update README
This commit is contained in:
@@ -11,8 +11,14 @@ This repository contains code to:
|
||||
|
||||
The script [apply_ifr.py](apply_ifr.py) uses a handful of age-stratified
|
||||
IFR estimates and applies them to countries' population pyramids, to
|
||||
find their overall IFR assuming equal prevalence of the disease among all
|
||||
age groups. IFR estimates come from:
|
||||
find their expected overall IFR assuming equal prevalence of the disease among all
|
||||
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. [US CDC](https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html) (table 1)
|
||||
|
||||
Reference in New Issue
Block a user