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

rewording

Browse Source
This commit is contained in:
Marc Bevand
2020-06-16 16:24:18 -07:00
parent 46e745fd4d
commit d0b24b53f8
1 changed files with 4 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+4 -3
View File
@@ -86,9 +86,10 @@ $ ./calc_ifr.py
IFR on target country assuming disease prevalence equal among ages: 0.658%
```
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.
However the average IFR is highly dependent on factors other than age: varying
prevalence among age brackets, underlying health conditions, access to
healthcare, socioeconomic status, ethnicity, 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