Lessons learned from the COVID-19 pandemic: a statistician's reflection

DOI10.1214/22-STS860OpenAlexW4280638420WikidataQ119883229 ScholiaQ119883229MaRDI QIDQ2143955

Xihong Lin

Publication date: 31 May 2022

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/22-sts860

zbMATH Keywords

data analysisepidemic modelingCOVID-19 researchdata collection and accessimplementation sciencemedia and public communicationopen science

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Data science in a time of crisis: lessons from the pandemic

Uses Software

• COVID-19 Spread Mapper

Cites Work

• Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data
• Statistical Models for COVID-19 Incidence, Cumulative Prevalence, and R t

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