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

update README

Browse Source
This commit is contained in:
Marc Bevand
2020-09-27 13:43:03 -07:00
parent 90e9938787
commit b83888905e
1 changed files with 8 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+8 -2
View File
@@ -11,8 +11,14 @@ This repository contains code to:
The script [apply_ifr.py](apply_ifr.py) uses a handful of age-stratified The script [apply_ifr.py](apply_ifr.py) uses a handful of age-stratified
IFR estimates and applies them to countries' population pyramids, to IFR estimates and applies them to countries' population pyramids, to
find their overall IFR assuming equal prevalence of the disease among all find their expected overall IFR assuming equal prevalence of the disease among all
age groups. IFR estimates come from: age groups.
Of course, the real-world overall IFR will dependent on many factors: varying
prevalence among age groups, underlying health conditions, access to
healthcare, socioeconomic status, ethnicity, etc.
IFR estimates come from:
1. ENE-COVID Spanish serosurvey (calculated by `calc_ifr.py`, see next section) 1. ENE-COVID Spanish serosurvey (calculated by `calc_ifr.py`, see next section)
1. [US CDC](https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html) (table 1) 1. [US CDC](https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html) (table 1)