Bayesian Analysis of COVID-19 Origins
Bayesian Assessment of the Origins of COVID-19 using Spatiotemporal & Zoonotic Data
Huanan Analysis
Folder Contents
1.0 Import shapedata.do
1.1 Import Huanan Market confirmed cases.do
1.2 Import environmental tests.do
1.3 Import raccoon dog readings.do
1.4 Import genomic sample data.do
2.1 Tabulate characteristics of market stalls.do
2.2 Tabulate incidence of cases by vendor type.do
2.3 Tabulate RT-qPCR tests by date & vendor.do
2.4 Tabulate BOLD data.do
2.5 Tabulate SARS-CoV-2 genomic data.do
3.1 Map first week of Huanan cases (13-20dec).do
3.2 Map second week of Huanan cases (21-31dec).do
3.3 Map number of environmental tests per shop.do
3.4 Map environmental tests vs. cases.do
4.1 Compute vendor distances to initial cases.do
4.2 Compute vendor distances to raccoon dogs.do
5.1 Analyze RT-qPCR tests & raccoon dog shops.do
5.2 Make scatterplot of RT-qPCR tests & distances to RD shops.do
5.3 Analyze spatiotemporal pattern of cases.do
5.4 Compare spatiotemporal Bayesian results.do
5.5 Map spatiotemporal Bayesian results.do
S1. Tabulate NCBI data.do
S2. Compute vendor distances to primary raccoon dog shop.do
S3. Analyze RT-qPCR tests & primary RD shop.do
S4. Make scatterplot of RT-qPCR tests & distance to primary RD shop.do
Subfolders
Temp
Shapedata
Estimates
Figures
RawData
Maps
Datasets