COV-IND-19 Study Group

Description 📣

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 interventions. Data generated for use in the app can be found in the data repository.

Data Sources 🧮

Non-India data source: Johns Hopkins University, CSSE

India data source: covid19india.org

Relevant R packages 📦

• eSIR: https://github.com/lilywang1988/eSIR
• SEIRfansy: https://github.com/umich-biostatistics/SEIRfansy

Output 🛠️

• COV-IND-19 R Shiny app: covind19.org

Publications and news articles 📰

• On the resurgence of COVID-19 in India: Salvatore et al. 2021
• Estimating COVID-19 related mortality in India: Zimmermann et al. 2021
• Incorporating false-negative tests into COVID-19 models: Bhattacharyya et al. 2021
• Read our forecasting and lockdown effects study: Ray et al. 2020
• Read our nation vs state-level trends paper: Salvatore et al. 2020
• Comparing 5 COVID-19 models in India: Purkayastha et al. 2020
• Extending SEIR model for imperfect testing: Bhaduri et al. 2020
• View webinar slides (direct download link, check your downloads folder) - 22 May 2020
• Read our Medium trilogy: pre-lockdown (March 21, 2020), studying lockdown (April 3, 2020), and unlocking the lockdown (April 24, 2020); all Medium articles
• COV-IND-19 Report (direct download link, check 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

Acknowledgments 🙏

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