Bayesian Analysis of COVID-19 Origins
Bayesian Assessment of the Origins of COVID-19 using Spatiotemporal & Zoonotic Data
Wuhan Analysis
Folder Contents
1.1 Import map shapefiles.do
1.2 Import case data.do
2.1 Assign cases to gridcells.do
2.2 Identify cases in narrowcore Wuhan area.do
2.3 Compare case data with Worobey et al. (2022).do
3.1 Tabulate cases by population density.do
3.2 Tabulate gridcell distance to nearest case.do
3.3 Tabulate gridcell distances to linked vs. unlinked cases.do
3.4 Merge gridcell-case distances.do
4.1 Map key features of core Wuhan area.do
4.2 Map Hubei cases & population density.do
4.3 Map Wuhan cases & population density.do
5. Bayesian analysis of probit models.do
S1. Map Wuhan cases & metro lines.do
S2. MLE analysis of probit models.do
Subfolders
Temp
ShapeData
Figures
RawData
Maps
Datasets