Open Access
May 2022 Being a Public Health Statistician During a Global Pandemic
Bhramar Mukherjee
Author Affiliations +
Statist. Sci. 37(2): 270-277 (May 2022). DOI: 10.1214/22-STS859


In this perspective, I first share some key lessons learned from the experience of modeling the transmission dynamics of SARS-CoV-2 in India since the beginning of the COVID-19 pandemic in 2020. Second, I discuss some interesting open problems related to COVID-19 where statisticians have a lot to contribute to in the coming years. Finally, I emphasize the need for having integrated and resilient public health data systems: good data coupled with good models are at the heart of effective policymaking.

Funding Statement

The research was supported by NSF DMS 1712933, NIH R01 HG008773, and NIH P30 CA046592.


The author would like to thank Maxwell Salvatore for his assistance with compiling the references.


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Bhramar Mukherjee. "Being a Public Health Statistician During a Global Pandemic." Statist. Sci. 37 (2) 270 - 277, May 2022.


Published: May 2022
First available in Project Euclid: 16 May 2022

MathSciNet: MR4422309
zbMATH: 07535204
Digital Object Identifier: 10.1214/22-STS859

Keywords: COVID-19 pandemic , Epidemiological models , forecasting , public health data systems , research infrastructure , transmission dynamics , vaccine effectiveness

Rights: Copyright © 2022 Institute of Mathematical Statistics

Vol.37 • No. 2 • May 2022
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