The project is about using COVID-19 data to help guide decision making. More specifically, they want to identify patients from the symptoms they display. They use data collected globally from Facebook users.
I like about:
the size of the dataset and the abundance of information it contains
how you want to develop a "standardized, global way" to measure covid
you're already thinking about models that you may use to fit the data
I think it can be improved by:
taking into account bias of only collecting data from Facebook users
the data only spans a short period of time from April 6 to May 1, 2020, how would you respond to symptoms changing as variants develop?
similarly, how would you address the different symptoms displayed in regions dominating by different variants?
The project is about using COVID-19 data to help guide decision making. More specifically, they want to identify patients from the symptoms they display. They use data collected globally from Facebook users.
I like about:
I think it can be improved by: