Please check out my post where I processed Facebook population density map and make them computable datasets in Wolfram Language. It can be very useful for epidemic models using population densities.
I've wrangled the Google mobility data of USA and Canada
This note gave me a warm fuzzy for sure! I don't have an immediate need, but it speaks to practical purposes for useful ends. Thank you! Brian W
You might want to look at these posts:
Logistic Model for Quarantine Controlled Epidemics
Predicting Coronavirus Epidemic in United States
For United States data two nice sources are https://covidtracking.com/ and the NY Times git hub repo here: https://github.com/nytimes/covid-19-data. With some help I created resource functions for importing the latest data from each of them. They were both published in the Wolfram Function Repository today.
https://resources.wolframcloud.com/FunctionRepository/resources/COVIDTrackingData https://resources.wolframcloud.com/FunctionRepository/resources/NYTimesCOVID19Data
See the documentation pages above for examples on how to use them.
Unlike data repository entries where data is periodically updated but always good, these function repository entries are dependent on evolving third party services, so they could break. But they always grab the latest data from those services.
