Open Access
May 2022 Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection
Xihong Lin
Author Affiliations +
Statist. Sci. 37(2): 278-283 (May 2022). DOI: 10.1214/22-STS860


In this article, I will discuss my experience as a statistician involved in COVID-19 research in multiple capacities in the last two years, especially in the early phase of the pandemic. I will reflect on the challenges and the lessons I have learned in pandemic research regarding data collection and access, epidemic modeling and data analysis, open science and real time dissemination of research findings, implementation science, media and public communication, and partnerships between academia, government, industry and civil society. I will also make several recommendations on navigating the next stage of the pandemic and preparing for future pandemics.

Funding Statement

This work was supported by a grant from Harvard University.


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Xihong Lin. "Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection." Statist. Sci. 37 (2) 278 - 283, May 2022.


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

MathSciNet: MR4422310
zbMATH: 07535205
Digital Object Identifier: 10.1214/22-STS860

Keywords: COVID-19 research , data analysis , data collection and access , epidemic modeling , implementation science , media and public communication , open science

Rights: Copyright © 2022 Institute of Mathematical Statistics

Vol.37 • No. 2 • May 2022
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