A microscope on pandemics.
h/t @jvantill, @steeph, @PeterSpitters, @HMDatabase, @ArielKarlinsky, @hippopedoid.
🧵
1.Find age specific testing data and confirmed case fatality rates per given period of time.
2.Correlate confirmed #Covid19 deaths with reported excess mortality.
h/t @jvantill, @steeph, @PeterSpitters, @HMDatabase, @ArielKarlinsky, @hippopedoid.
🧵
1.Find age specific testing data and confirmed case fatality rates per given period of time.
2.Correlate confirmed #Covid19 deaths with reported excess mortality.
3.Correct the excess mortality rate for the fact that there is hardly any Influenza* around these days.
4.Combine all data in a spreadsheet (various equations with various unknowns) estimating general virus population prevalence.
*
4.Combine all data in a spreadsheet (various equations with various unknowns) estimating general virus population prevalence.
*
https://twitter.com/falsel_net/status/1533691083443654661
5.Input calculated age specific infection risks, and time weighted vaccination% in a cross-sectional regression analysis.
6.Estimate regression parameters, that would describe mortality most likely caused by extraordinary #SARSCoV2 prevalence.
6.Estimate regression parameters, that would describe mortality most likely caused by extraordinary #SARSCoV2 prevalence.
https://twitter.com/falsel_net/status/1481219915277291522
7.Validate results of the regression model with Human Mortality Database excess mortality over week-specific lower-quartile baseline for mortality 2010-2019.
https://twitter.com/HMDatabase/status/1532358120739155968
@threadreaderapp please compile
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