already (incl. greyscale)
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I found a colorblindness simulator! Although it doesn't simulate greyscale.
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Yes, let add daily growth rated on the right side, as % and in parentheses.
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I suggest showing bars representing death cases too reported for each day.--
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below), which is also visible on my laptop when I change to mobile view. --
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If you want, I can add a parameter to allow for the manual attribution of
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I addition to my "get rid of all this originality", I have 2 suggestions:
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Only Hubei uses the category of clinical diagnosis, so what Hubei reports
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4694:
4678:
4643:
4627:
4411:
3686:
3678:
This new color looks like piss on my screen..... There are professional,
3270:
2751:
Yeah, I can't do math. The number of cases and deaths are confirmed (see
2707:
2630:
1690:
1573:
1537:
1521:
1004:
951:
642:
626:
607:
277:
5961:, but you still have the freedom to make whatever bar HTML. Summarizing:
5943:
2019–20 coronavirus pandemic data/China medical cases chart/Month button
5166:. I have 2 browsers on my smart phone, both have the same bad result. --
4009:
Feel free to rework any of these weak proposals into something better...
522:
6009:
5 - Implementation details should first be checked on the templates.
1632:
View issues when viewed on iPhone both in app and mobile web version.
5592:
Those numbers look nice and round. Feel free to push both changes.
4745:
has mentioned. I still feel that the older format was more ideal.
3968:: We could make a naive model (for Hubei): once we get to 12 Feb +
410:
386:
5695:
5633:
5444:
5402:
That's an unusual Knowledge layout... The problem is with the 2+2
5096:
4542:
Does anyone know how to dynamically show/hide bars for each month?
4480:
4442:
4381:
4326:
4318:
4270:
1. Using the daily new case rate rather than the cumulative rate.
3596:
541:
193:
6150:. Please bring your ideas to the project/talk page. Stay safe, --
6038:
and initial state so that you can toggle/hide time jumps aswell.
5812:
2019–20 coronavirus outbreak data/Philippines medical cases chart
2648:
We should use an accessible color scheme for the bar colors, see
578:
280:-related articles. If you would like to help, you are invited to
3229:
http://wjw.hubei.gov.cn/fbjd/dtyw/202002/t20200213_2025581.shtml
438:. Please visit the project page for details or ask questions at
5951:
mw-customtoggle-jan mw-customtoggle-feb mw-customtoggle-feb-l15
5892:
each collapsible element (row) is connected to a toggle via an
5856:
2019–20 coronavirus pandemic data/Australia medical cases chart
4626:. It's based on academic research to ease readability for all.
3684:
http://colorbrewer2.org/#type=diverging&scheme=BrBG&n=4
5993:
2 - Each button is connected to those ids through its classes;
5384:
4984:
4977:
4450:
I think we should use the chart above ("the cumulative chart"
988:
2019-20 Wuhan coronavirus data/China medical cases (estimates)
978:
2019-20 Wuhan coronavirus data/China medical cases (confirmed)
109:
32:
5786:
We don't. I just wanted to promote my effort. Quite silly...
3223:
Clinical diagnosis data and representation re: 12 Feb onwards
718:
Confirmed cases in Mainland China in orange according to the
6005:
is just an HTML that arranges the buttons in an ordered way;
2832:
What was the criteria to be included before this change? --
465:
2701:
Template:2019–20 Wuhan coronavirus data/China medical cases
1569:
Template:2019-20_Wuhan_coronavirus_data/China_medical_cases
579:
Shouldn't the graph include all cases, China and otherwise?
5912:. The toggle for February would thus need a simple class,
5552:
OK, I will try to use sandboxes and experiment. I have no
4796:
Can you make much smaller and concise version now for the
4336:
I created a combination chart. Currently it is used for a
4200:
compliant. Problems with the recovery data point include
668:
for the next week. Do you think this should be included?
42:
COVID-19 pandemic data/Mainland China medical cases chart
4835:- stop using "," as a separator in the numerical data.
5969:
automatically appended with its month and, optionally,
5657:
5575:
5571:
4552:
4510:
I very much like the switching of the axis. Ie this one
3730:
3386:
3329:
The sources in the sub-sub-section on the page maybe?
3118:
6418:
Template-Class China-related articles of NA-importance
4304:
would be more informative than the cumulative total.--
3078:
I wouldn't be opposed to changing it to dark orange.
682:
Daily growth respectively between 16 and 29 January:
5760:
Yes it is a duplicate of this. Why do we need both?
5162:
It is OK now on my laptop, switched to mobile view.
540:, a collaborative effort to improve the coverage of
348:, a collaborative effort to improve the coverage of
192:, a collaborative effort to improve the coverage of
3531:Clinically confirmed: #Eb6e00 , khaki , limegreen
4214:outbreak, but its a unique outbreak with a lot of
1065:Confirmed cases in Mainland China according to the
6333:Template_talk:Medical_cases_chart#Lua_replacement
5908:should be a combination of the two, for example:
4723:, I still think that the colors are too similar.
4183:Constructive criticism of the recovery data point
4117:has one column where the one from the day before
276:, a project to coordinate efforts to improve all
6197:Substitution of the Medical cases chart template
4489:Maybe this is the graph you are looking for ...
3758:I agree, and I also think the WHO daily reports
1553:95 64 47 51 30 45 55 53 38 64 32 29 25 21 22 20
1520:Growth rate (%) is declining but still massive.
696:28% 49% 39% 32% 34% 23% 32% 36% 35% 29% 40% 25%
4761:
2898:I added an asterisk and changed 33% to N/A. --
1453:http://www.nhc.gov.cn/yjb/pzhgli/new_list.shtml
6266:2019–20 coronavirus pandemic in mainland China
4840:https://en.wikipedia.org/File:Covid-test01.png
4597:Colors: Death and confirmed colors too similar
2696:First, we have no elegant solution to do this.
1727:are no objections I'll move it to main space.
5746:already removed it, so I changed to 15 days.
1085:
729:the average spread rate as of 29 January 2020
8:
6443:Template-Class Disaster management articles
6171:How to deal with asymptomatic patients data
5862:documentation on this feature, it seems. –
6448:NA-importance Disaster management articles
6378:
5164:However, nothing changed on my smart phone
3462:
3401:
2207:
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1403:
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1078:
489:
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5900:, respectively. You should only have one
5578:did result into a correct mobile view. --
1387:Death cases count should be another chart
583:I feel that would be more informative. --
362:Knowledge:WikiProject Disaster management
126:does not require a rating on Knowledge's
5180:After a closer look, I noticed a change:
2688:Actual numbers for deaths and recoveries
1617:2020-02-29, 0.7% will become about 1.4%.
365:Template:WikiProject Disaster management
5387:. (Turned off dark mode this time. :D)
4701:also had issues once before and so has
4356:That is both more visually informative
4331:2003 Probable cases of SARS - Worldwide
1037:38 95 64 47 51 30 45 55 53 38 64 32 29
491:
383:
315:
227:
143:
6250:The version of the template that uses
5674:Awesome. It is easier than I thought.
6408:Template-Class China-related articles
4362:2601:444:380:8C00:9479:58CA:A8F9:DE28
4029:too much into the "lab only" number.
3725:Chart is overly complex and confusing
3555:consistency with other disease charts
534:This template is within the scope of
432:This template is within the scope of
342:This template is within the scope of
270:This template is within the scope of
186:This template is within the scope of
115:
113:
7:
6413:NA-importance China-related articles
5847:How to use the "togglesbar" feature?
4883:The closest thing I can think of is
3682:-based color palettes available via
18:Template talk:COVID-19 pandemic data
6463:Template-Class pulmonology articles
4251:best current data source (Figure 4)
441:Knowledge talk:WikiProject Medicine
132:It is of interest to the following
40:for discussing improvements to the
6468:NA-importance pulmonology articles
5700:2020 coronavirus patients in China
5570:The combination of these changes:
4792:Hello, thanks for your work... but
4323:2020 coronavirus outbreak in China
3024:Medical diagnosis#Related concepts
31:
6453:Template-Class medicine articles
6428:Template-Class COVID-19 articles
5449:This skin has no problems for me
4340:article. See also SARS chart.――
4268:The steps to doing so would be
3528:Tested confirmed: orange , red
1447:Just wanted to inform you guys..
727:Projected cases in red based on
521:
511:
493:
419:
409:
385:
335:
317:
257:
247:
229:
173:
163:
145:
114:
57:Click here to start a new topic.
6473:Pulmonology task force articles
6458:NA-importance medicine articles
6433:NA-importance COVID-19 articles
3597:https://gka.github.io/palettes/
3525:Recoveries: blue , dodgerblue
3522:Deaths: black , crimson , red
345:WikiProject Disaster management
6478:All WikiProject Medicine pages
3334:Aceing_Winter_Snows_Harsh_Cold
3179:Aceing_Winter_Snows_Harsh_Cold
3165:Aceing_Winter_Snows_Harsh_Cold
3128:Aceing_Winter_Snows_Harsh_Cold
1682:Other wikipedia's way to do it
474:This template is supported by
450:Knowledge:WikiProject Medicine
294:Knowledge:WikiProject COVID-19
1:
6483:Template-Class virus articles
6438:WikiProject COVID-19 articles
5930:internally takes care of the
4947:17:32, 27 February 2020 (UTC)
4932:10:56, 27 February 2020 (UTC)
4917:10:56, 27 February 2020 (UTC)
4878:23:13, 25 February 2020 (UTC)
4855:13:41, 25 February 2020 (UTC)
4815:13:12, 25 February 2020 (UTC)
4654:14:32, 25 February 2020 (UTC)
4638:12:32, 25 February 2020 (UTC)
4617:15:32, 24 February 2020 (UTC)
4576:20:31, 21 February 2020 (UTC)
4534:19:28, 26 February 2020 (UTC)
4499:14:36, 25 February 2020 (UTC)
4477:03:54, 23 February 2020 (UTC)
4463:22:03, 22 February 2020 (UTC)
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4420:19:17, 21 February 2020 (UTC)
4401:15:46, 21 February 2020 (UTC)
4370:20:10, 20 February 2020 (UTC)
4350:12:55, 20 February 2020 (UTC)
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4295:06:53, 20 February 2020 (UTC)
4263:06:41, 20 February 2020 (UTC)
4232:16:59, 18 February 2020 (UTC)
4177:14:47, 17 February 2020 (UTC)
4158:13:28, 17 February 2020 (UTC)
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4072:03:21, 20 February 2020 (UTC)
4054:00:49, 19 February 2020 (UTC)
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4021:22:20, 17 February 2020 (UTC)
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3910:03:25, 17 February 2020 (UTC)
3881:14:27, 17 February 2020 (UTC)
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3832:17:24, 16 February 2020 (UTC)
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3773:06:38, 16 February 2020 (UTC)
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3720:07:05, 23 February 2020 (UTC)
3697:00:12, 22 February 2020 (UTC)
3674:10:19, 15 February 2020 (UTC)
3629:04:57, 15 February 2020 (UTC)
3609:04:39, 15 February 2020 (UTC)
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3567:17:32, 14 February 2020 (UTC)
3502:14:09, 14 February 2020 (UTC)
3481:05:45, 14 February 2020 (UTC)
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3302:15:12, 13 February 2020 (UTC)
3279:11:05, 13 February 2020 (UTC)
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3187:05:57, 13 February 2020 (UTC)
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3004:02:16, 13 February 2020 (UTC)
2972:02:10, 13 February 2020 (UTC)
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2922:02:09, 13 February 2020 (UTC)
2908:02:01, 13 February 2020 (UTC)
2893:01:53, 13 February 2020 (UTC)
2873:02:02, 13 February 2020 (UTC)
2842:01:58, 13 February 2020 (UTC)
2828:01:47, 13 February 2020 (UTC)
2795:01:04, 13 February 2020 (UTC)
2779:00:25, 13 February 2020 (UTC)
2739:00:17, 13 February 2020 (UTC)
2718:08:27, 10 February 2020 (UTC)
2664:05:51, 14 February 2020 (UTC)
2641:00:11, 12 February 2020 (UTC)
1688:fr:Template:2019-nCoV diagram
1676:13:22, 15 February 2020 (UTC)
554:Knowledge:WikiProject Viruses
548:and see a list of open tasks.
453:Template:WikiProject Medicine
356:and see a list of open tasks.
297:Template:WikiProject COVID-19
200:and see a list of open tasks.
54:Put new text under old text.
6493:WikiProject Viruses articles
6488:NA-importance virus articles
6264:that is too large to fit on
6148:2019–20 coronavirus pandemic
5973:(if it's a recent date), if
5910:mw-customcollapsible-feb-l15
5516:I added two screen shots. --
5101:Mobile view and desktop view
4798:2019-20 coronavirus outbreak
4501:(same as for the MERS data)
4380:one that's made horizontal.
3382:consistency accross graphics
2683:00:21, 9 February 2020 (UTC)
2629:Same. Red is too agressive.
2625:01:10, 9 February 2020 (UTC)
2204:23:27, 8 February 2020 (UTC)
1779:10:16, 8 February 2020 (UTC)
1765:23:10, 7 February 2020 (UTC)
1751:19:47, 7 February 2020 (UTC)
1737:16:29, 7 February 2020 (UTC)
1716:12:24, 8 February 2020 (UTC)
1701:23:05, 4 February 2020 (UTC)
1681:
1661:18:13, 5 February 2020 (UTC)
1647:18:58, 3 February 2020 (UTC)
1611:18:22, 5 February 2020 (UTC)
1584:12:20, 3 February 2020 (UTC)
1563:07:21, 3 February 2020 (UTC)
1548:03:50, 3 February 2020 (UTC)
1532:00:01, 3 February 2020 (UTC)
1504:10:49, 1 February 2020 (UTC)
1475:19:19, 31 January 2020 (UTC)
1441:18:15, 5 February 2020 (UTC)
1418:06:15, 3 February 2020 (UTC)
1397:20:46, 30 January 2020 (UTC)
1383:13:40, 30 January 2020 (UTC)
1356:19:44, 31 January 2020 (UTC)
1334:17:57, 30 January 2020 (UTC)
1050:11:16, 30 January 2020 (UTC)
1035:11:16, 30 January 2020 (UTC)
1015:21:51, 29 January 2020 (UTC)
962:16:26, 29 January 2020 (UTC)
709:10:54, 29 January 2020 (UTC)
692:10:54, 29 January 2020 (UTC)
678:10:54, 29 January 2020 (UTC)
618:15:59, 29 January 2020 (UTC)
593:00:47, 29 January 2020 (UTC)
557:Template:WikiProject Viruses
368:Disaster management articles
5692:The new collapsible feature
5385:https://imgur.com/a/K5mqCjR
4985:https://imgur.com/a/DLEwmpN
4978:https://imgur.com/a/Ieel2ny
4218:surveillance as opposed to
3976:days earlier. The value of
1722:Another bar for recoveries?
206:Knowledge:WikiProject China
62:New to Knowledge? Welcome!
6509:
6423:WikiProject China articles
6393:00:44, 16 March 2021 (UTC)
6363:15:49, 12 April 2020 (UTC)
6349:01:28, 12 April 2020 (UTC)
6320:02:12, 10 April 2020 (UTC)
6290:Module:Medical cases chart
6166:18:06, 15 March 2020 (UTC)
6122:01:36, 28 March 2020 (UTC)
6097:23:32, 14 March 2020 (UTC)
6083:23:04, 13 March 2020 (UTC)
6048:18:10, 13 March 2020 (UTC)
6019:23:19, 12 March 2020 (UTC)
5886:19:14, 12 March 2020 (UTC)
5842:11:24, 11 March 2020 (UTC)
5093:Problem in the mobile view
5028:My screenshot (2020-03-01)
4963:23:03, 18 March 2020 (UTC)
4600:
4559:and more to customize our
3898:not infected with COVID-19
3761:might be a better source.
2227:National Health Commission
2194:Suggested color change? --
1802:National Health Commission
1068:National Health Commission
993:, we then integrate it to
721:National Health Commission
477:the Pulmonology task force
209:Template:WikiProject China
6238:21:31, 9 April 2020 (UTC)
6192:04:59, 1 April 2020 (UTC)
5796:22:02, 4 March 2020 (UTC)
5782:19:00, 4 March 2020 (UTC)
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5670:11:02, 6 March 2020 (UTC)
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5372:02:32, 5 March 2020 (UTC)
5351:01:05, 5 March 2020 (UTC)
5330:21:53, 4 March 2020 (UTC)
5309:07:57, 4 March 2020 (UTC)
5265:21:53, 4 March 2020 (UTC)
5251:07:57, 4 March 2020 (UTC)
5237:04:55, 4 March 2020 (UTC)
5208:01:16, 4 March 2020 (UTC)
5176:01:00, 4 March 2020 (UTC)
5158:20:14, 3 March 2020 (UTC)
5144:02:59, 3 March 2020 (UTC)
5125:02:03, 2 March 2020 (UTC)
5085:23:32, 3 March 2020 (UTC)
5063:20:29, 3 March 2020 (UTC)
5047:08:21, 3 March 2020 (UTC)
5012:00:43, 1 March 2020 (UTC)
4969:Custom stacked bar issues
4897:20:25, 3 March 2020 (UTC)
4774:07:04, 3 March 2020 (UTC)
4755:02:55, 3 March 2020 (UTC)
4733:01:18, 3 March 2020 (UTC)
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4689:14:02, 1 March 2020 (UTC)
4591:07:43, 4 March 2020 (UTC)
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92:Be welcoming to newcomers
6304:Post-expand include size
6262:Post-expand include size
5916:, and a combined class,
5660:and it seems to work. --
5111:But it should look like:
4300:I agree that a standard
4278:3. Making it horizontal
4140:Excessive template width
3553:Due to its contrast and
5925:Medical cases chart/Row
5918:mw-customtoggle-feb-l15
5851:I recently started the
4924:Nabu-Kudurri-Usur Yaniv
4909:Nabu-Kudurri-Usur Yaniv
4249:? As we can see in the
3117:Please check this here
1755:+1 useful data to have
5701:
5639:
5450:
5102:
4486:
4485:A-Better-kind-of-graph
4447:
4386:
4332:
4324:
3510:Consensus about colors
3033:"laboratory diagnosis"
3028:"clinically diagnosed"
2937:clinically diagnosed.
2190:Suggested color change
1481:Add growth percentage?
1369:Presenting death cases
1319:Unfortunately this is
470:
284:and to participate in
212:China-related articles
87:avoid personal attacks
5965:1 - Each row gets an
5699:
5637:
5448:
5100:
4484:
4446:
4385:
4330:
4322:
4096:WHO situation reports
469:
6143:WikiProject COVID-19
6136:WikiProject COVID-19
4847:TheRightKindOfDoctor
4820:Of Charts and Ratios
4491:TheRightKindOfDoctor
3400:with this graphic.
3159:33%<'nowiki': -->
3155:clinically diagnosed
969:RandomAccount1235423
701:RandomAccount1235423
684:RandomAccount1235423
670:RandomAccount1235423
435:WikiProject Medicine
273:WikiProject COVID-19
6297:Medical cases chart
6273:Medical cases chart
6255:Medical cases chart
6223:Medical cases chart
6213:Medical cases chart
5914:mw-customtoggle-feb
5362:Show me a picture.
4467:I prefer this one.
4196:, which I guess is
4192:source doing this?
3160:*</'nowiki': -->
973:If so, please copy
537:WikiProject Viruses
359:Disaster management
350:Disaster management
325:Disaster management
286:project discussions
5702:
5640:
5554:custom css running
5451:
5294:custom bar stacked
5103:
5033:upgraded properly.
4739:IjonTichyIjonTichy
4719:Yes, I agree with
4699:IjonTichyIjonTichy
4487:
4448:
4387:
4333:
4325:
3422:Source for figures
3195:Pre 12 Feb CN data
1555:CoronaVirusUpdates
1331:
1042:CoronaVirusUpdates
1027:CoronaVirusUpdates
471:
128:content assessment
98:dispute resolution
59:
6395:
6383:comment added by
6104:PhilipTerryGraham
6062:PhilipTerryGraham
6030:PhilipTerryGraham
5865:PhilipTerryGraham
5837:
5833:
5829:
5044:
4686:
4651:
4635:
4553:collapse template
3694:
3483:
3467:comment added by
3418:
3406:comment added by
2715:
2638:
2612:
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2187:
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2180:
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1698:
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1601:comment added by
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1494:comment added by
1477:
1461:comment added by
1443:
1431:comment added by
1420:
1408:comment added by
1358:
1346:comment added by
1329:
1321:original research
1311:
1310:
1012:
959:
941:
940:
615:
576:
575:
572:
571:
568:
567:
488:
487:
484:
483:
456:medicine articles
380:
379:
376:
375:
312:
311:
308:
307:
300:COVID-19 articles
224:
223:
220:
219:
189:WikiProject China
108:
107:
78:Assume good faith
55:
22:(Redirected from
6500:
6345:
6330:
6316:
6301:
6295:
6287:
6281:
6277:
6271:
6259:
6253:
6249:
6227:
6221:
6217:
6211:
6207:
6161:
6154:
6153:Another Believer
6111:
6107:
6063:
6058:
6037:
6033:
6004:
5988:
5984:
5980:
5976:
5972:
5968:
5960:
5956:
5952:
5947:
5941:
5937:
5933:
5929:
5923:
5919:
5915:
5911:
5907:
5903:
5899:
5895:
5866:
5860:
5854:
5840:
5835:
5831:
5827:
5816:
5810:
5766:
5710:
5411:
5405:
5382:
5361:
5340:
5319:
5298:
5292:
5043:
5040:
5023:
4997:Good day/night.
4903:RfC Global Cases
4685:
4682:
4677:
4650:
4647:
4634:
4631:
4557:parser functions
4518:
4508:User:Phoenix7777
4222:surveillance. --
4145:is out of hand.
3771:
3770:
3717:
3707:Change in color?
3693:
3690:
3358:
3328:
3161:
3152:
3095:
3086:
3077:
3001:
2992:
2982:
2954:
2945:
2932:
2870:
2861:
2852:
2825:
2816:
2806:
2776:
2767:
2750:
2714:
2711:
2662:
2661:
2637:
2634:
2222:
2221:
2212:Extended content
2208:
1797:
1796:
1787:Extended content
1783:
1697:
1694:
1580:
1577:
1544:
1541:
1528:
1525:
1516:
1325:reliable sources
1094:
1087:
1080:
1062:
1061:
1011:
1008:
1002:
996:
992:
986:
982:
976:
972:
958:
955:
715:
714:
666:
630:
614:
611:
604:
562:
561:
558:
555:
552:
531:
526:
525:
515:
508:
507:
497:
490:
458:
457:
454:
451:
448:
429:
424:
423:
422:
413:
406:
405:
400:
389:
382:
370:
369:
366:
363:
360:
339:
332:
331:
321:
314:
302:
301:
298:
295:
292:
267:
262:
261:
251:
244:
243:
233:
226:
214:
213:
210:
207:
204:
183:
178:
177:
176:
167:
160:
159:
149:
142:
119:
118:
117:
110:
33:
27:
6508:
6507:
6503:
6502:
6501:
6499:
6498:
6497:
6398:
6397:
6375:
6341:
6324:
6312:
6299:
6293:
6285:
6279:
6275:
6269:
6257:
6251:
6243:
6225:
6219:
6215:
6209:
6201:
6199:
6173:
6164:
6159:
6152:
6138:
6109:
6101:
6061:
6052:
6035:
6027:
6002:
5986:
5982:
5978:
5974:
5970:
5966:
5958:
5954:
5950:
5945:
5939:
5938:parameter. The
5935:
5931:
5927:
5921:
5917:
5913:
5909:
5905:
5901:
5897:
5893:
5864:
5858:
5852:
5849:
5821:
5818:
5814:
5808:
5762:
5704:
5694:
5632:
5409:
5403:
5376:
5355:
5334:
5313:
5296:
5290:
5095:
5041:
5017:
4971:
4905:
4862:
4860:Underlying data
4822:
4803:epidemic curves
4794:
4683:
4663:
4648:
4632:
4605:
4599:
4544:
4514:
4239:
4185:
4142:
4120:has two columns
4092:
4090:Data for 16 Feb
4004:Weak proposal C
3995:Weak proposal B
3966:Weak proposal A
3766:
3762:
3727:
3713:
3709:
3691:
3655:
3652:
3649:
3646:
3550:
3547:
3544:
3541:
3512:
3424:
3384:
3352:
3322:
3225:
3197:
3158:
3146:
3089:
3080:
3071:
2995:
2986:
2976:
2948:
2939:
2926:
2864:
2855:
2846:
2819:
2810:
2800:
2770:
2761:
2744:
2726:
2712:
2690:
2671:
2657:
2653:
2635:
2608:
2607:
2606:
2598:
2595:
2592:
2579:
2576:
2573:
2560:
2557:
2554:
2541:
2538:
2535:
2522:
2519:
2516:
2503:
2500:
2497:
2484:
2481:
2478:
2465:
2462:
2459:
2446:
2443:
2440:
2427:
2424:
2421:
2408:
2405:
2402:
2389:
2386:
2383:
2370:
2367:
2364:
2351:
2338:
2325:
2312:
2299:
2286:
2273:
2260:
2247:
2213:
2192:
2183:
2182:
2181:
2173:
2170:
2167:
2154:
2151:
2148:
2135:
2132:
2129:
2116:
2113:
2110:
2097:
2094:
2091:
2078:
2075:
2072:
2059:
2056:
2053:
2040:
2037:
2034:
2021:
2018:
2015:
2002:
1999:
1996:
1983:
1980:
1977:
1964:
1961:
1958:
1945:
1942:
1939:
1926:
1913:
1900:
1887:
1874:
1861:
1848:
1835:
1822:
1788:
1724:
1695:
1684:
1651:Hello? Anyone?
1634:
1578:
1542:
1526:
1510:
1483:
1449:
1410:137.132.211.138
1371:
1313:
1312:
1098:
1009:
1000:
994:
990:
984:
980:
974:
966:
956:
943:
942:
699:Average: 33.5%
697:
640:
638:
636:Projected cases
624:
612:
598:
581:
559:
556:
553:
550:
549:
527:
520:
455:
452:
449:
446:
445:
427:Medicine portal
425:
420:
418:
395:
367:
364:
361:
358:
357:
299:
296:
293:
290:
289:
265:COVID-19 portal
263:
256:
211:
208:
205:
202:
201:
179:
174:
172:
104:
103:
73:
29:
28:
21:
20:
12:
11:
5:
6506:
6504:
6496:
6495:
6490:
6485:
6480:
6475:
6470:
6465:
6460:
6455:
6450:
6445:
6440:
6435:
6430:
6425:
6420:
6415:
6410:
6400:
6399:
6385:216.252.66.112
6374:
6371:
6370:
6369:
6368:
6367:
6366:
6365:
6355:Alexiscoutinho
6343:
6327:Alexiscoutinho
6314:
6246:Alexiscoutinho
6230:Alexiscoutinho
6198:
6195:
6172:
6169:
6156:
6137:
6134:
6133:
6132:
6131:
6130:
6129:
6128:
6127:
6126:
6125:
6124:
6114:Alexiscoutinho
6089:Alexiscoutinho
6055:Alexiscoutinho
6040:Alexiscoutinho
6022:
6021:
6011:Alexiscoutinho
6007:
6006:
5999:
5998:
5995:
5994:
5991:
5990:
5963:
5962:
5848:
5845:
5817:
5806:
5805:
5804:
5803:
5802:
5801:
5800:
5799:
5798:
5788:Alexiscoutinho
5748:Alexiscoutinho
5731:Alexiscoutinho
5712:
5707:Alexiscoutinho
5693:
5690:
5689:
5688:
5687:
5686:
5676:Alexiscoutinho
5643:Alexiscoutinho
5631:
5628:
5627:
5626:
5625:
5624:
5623:
5622:
5621:
5620:
5619:
5618:
5617:
5616:
5615:
5614:
5613:
5612:
5611:
5610:
5609:
5608:
5607:
5606:
5605:
5604:
5594:Alexiscoutinho
5540:Alexiscoutinho
5499:
5498:
5497:
5496:
5495:
5494:
5493:
5492:
5491:
5490:
5489:
5488:
5487:
5486:
5485:
5484:
5483:
5482:
5472:Alexiscoutinho
5443:
5442:
5441:
5440:
5439:
5438:
5437:
5436:
5435:
5434:
5433:
5432:
5431:
5430:
5429:
5428:
5427:
5426:
5415:Alexiscoutinho
5379:Alexiscoutinho
5364:Alexiscoutinho
5337:Alexiscoutinho
5322:Alexiscoutinho
5301:Alexiscoutinho
5280:
5279:
5278:
5277:
5276:
5275:
5274:
5273:
5272:
5271:
5270:
5269:
5268:
5267:
5257:Alexiscoutinho
5243:Alexiscoutinho
5225:
5222:
5219:
5216:
5213:
5196:
5193:
5190:
5187:
5184:
5181:
5150:Alexiscoutinho
5114:
5113:80,026 (+0.3%)
5112:
5110:
5108:
5106:
5094:
5091:
5090:
5089:
5088:
5087:
5073:Alexiscoutinho
5066:
5065:
5055:Alexiscoutinho
5050:
5049:
5034:
5030:
5025:
4970:
4967:
4966:
4965:
4950:
4949:
4939:Alexiscoutinho
4904:
4901:
4900:
4899:
4889:Alexiscoutinho
4861:
4858:
4845:Best of luck.
4821:
4818:
4793:
4790:
4789:
4788:
4787:
4786:
4785:
4784:
4783:
4782:
4781:
4780:
4779:
4778:
4777:
4776:
4674:Alexiscoutinho
4598:
4595:
4594:
4593:
4583:Alexiscoutinho
4568:Alexiscoutinho
4564:
4549:
4547:
4543:
4540:
4539:
4538:
4537:
4536:
4441:
4440:
4425:
4424:
4423:
4422:
4404:
4403:
4389:
4373:
4372:
4353:
4352:
4338:Mainland China
4317:
4316:
4302:epidemic curve
4277:
4273:
4272:
4271:
4269:
4243:epidemic curve
4238:
4235:
4209:
4203:
4201:
4184:
4181:
4180:
4179:
4169:Alexiscoutinho
4164:GorillaWarfare
4141:
4138:
4137:
4136:
4121:
4091:
4088:
4087:
4086:
4085:
4084:
4083:
4082:
4081:
4080:
4079:
4078:
4077:
4076:
4075:
4074:
4046:Alexiscoutinho
4010:
4007:
4001:
3998:
3992:
3981:
3963:
3959:
3948:
3947:
3946:
3945:
3944:
3943:
3933:98.207.237.179
3928:
3924:counted twice!
3915:
3914:
3913:
3912:
3890:
3889:
3888:
3887:
3886:
3885:
3884:
3883:
3873:Alexiscoutinho
3854:Alexiscoutinho
3824:Alexiscoutinho
3818:
3817:
3802:
3801:
3800:
3799:
3798:
3797:
3787:Alexiscoutinho
3726:
3723:
3708:
3705:
3704:
3703:
3702:
3701:
3700:
3699:
3661:
3660:
3653:
3650:
3647:
3644:
3643:
3642:
3641:
3640:
3638:
3632:
3631:
3615:It looks like
3612:
3611:
3592:
3591:
3575:
3574:
3552:
3548:
3545:
3542:
3539:
3537:
3511:
3508:
3507:
3506:
3505:
3504:
3487:
3486:
3485:
3484:
3456:
3455:
3423:
3420:
3408:88.115.204.102
3383:
3380:
3379:
3378:
3377:
3376:
3347:
3346:
3345:
3344:
3309:
3308:
3307:
3306:
3305:
3304:
3284:
3283:
3282:
3281:
3260:
3259:
3224:
3221:
3196:
3193:
3192:
3191:
3190:
3189:
3175:
3144:
3143:
3142:
3141:
3140:
3139:
3138:
3055:
3054:
3053:
3052:
3051:
3050:
3049:
3048:
3047:
2924:
2880:
2879:
2878:
2877:
2876:
2875:
2782:
2781:
2725:
2722:
2721:
2720:
2704:
2697:
2689:
2686:
2670:
2667:
2646:
2645:
2644:
2643:
2610:
2609:
2603:
2602:
2599:
2596:
2593:
2590:
2588:
2584:
2583:
2580:
2577:
2574:
2571:
2569:
2565:
2564:
2561:
2558:
2555:
2552:
2550:
2546:
2545:
2542:
2539:
2536:
2533:
2531:
2527:
2526:
2523:
2520:
2517:
2514:
2512:
2508:
2507:
2504:
2501:
2498:
2495:
2493:
2489:
2488:
2485:
2482:
2479:
2476:
2474:
2470:
2469:
2466:
2463:
2460:
2457:
2455:
2451:
2450:
2447:
2444:
2441:
2438:
2436:
2432:
2431:
2428:
2425:
2422:
2419:
2417:
2413:
2412:
2409:
2406:
2403:
2400:
2398:
2394:
2393:
2390:
2387:
2384:
2381:
2379:
2375:
2374:
2371:
2368:
2365:
2362:
2360:
2356:
2355:
2352:
2349:
2347:
2343:
2342:
2339:
2336:
2334:
2330:
2329:
2326:
2323:
2321:
2317:
2316:
2313:
2310:
2308:
2304:
2303:
2300:
2297:
2295:
2291:
2290:
2287:
2284:
2282:
2278:
2277:
2274:
2271:
2269:
2265:
2264:
2261:
2258:
2256:
2252:
2251:
2248:
2245:
2243:
2239:
2238:
2236:
2234:
2231:
2230:
2220:
2219:
2218:
2215:
2214:
2211:
2191:
2188:
2185:
2184:
2178:
2177:
2174:
2171:
2168:
2165:
2163:
2159:
2158:
2155:
2152:
2149:
2146:
2144:
2140:
2139:
2136:
2133:
2130:
2127:
2125:
2121:
2120:
2117:
2114:
2111:
2108:
2106:
2102:
2101:
2098:
2095:
2092:
2089:
2087:
2083:
2082:
2079:
2076:
2073:
2070:
2068:
2064:
2063:
2060:
2057:
2054:
2051:
2049:
2045:
2044:
2041:
2038:
2035:
2032:
2030:
2026:
2025:
2022:
2019:
2016:
2013:
2011:
2007:
2006:
2003:
2000:
1997:
1994:
1992:
1988:
1987:
1984:
1981:
1978:
1975:
1973:
1969:
1968:
1965:
1962:
1959:
1956:
1954:
1950:
1949:
1946:
1943:
1940:
1937:
1935:
1931:
1930:
1927:
1924:
1922:
1918:
1917:
1914:
1911:
1909:
1905:
1904:
1901:
1898:
1896:
1892:
1891:
1888:
1885:
1883:
1879:
1878:
1875:
1872:
1870:
1866:
1865:
1862:
1859:
1857:
1853:
1852:
1849:
1846:
1844:
1840:
1839:
1836:
1833:
1831:
1827:
1826:
1823:
1820:
1818:
1814:
1813:
1811:
1809:
1806:
1805:
1795:
1794:
1793:
1790:
1789:
1786:
1743:92.117.140.183
1723:
1720:
1719:
1718:
1708:Alexiscoutinho
1683:
1680:
1679:
1678:
1668:Alexiscoutinho
1633:
1630:
1603:173.178.47.171
1593:
1592:
1591:
1590:
1589:
1588:
1587:
1586:
1518:
1482:
1479:
1448:
1445:
1433:173.178.47.171
1422:
1421:
1375:180.129.30.246
1370:
1367:
1337:
1336:
1330:Pontificalibus
1309:
1308:
1305:
1303:
1299:
1298:
1295:
1293:
1289:
1288:
1285:
1283:
1279:
1278:
1275:
1273:
1269:
1268:
1265:
1263:
1259:
1258:
1255:
1253:
1249:
1248:
1245:
1243:
1239:
1238:
1235:
1233:
1229:
1228:
1225:
1223:
1219:
1218:
1215:
1213:
1209:
1208:
1205:
1203:
1199:
1198:
1195:
1193:
1189:
1188:
1185:
1183:
1179:
1178:
1175:
1173:
1169:
1168:
1165:
1163:
1159:
1158:
1155:
1153:
1149:
1148:
1145:
1143:
1139:
1138:
1135:
1133:
1129:
1128:
1125:
1123:
1119:
1118:
1115:
1113:
1109:
1108:
1106:
1104:
1101:
1100:
1097:
1096:
1089:
1082:
1074:
1066:
1060:
1059:
1057:
1054:
1022:
1020:
1019:
1018:
1017:
939:
938:
935:
933:
929:
928:
925:
923:
919:
918:
915:
913:
909:
908:
905:
903:
899:
898:
895:
893:
889:
888:
885:
883:
879:
878:
875:
873:
869:
868:
865:
863:
859:
858:
855:
853:
849:
848:
845:
843:
839:
838:
835:
833:
829:
828:
825:
823:
819:
818:
815:
813:
809:
808:
805:
803:
799:
798:
795:
793:
789:
788:
785:
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779:
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560:virus articles
546:the discussion
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529:Viruses portal
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6140:I've created
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5836:contributions
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5807:
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4018:
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4008:
4005:
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3999:
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3156:
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3120:
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3110:
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3021:
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3019:
3015:
3011:
3007:
3006:
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2999:
2993:
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2909:
2905:
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2897:
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2890:
2886:
2874:
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2869:
2868:
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2859:
2850:
2845:
2844:
2843:
2839:
2835:
2831:
2830:
2829:
2826:
2824:
2823:
2817:
2815:
2814:
2804:
2799:
2798:
2797:
2796:
2792:
2788:
2780:
2777:
2775:
2774:
2768:
2766:
2765:
2758:
2754:
2748:
2743:
2742:
2741:
2740:
2736:
2732:
2723:
2719:
2716:
2709:
2705:
2702:
2698:
2695:
2694:
2693:
2687:
2685:
2684:
2680:
2676:
2668:
2666:
2665:
2660:
2656:
2651:
2642:
2639:
2632:
2628:
2627:
2626:
2622:
2618:
2614:
2613:
2601:31,161 (+11%)
2589:
2585:
2582:28,018 (+15%)
2570:
2566:
2563:24,324 (+19%)
2551:
2547:
2544:20,438 (+19%)
2532:
2528:
2525:17,205 (+20%)
2513:
2509:
2506:14,380 (+22%)
2494:
2490:
2487:11,791 (+22%)
2475:
2471:
2456:
2452:
2437:
2433:
2418:
2414:
2399:
2395:
2380:
2376:
2361:
2357:
2348:
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2335:
2331:
2322:
2318:
2309:
2305:
2296:
2292:
2283:
2279:
2270:
2266:
2257:
2253:
2250:45 (--------)
2244:
2240:
2235:
2232:
2229:daily reports
2228:
2223:
2217:
2216:
2210:
2209:
2206:
2205:
2201:
2197:
2189:
2176:31,161 (+11%)
2164:
2160:
2157:28,018 (+15%)
2145:
2141:
2138:24,324 (+19%)
2126:
2122:
2119:20,438 (+19%)
2107:
2103:
2100:17,205 (+20%)
2088:
2084:
2081:14,380 (+22%)
2069:
2065:
2062:11,791 (+22%)
2050:
2046:
2031:
2027:
2012:
2008:
1993:
1989:
1974:
1970:
1955:
1951:
1936:
1932:
1923:
1919:
1910:
1906:
1897:
1893:
1884:
1880:
1871:
1867:
1858:
1854:
1845:
1841:
1832:
1828:
1825:45 (--------)
1819:
1815:
1810:
1807:
1804:daily reports
1803:
1798:
1792:
1791:
1785:
1784:
1781:
1780:
1776:
1772:
1769:Added it now
1767:
1766:
1762:
1758:
1757:96.255.82.196
1753:
1752:
1748:
1744:
1739:
1738:
1734:
1730:
1721:
1717:
1713:
1709:
1705:
1704:
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1702:
1699:
1692:
1689:
1677:
1673:
1669:
1665:
1664:
1663:
1662:
1658:
1654:
1649:
1648:
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1640:
1631:
1629:
1628:
1624:
1620:
1614:
1612:
1608:
1604:
1600:
1585:
1582:
1575:
1570:
1566:
1565:
1564:
1560:
1556:
1551:
1550:
1549:
1546:
1539:
1535:
1534:
1533:
1530:
1523:
1519:
1514:
1513:92.117.241.19
1509:
1508:
1507:
1505:
1501:
1497:
1496:92.117.241.19
1493:
1486:
1480:
1478:
1476:
1472:
1468:
1464:
1460:
1454:
1446:
1444:
1442:
1438:
1434:
1430:
1419:
1415:
1411:
1407:
1401:
1400:
1399:
1398:
1394:
1390:
1385:
1384:
1380:
1376:
1368:
1366:
1362:
1359:
1357:
1353:
1349:
1348:92.117.135.34
1345:
1335:
1332:
1326:
1322:
1318:
1315:
1314:
1304:
1300:
1294:
1290:
1284:
1280:
1274:
1270:
1264:
1260:
1254:
1250:
1244:
1240:
1234:
1230:
1224:
1220:
1214:
1210:
1204:
1200:
1194:
1190:
1184:
1180:
1174:
1170:
1164:
1160:
1154:
1150:
1144:
1140:
1134:
1130:
1124:
1120:
1114:
1110:
1105:
1102:
1095:
1090:
1088:
1083:
1081:
1076:
1075:
1072:
1070:daily reports
1069:
1063:
1058:
1055:
1052:
1051:
1047:
1043:
1038:
1036:
1032:
1028:
1023:
1016:
1013:
1006:
999:
989:
979:
970:
965:
964:
963:
960:
953:
949:
945:
944:
934:
930:
924:
920:
914:
910:
904:
900:
894:
890:
884:
880:
874:
870:
864:
860:
854:
850:
844:
840:
834:
830:
824:
820:
814:
810:
804:
800:
794:
790:
784:
780:
774:
770:
764:
760:
754:
750:
744:
740:
735:
732:
725:
723:daily reports
722:
716:
711:
710:
706:
702:
694:
693:
689:
685:
680:
679:
675:
671:
664:
660:
656:
652:
651:GyozaDumpling
648:
644:
635:
628:
623:
622:
619:
616:
609:
606:daily tally.
602:
597:
596:
595:
594:
590:
586:
564:
547:
543:
539:
538:
530:
524:
519:
517:
514:
510:
509:
505:
502:
499:
496:
492:
479:
478:
468:
464:
463:
460:
443:
442:
437:
436:
428:
417:
415:
412:
408:
407:
403:
399:
394:
391:
388:
384:
372:
355:
351:
347:
346:
341:
338:
334:
333:
329:
326:
323:
320:
316:
304:
287:
283:
279:
275:
274:
266:
260:
255:
253:
250:
246:
245:
241:
238:
235:
232:
228:
216:
199:
195:
191:
190:
182:
171:
169:
166:
162:
161:
157:
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139:
135:
129:
125:
121:
112:
111:
99:
95:
93:
90:
88:
84:
81:
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76:
75:
69:
65:
64:Learn to edit
61:
58:
53:
52:
49:
48:
43:
39:
35:
34:
25:
19:
6379:— Preceding
6376:
6373:Updated data
6200:
6181:
6174:
6141:
6139:
6074:
6068:
6060:
5975:collapsible=
5959:<div: -->
5877:
5871:
5863:
5850:
5819:
5763:
5703:
5641:
5553:
5535:
5531:
5407:inline block
5401:
5221:80,27 (+0.15
5183:80,02 (+0.3%
5163:
5107:80,02 (+0.3%
5104:
5002:
4999:
4996:
4993:
4989:
4982:
4975:
4972:
4920:
4906:
4866:James Howard
4863:
4844:
4837:
4834:
4831:
4823:
4795:
4606:
4545:
4515:
4488:
4466:
4455:CheeseBuffet
4449:
4376:
4357:
4280:
4274:
4240:
4219:
4215:
4211:
4205:
4186:
4147:
4143:
4093:
4025:
4003:
3994:
3988:
3984:
3977:
3973:
3969:
3965:
3923:
3897:
3869:CheeseBuffet
3839:CheeseBuffet
3807:CheeseBuffet
3741:
3738:
3735:
3728:
3714:
3710:
3680:color theory
3666:CheeseBuffet
3559:CheeseBuffet
3551:
3536:
3533:
3530:
3527:
3524:
3521:
3513:
3463:— Preceding
3425:
3402:— Preceding
3398:
3393:
3390:
3385:
3360:
3226:
3205:
3198:
3154:
3122:
3091:
3090:
3082:
3081:
3032:
3027:
2997:
2996:
2988:
2987:
2950:
2949:
2941:
2940:
2934:
2881:
2866:
2865:
2857:
2856:
2821:
2820:
2812:
2811:
2783:
2772:
2771:
2763:
2762:
2727:
2691:
2672:
2669:Discrepancy?
2650:MOS:CONTRAST
2647:
2468:9,692 (+26%)
2449:7,711 (+29%)
2430:5,974 (+32%)
2411:4,515 (+64%)
2392:2,744 (+39%)
2373:1,975 (+53%)
2354:1,287 (+55%)
2193:
2043:9,692 (+26%)
2024:7,711 (+29%)
2005:5,974 (+32%)
1986:4,515 (+64%)
1967:2,744 (+39%)
1948:1,975 (+53%)
1929:1,287 (+55%)
1771:CheeseBuffet
1768:
1754:
1740:
1729:CheeseBuffet
1725:
1685:
1650:
1635:
1615:
1597:— Preceding
1594:
1490:— Preceding
1487:
1484:
1457:— Preceding
1450:
1427:— Preceding
1423:
1404:— Preceding
1389:92.117.251.9
1386:
1372:
1363:
1360:
1342:— Preceding
1338:
1316:
1056:
1053:
1039:
1024:
1021:
698:
681:
639:
582:
535:
475:
439:
433:
343:
271:
187:
181:China portal
134:WikiProjects
123:
36:This is the
6288:that calls
6278:that calls
5936:collapsible
5638:The problem
5189:Changed to:
4725:Ijon Tichy
4670:Rethliopuks
4624:ColorBrewer
4469:Peterwu2019
4430:Phoenix7777
4342:Phoenix7777
4101:Rethliopuks
3902:Rethliopuks
3745:Ijon Tichy
3731:this revert
3621:Rethliopuks
3601:Rethliopuks
3581:Rethliopuks
3516:WP:COLORWAR
3494:Rethliopuks
3469:Martinwuhan
3445:Rethliopuks
3429:Martinwuhan
3366:Rethliopuks
3294:Rethliopuks
3249:Rethliopuks
3233:Rethliopuks
2675:Anne Delong
2617:Anne Delong
983:and create
398:Pulmonology
6402:Categories
6003:togglesbar
4885:this table
4601:See also:
3989:n_clinical
2747:Atheist723
2731:Atheist723
2724:02-12 data
2587:2020-02-06
2568:2020-02-05
2549:2020-02-04
2530:2020-02-03
2511:2020-02-02
2492:2020-02-01
2473:2020-01-31
2454:2020-01-30
2435:2020-01-29
2416:2020-01-28
2397:2020-01-27
2378:2020-01-26
2359:2020-01-25
2346:2020-01-24
2341:830 (+45%)
2333:2020-01-23
2328:571 (+30%)
2320:2020-01-22
2315:440 (+51%)
2307:2020-01-21
2302:291 (+47%)
2294:2020-01-20
2289:198 (+64%)
2281:2020-01-19
2276:121 (+95%)
2268:2020-01-18
2255:2020-01-17
2242:2020-01-16
2162:2020-02-06
2143:2020-02-05
2124:2020-02-04
2105:2020-02-03
2086:2020-02-02
2067:2020-02-01
2048:2020-01-31
2029:2020-01-30
2010:2020-01-29
1991:2020-01-28
1972:2020-01-27
1953:2020-01-26
1934:2020-01-25
1921:2020-01-24
1916:830 (+45%)
1908:2020-01-23
1903:571 (+30%)
1895:2020-01-22
1890:440 (+51%)
1882:2020-01-21
1877:291 (+47%)
1869:2020-01-20
1864:198 (+64%)
1856:2020-01-19
1851:121 (+95%)
1843:2020-01-18
1830:2020-01-17
1817:2020-01-16
1302:2020-02-04
1292:2020-02-03
1282:2020-02-02
1272:2020-02-01
1262:2020-01-31
1252:2020-01-30
1242:2020-01-29
1232:2020-01-28
1222:2020-01-27
1212:2020-01-26
1202:2020-01-25
1192:2020-01-24
1182:2020-01-23
1172:2020-01-22
1162:2020-01-21
1152:2020-01-20
1142:2020-01-19
1132:2020-01-18
1122:2020-01-17
1112:2020-01-16
932:2020-02-04
922:2020-02-03
912:2020-02-02
902:2020-02-01
892:2020-01-31
882:2020-01-30
872:2020-01-29
862:2020-01-28
852:2020-01-27
842:2020-01-26
832:2020-01-25
822:2020-01-24
812:2020-01-23
802:2020-01-22
792:2020-01-21
782:2020-01-20
772:2020-01-19
762:2020-01-18
752:2020-01-17
742:2020-01-16
6353:Awesome.
5764:Doc James
5744:Doc James
5218:1 (+0.2%)
5195:6 (+0.3%)
4955:Idealigic
4666:Wikilucki
4609:Wikilucki
4516:Doc James
4126:Chris vLS
4064:Chris vLS
4031:Chris vLS
3149:Sabretoof
3105:Sabretoof
3074:Sabretoof
3059:Sabretoof
2914:Sabretoof
2885:Sabretoof
2263:62 (+38%)
2196:Osunpokeh
1838:62 (+38%)
998:2019-nCoV
100:if needed
83:Be polite
44:template.
38:talk page
6381:unsigned
6072:articles
6001:4 - The
5875:articles
5774:contribs
5656:I tried
5389:RayDeeUx
5358:RayDeeUx
5343:RayDeeUx
5136:RayDeeUx
5077:RayDeeUx
5071:Thanks,
5020:RayDeeUx
5004:RayDeeUx
4747:RayDeeUx
4721:RayDeeUx
4707:RayDeeUx
4660:RayDeeUx
4526:contribs
4283:WP:MEDRS
4247:WP:MEDRS
4198:WP:MEDRS
4190:WP:MEDRS
4150:pauli133
3477:contribs
3465:unsigned
3404:unsigned
3163:value.
2753:BNO News
1619:Narringa
1599:unsigned
1492:unsigned
1471:contribs
1459:unsigned
1429:unsigned
1406:unsigned
1344:unsigned
1257:11,512
655:Eyesnore
647:Akira CA
601:Colin dm
585:Colin dm
447:Medicine
393:Medicine
291:COVID-19
278:COVID-19
237:COVID-19
124:template
68:get help
6283:Bar box
6078:reviews
5881:reviews
5823:hueman1
4762:my edit
4693:Hello,
4672:, and
4561:Bar Box
4377:Comment
4306:Eostrix
4220:passive
3573:middle.
3355:Lambiam
3325:Lambiam
3315:Lambiam
3123:numbers
1567:I used
1307:85,402
1297:57,201
1287:38,313
1277:25,661
1267:17,188
661:, and
551:Viruses
542:viruses
501:Viruses
6337:Ahecht
6308:Ahecht
6260:has a
6204:Ahecht
5662:FredTC
5580:FredTC
5558:FredTC
5518:FredTC
5383:Here:
5316:FredTC
5229:FredTC
5200:FredTC
5168:FredTC
5132:FredTC
5117:FredTC
5042:(talk)
4807:Almaty
4766:FredTC
4743:FredTC
4703:FredTC
4684:(talk)
4658:Hello
4649:(talk)
4642:Done.
4633:(talk)
4393:Almaty
4287:Almaty
4255:Almaty
4224:Almaty
4216:active
3692:(talk)
2979:Beland
2964:Beland
2929:Beland
2900:Beland
2849:Beland
2834:Beland
2803:Beland
2787:Beland
2713:(talk)
2636:(talk)
1696:(talk)
1579:(talk)
1543:(talk)
1527:(talk)
1463:Samozd
1247:7,711
1237:5,974
1227:4,515
1217:2,744
1207:1,975
1197:1,287
1010:(talk)
957:(talk)
937:45,147
927:33,818
917:25,332
907:18,975
897:14,213
887:10,647
663:Mardus
659:Samozd
613:(talk)
130:scale.
5898:class
5778:email
5715:Zarex
5215:80,15
5192:80,02
4530:email
3985:n_lab
3764:Leviv
3715:Shyam
3247:case.
3083:Jayab
2989:Jayab
2942:Jayab
2858:Jayab
2813:Jayab
2764:Jayab
2655:Leviv
1653:Kjpmi
1639:Kjpmi
1572:30%.
1327:.----
877:7,975
867:5,974
857:4,515
847:2,744
837:1,975
827:1,287
203:China
194:China
153:China
122:This
96:Seek
16:<
6389:talk
6359:talk
6344:PAGE
6342:TALK
6335:. --
6331:see
6315:PAGE
6313:TALK
6234:talk
6188:talk
6184:Efly
6160:Talk
6118:talk
6110:data
6093:talk
6066:talk
6044:talk
6015:talk
5971:-l15
5955:-l15
5896:and
5869:talk
5828:talk
5792:talk
5770:talk
5752:talk
5735:talk
5719:talk
5680:talk
5666:talk
5658:this
5647:talk
5598:talk
5584:talk
5574:and
5562:talk
5556:. --
5544:talk
5522:talk
5476:talk
5419:talk
5393:talk
5368:talk
5347:talk
5326:talk
5305:talk
5261:talk
5247:talk
5233:talk
5224:6 %)
5204:talk
5172:talk
5154:talk
5140:talk
5121:talk
5081:talk
5059:talk
5008:talk
4959:talk
4943:talk
4928:talk
4913:talk
4893:talk
4870:talk
4851:talk
4811:talk
4770:talk
4751:talk
4729:talk
4711:talk
4613:talk
4587:talk
4572:talk
4522:talk
4495:talk
4473:talk
4459:talk
4434:talk
4416:talk
4410:set?
4397:talk
4366:talk
4346:talk
4310:talk
4291:talk
4259:talk
4253:. --
4245:per
4228:talk
4212:this
4173:talk
4154:talk
4130:talk
4105:talk
4068:talk
4050:talk
4035:talk
4017:talk
4013:Boud
3987:and
3937:talk
3906:talk
3877:talk
3858:talk
3843:talk
3828:talk
3811:talk
3791:talk
3749:talk
3670:talk
3625:talk
3605:talk
3585:talk
3563:talk
3498:talk
3473:talk
3449:talk
3433:talk
3412:talk
3391:and
3370:talk
3338:talk
3298:talk
3275:talk
3253:talk
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3214:talk
3210:Boud
3183:talk
3169:talk
3132:talk
3109:talk
3063:talk
3041:talk
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3014:talk
3010:Boud
2968:talk
2918:talk
2904:talk
2889:talk
2838:talk
2791:talk
2757:here
2735:talk
2679:talk
2652:. –
2621:talk
2200:talk
1775:talk
1761:talk
1747:talk
1733:talk
1712:talk
1686:See
1672:talk
1657:talk
1643:talk
1623:talk
1607:talk
1559:talk
1500:talk
1467:talk
1437:talk
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1393:talk
1379:talk
1352:talk
1317:Note
1187:830
1177:571
1167:440
1157:291
1147:198
1137:121
1046:talk
1031:talk
705:talk
688:talk
674:talk
589:talk
282:join
85:and
5979:yes
5186:6 )
5130:Hi
5109:6 )
5037:Yug
4874:web
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4679:Yug
4644:Yug
4628:Yug
4412:Hzh
4358:and
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3768:ich
3733::
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3271:Hzh
3206:all
3092:314
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2951:314
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1691:Yug
1574:Yug
1538:Yug
1522:Yug
1127:62
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1005:Yug
1003::D
952:Yug
946:Hi
817:830
807:571
797:440
787:291
777:198
767:121
643:Yug
627:Yug
608:Yug
6404::
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6318:)
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6280:{{
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2014:
2001:
1998:
1995:
1982:
1979:
1976:
1963:
1960:
1957:
1944:
1941:
1938:
1925:
1912:
1899:
1886:
1873:
1860:
1847:
1834:
1821:
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1731:(
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1670:(
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1605:(
1557:(
1515::
1511:@
1498:(
1465:(
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1099:)
1093:e
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1079:v
1073:(
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971::
967:@
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672:(
665::
641:@
629::
625:@
603::
599:@
587:(
480:.
444:.
288:.
136::
70:.
26:)
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