schihei/covid19-age-stratified-ifr
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

readme: prevalence among age brackets

Browse Source
This commit is contained in:
Marc Bevand
2020-06-10 10:21:17 -07:00
parent cb371f04a8
commit 52fd0407fe
1 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+3 -3
View File
@@ -64,9 +64,9 @@ $ ./calc_ifr.py
IFR on target country assuming disease prevalence equal among ages: 0.658%
```
However IFR is highly dependent on factors other than age: availability
of healthcare, population health, etc, so this estimate should be interpreted
with caution.
However the average IFR is highly dependent on factors other than age:
varying prevalence among age brackets, availability of healthcare, population
health, etc, so this estimate should be interpreted with caution.
[sero]: https://portalcne.isciii.es/enecovid19/ene_covid19_inf_pre2.pdf
[daily]: https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_120_COVID-19.pdf