cov-ind-19
houses code, data, and other products of from the COV-IND-19 Study Group aimed at describing and projecting the COVID-19 outbreak in India along with potential intervenntions.
Non-India data source: Johns Hopkins University, CSSE
India data source: covid19india.org
eSIR
: https://github.com/lilywang1988/eSIR
COVI-IND-19 R
Shiny app
- COV-IND-19 Report (direct download link, check your downloads folder) - 20 March 2020
- Medium article - 21 March 2020
- Reuters: India faces spike in coronavirus cases, says study, in test for health system - 23 March 2020
The COV-IND-19 Study Group is comprised of:
- Debashree Ray - Departments of Epidemiology and Biostatistics, Johns Hopkins University
- Rupam Bhattacharyya - Department of Biostatistics, University of Michigan
- Lili Wang - Department of Biostatistics, University of Michigan
- Maxwell Salvatore - Departments of Biostatistics and Epidemiology and Center for Precision Health Data Science, University of Michigan
- Dan Barker - Department of Biostatistics, University of Michigan
- Alexander Rix - Department of Biostatistics and Center for Precision Health Data Science, University of Michigan
- Michael Kleinsasser - Departments of Biostatistics and Health Behavior and Health Education, University of Michigan
- Shariq Mohammed - Departments of Biostatistics and Computational Medicine and Bioinformatics, University of Michigan
- Aritra Halder - Department of Statistics, University of Connecticut
- Yiwang Zhou - Department of Biostatistics, University of Michigan
- Peter Song - Department of Biostatistics, University of Michigan
- Soumik Purkayastha - Department of Biostatistics, University of Michigan
- Debraj Bose - Department of Biostatistics, University of Michigan
- Mousumi Banerjee - Department of Biostatistics and Institute of Health Policy and Innovation, University of Michigan
- Veera Baladandayuthapani - Department of Biostatistics, University of Michigan
- Parikshit Ghosh - Delhi School of Economics
- Bhramar Mukherjee - Departments of Biostatistics and Epidemiology and Center for Precision Health Data Science, University of Michigan