Abstract
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.
Acknowledgments
The author would like to thank Maxwell Salvatore for his assistance with compiling the references.
Citation
Bhramar Mukherjee. "Being a Public Health Statistician During a Global Pandemic." Statist. Sci. 37 (2) 270 - 277, May 2022. https://doi.org/10.1214/22-STS859
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