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So before I duplicate any effort, has anyone found a tracker that takes this dataset's death counts and updates a Pueyo/Khan Academy-style graph [1], at differe
by yourapostasy 7y ago
So before I duplicate any effort, has anyone found a tracker that takes this dataset's death counts and updates a Pueyo/Khan Academy-style graph [1], at different granular levels (world, nation, province/state)? Pueyo's analysis technique uses deaths each day to impute a back-looking inferred actual infected count instead of relying upon reported testing numbers, and that in turn can be used to infer a two-week forward-looking infected and death count based upon currently-known stats on average time to hospitalization and mortality. After two weeks, it gets increasingly more speculative, but by the time you have number of known deaths today, you almost have a baked-in outcome two weeks from now.
[1] https://www.youtube.com/watch?v=mCa0JXEwDEk https://www.youtube.com/watch?v=mCa0JXEwDEk
- JoeAltmaier 7y agoNot this data, but I like Johns Hopkins rendering of their data: https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.h...
- wolco 7y agoThis site has some of what you want. https://wuflu.live https://wuflu.live
- deleted 7y ago[deleted]
- bart_spoon 7y agoDoesn't that method assume we know the mortality rate, which we absolutely do not right now? It also would fail to account for any kind of containment measures.