Skip to content

On a crusade to find county-level indicators to potentially predict COVID19 infection and death rates.

License

Notifications You must be signed in to change notification settings

ryanku98/COVID19_county_level_predictors

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

COVID19_county_level_predictors

On a crusade to find county-level factors as potential indicators to predict COVID19 infection and death rates.

Limitations

Old Census Data

Data specifically from the USCensus is quite out of date, with the latest data reported in 2010:

  • Land data: 2010 survey
  • Water data: 2000 survey
  • Housing data: 2005-2009
  • Age data: 2009 estimates based on 2000 census
  • Race data: 2010 census

COVID19 Case Reporting

Reporting guidelines for COVID19 are few and far between. Reporting by certain states can be unreliable at best and inaccurate at worst. Because of these inconsistencies, the data will be stratified by state to keep the reporting guidelines as consistent as possible.

NYTimes Data Formatting/Collection

NYTimes seems to consolidate certain data for unknown reasons. The main example of this is combining the 5 NYC counties (Bronx, Kings, NY, Queens, Richmond) into one collection of data. Normally I would just remove this irregularity, but as we all know, NYC was the worst off by far in the world, and any insight that this data could possibly provide could be crucial. As such, I simply had to combine the data for the 5 counties into one (generally speaking, summing the absolute data columns and averaging the percentage data columns).

About

On a crusade to find county-level indicators to potentially predict COVID19 infection and death rates.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published