Estimating Hidden Epidemic: A Bayesian Spatiotemporal Compartmental Modeling Approach
- Che-Yi Liao ,
Che-Yi Liao
[email protected]https://orcid.org/0000-0003-4156-0912
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
- Peiliang Bai ,
Peiliang Bai
[email protected]https://orcid.org/0000-0002-2669-7622
Microsoft, New York, New York 10036
- Lance A. Waller ,
Lance A. Waller
[email protected]https://orcid.org/0000-0001-5002-8886
Department of Biostatistics & Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322
- Kamran Paynabar
Corresponding Author
Kamran Paynabar
[email protected]https://orcid.org/0000-0002-6906-3611
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
Che-Yi Liao
[email protected]https://orcid.org/0000-0003-4156-0912
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
Peiliang Bai
[email protected]https://orcid.org/0000-0002-2669-7622
Microsoft, New York, New York 10036
Lance A. Waller
[email protected]https://orcid.org/0000-0001-5002-8886
Department of Biostatistics & Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322
Corresponding Author
Kamran Paynabar
[email protected]https://orcid.org/0000-0002-6906-3611
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332

