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Coronavirus Country Comparator
- arcticbull 7y agoThis is incredibly pretty and deserves a serious round of applause. The UI is gorgeous and very usable, the only thing that threw me is when you hover over a line, I wish it would show which country it corresponds to. With that said I still find a log-log plot much easier to interpret, and so far, the gold standard on trend clarity visualization remains Aatish Bhatia's (https://aatishb.com/covidtrends/ https://aatishb.com/covidtrends/). Maybe a way to switch to a similar log/log scale? Otherwise it's very difficult to figure out when a given country approaches the knee.
- amelius 7y agoBtw, the prettiest presentation I've seen so far is this one: https://www.covid.is/data https://www.covid.is/data (though only for Iceland)
- tabs_masterrace 7y agoLooks nice and clean, not sure about the bouncy animations though. I mean these are charts of people dying, it doesn't fell all that appropriate. Simple ease out would be more fitting.
- blitmap 7y agoI agree. This is the best one I've seen and I love that I can add/remove countries and switch between linear and log scale. Definitely add log-log. (Thank you, this is great!)
- silon42 7y agoSeems to have some issues in Firefox for me. Anyone else?
- MiguelVieira 7y agoOne thing this chart highlights is the unsung success stories among the US states. Some isolated and sparsely populated states are doing quite well: Alaska, Hawaii, Wyoming, Montana, Idaho, Vermont.
- paul_f 7y agoI would say some large states are also doing well per-capita - Texas, California, Florida - all three less than one-third the per-capita death rate for the country as a whole. California is 3X Montana, New York is 86X Montana.
- arcticbull 7y agoThat could just be density or demographics, or fewer people with co-morbidities. I doubt it's anything to do with different approaches taken by states -- after all Wyoming didn't even have lockdowns until a week or two ago. Nebraska, Iowa, the Dakotas and Arkansas aren't under any form of lockdown at all.
- amelius 7y agoSome missing features (imho): - overlaying the graphs from the moment of the first case (shifting the data in time) - ICU beds available/used - overlay of measures taken (e.g. when did social distancing start) - easily showing differences in time (e.g. dragging between two dates shows the number of days between them)
- the8472 7y ago> - overlaying the graphs from the moment of the first case (shifting the data in time) That's available in the bottom left. You can align to either deaths or confirmed cases.
- pjc50 7y agoWhat went wrong with Belgium??
- DanBC 7y agoBelgium counts confirmed deaths in hospitals, but also counts suspected deaths outside hospitals -- so it's including care homes and nursing homes. These deaths can be about 50% of the total deaths. https://www.theguardian.com/world/2020/apr/24/is-comparing-covid-19-death-rates-across-europe-helpful-?CMP=Share_iOSApp_Other https://www.theguardian.com/world/2020/apr/24/is-comparing-c... > But such comparisons can be misleading. Unlike the UK, Italy or Spain, Belgium counts all coronavirus deaths outside hospitals in its daily statistics: deaths in care homes account for 53% of the total. Belgium’s official toll also includes people suspected of having died of coronavirus, without a confirmed diagnosis. Nearly all deaths in care homes (94%) are suspected Covid-19 cases, rather than confirmed – an approach that has led some to complain Belgium is overestimating the number of fatalities. (They probably aren't over counting. Covid-19 is devastating for nursing homes and care homes).
- sgt101 7y agoYup, serious work to put the numbers on a solid footing required in the next months and years
- Luc 7y agoIn some measure they have _less_ excess deaths than an average of the last years (after subtracting the counted Covid-19 cases), which would be an indication that they are over-counting.
- Lewton 7y agoAre you looking at the correct demographics? We’re seeing a pretty big drop in all cause mortality outside risk groups due to lockdowns
- raphaelj 7y agoThe government actually issues the two numbers [1]. Current (Apr 26) toll is 7,094 if you include suspected deaths, but is 3,596 if you only count positive cases. -- [1] https://covid-19.sciensano.be/sites/default/files/Covid19/Derni%C3%A8re%20mise%20%C3%A0%20jour%20de%20la%20situation%20%C3%A9pid%C3%A9miologique.pdf https://covid-19.sciensano.be/sites/default/files/Covid19/De...
- ekianjo 7y agoNice, but such comparisons are kind of useless since the testing and reporting varies widely by country, so there's nothing you can compare when you look down into details.
- tomgaga 7y agoYeah, I really don't understand why people are still comparing these numbers like this. It's much more objective to just compare "excess number of deaths compared to last year per million". Like the New York times did: https://www.nytimes.com/interactive/2020/04/21/world/coronavirus-missing-deaths.html https://www.nytimes.com/interactive/2020/04/21/world/coronav...
- easytiger 7y agoThat's also not useful. Compare with a season of flu outbreaks, which last year wasn't
- henrikschroder 7y agoEuromomo shows data back to 2016, so you can see how 2020 compares to a bad flu year (2017) and a "good" flu year (2019): https://euromomo.eu/graphs-and-maps/ https://euromomo.eu/graphs-and-maps/
- kolinko 7y agoIn some countries the excess deaths are higher that during a worst flew year in the last 5 years. But also, since the virus is growing exponentially, differences in countries is by 10-100x, while the differences in the number of tests performed seems to be closer to 2-10x.
- ferzul 7y agothe answer is simple: the data is there. you can't compare vietnam and germany on that page - if you can access it. (if i have to signup to read or buy, i'm not really interested. anonymous access used to be possible with paper, and it's still possible today)
- cvladan 7y agocovidly.com ?
- ghego1 7y agoVery nice UI indeed, although the data does not seem to be up to date
- catchmilk 7y agoUI is gorgeous. Anyone happen to know if they're using a charting library?
- sk0g 7y agoVue.JS/ Ruby/ D3 is what Wappalyzer picks up for this. D3 is very powerful, but there's a lot to learn too!
- catchmilk 7y agoMuch appreciated. Any D3 learning resources you would personally recommend?
- sk0g 7y agoI never got fully through it, but Amelia Wattenberger's book [0] on it is very good! There's a fairly soft ramp up in complexity, and the later chapters are complex enough that even the previews make you excited to reach and implement them. If you just want to dip your toes in though, the official website's linked gallery [1] is a pretty cool resource. No set up or data loading required! [0] https://www.newline.co/fullstack-d3 https://www.newline.co/fullstack-d3 [1] https://observablehq.com/@d3/gallery https://observablehq.com/@d3/gallery
- lettergram 7y agoI’d recommend not using “cases”, but rather deaths. Most countries don’t have the testing capacity. In fact, if you look at places like the USA testing capacity is effectively flat. Yet 20% of the tests are coming back positive... Italy on the other hand has seen a decrease in positive rate as they are increasing testing. That’s what happens as you’re nearing Or over a peak. All countries seem to have some method of testing / adding suspect cases of people who died. As such, that’s probably the most accurate (albeit lagging) method of comparison. https://github.com/lettergram/covid19-analysis https://github.com/lettergram/covid19-analysis
- Tepix 7y agoGood idea. May not work well with countries reporting wrong numbers- even of deaths- on purpose, like Brazil.
- dede4metal 7y agoMoreover in each country the definition of recovered is very different. The most strict is in Italy were you need two swabs both positives within 24h
- Tepix 7y agoYou mean negative? That does't sound like the strictest to me. I have heard Prof. Drosten talk about tests further apart
- dede4metal 7y agoYeah negative sorry
- chvid 7y agoDeaths are also counted differently.
- dilap 7y agoDeath attribution can vary; I think deaths themselves -- as in, how many people have died, from any cause -- should be fairly reliable and comparable. So for the clearest, most unbiased picture of COVID impact, calculate % increase over normal death rate by country, and then compare that. (I guess. Just spitballing.)
- zelphirkalt 7y agoThe one thing I find to criticize is, that if you don't want to be tracked on that website, and disable Google fonts, the whole UI for the left side panel is messed up. This should have been tested and alternatives should have been provided. It is a classical and very common UI and usability mistake to simply assume that everyone will load Google fonts. Aside from that, the visualization looks very nice.
- mrtksn 7y agoIsn't it interesting that there isn't much of interest for the most successful major European-Asian country out there? I am talking about Turkey, where death rates are even lower than Germany and the curfews are partial. There's an abundance of IC units despite the 100K cases and the spread curve is already going down and the country is in a position to offer substantial help to other major countries. There have been some CNN[0] and BBC reporting on this but with the numbers THAT good, I would have expected much higher interest. I know about the democracy and free speech situation but the country is not North Korea, Turkey is actually doing that good in managing the situation. Just switch Turkey on in this website and you'll see how much better Turkey is doing. I am beginning to suspect that the Eurocentric mindset is literally killing Europeans at this time. There's a hugely successful country that is integrated with Europe, has some of its territory in Europe, it has a population of a large European country and yet nobody seems to think about looking at Turkey for an example. As a quick note, Turkey manages to do this through aggressive contact tracing through thousands of tracking teams around the country. It was revealed that in Istanbul alone there are 1200 contact tracing teams consisting of doctors, nurses and etc. that track down every infection. It's not as cool as having Tech giants make an app but it works. According to the health ministry, these teams use purpose built apps to coordinate and the entire health system is well integrated and they monitor every single patients status - be it at home or in the hospital and have very good picture of the situation. Turkey has many problems but the health system is not one of them and maybe it's worth taking a look at. [0]: https://edition.cnn.com/videos/world/2020/04/21/inside-turkey-icu-coronavirus-arwa-damon-pkg-cnni-vpx.cnn/video/playlists/coronavirus-intl/ https://edition.cnn.com/videos/world/2020/04/21/inside-turke...
- renox 7y agoHow about Czech Republic? I think that's an even better example.
- mrtksn 7y agoSure, why not, they are doing great too. However, Turkey has a population of 82 million(and more than 5 million refugees) which is in par with the UK, France, Germany. You don't have the excuse of "It's a small country" when it comes to Turkey. Thousands of citizens were repatriated, large PPE deliveries to the UK, Spain, Italy and so on, the death rate is at 2.5, the hospital bed occupancy rate was at about %50, ICU occupancy rate at about 60% last time I checked. The country is doing something right and is doing it right at scale.
- MiguelVieira 7y agoI prefer this one. Use "New Deaths, 1 Wk. Avg." Plots US states as well as countries. http://91-divoc.com/pages/covid-visualization/ http://91-divoc.com/pages/covid-visualization/
- Fiahil 7y agoYour data source is compromised. France's confirmed case count is 124k not 161k. You're off by 40k. Source: https://dashboard.covid19.data.gouv.fr/ https://dashboard.covid19.data.gouv.fr/
- doodlebugging 7y agoSweden has an interesting pattern with a period of about one week. It appears that they have some activity that occurs weekly that results in new cases. There is a persistent 2-3 day plateau before the next caseload increase.
- detaro 7y agoYou can see that for some other places too, e.g. Germany. I suspect it's just the weekend and reporting chains being slower then (it certainly plays a role in German data). The data then appears over the next week, but if you just daily calculate the difference between the numbers announced on that day for your graphs, you don't see that it is being backfilled in the new week, even if the country releases that detail.
- stillbourne 7y agoCan this also be weighted by number of tests per million?