The tentative title for my project is:
Investigating Religion and Poverty as They Relate to the Spread of Covid-19
There is a wealth of data online now regarding the number of Covid-19 cases in different regions of the world. Many of these datasets and accompanying analyses look at variables like population density and number of hospital beds in order to predict coronavirus case counts and death counts. I’d like to examine less commonly examined variables like religion and poverty and see if there are some potential correlations with spread (as measured by relative case counts) of Sars-Cov-2.
I hypothesize that both variables have some correlation with large gatherings of people and therefore could be tied to increased spread of coronavirus. For instance, more religious areas may have more gatherings due to church attendance while more poverty-stricken areas may hae more people rooming together to afford housing, and both could conceivably play a role in the spread of Sars-Cov-2. For that reason, I want to see if there are any correlations between these two variables and coronavirus case counts. I’d also like to see if these variables have any potential moderating effects on each other.
I think that finding potentially interesting correlations between these variables and the spread of Sars-Cov-2/coronavirus could help lay the groundwork for better understanding of how diseases like coronavirus spread throughout populations.
CriticallyCoding 