COVID-19 Surveillance Data: A Primer for Epidemiology and Data Science

Am J Public Health. 2021 Apr;111(4):614-619. doi: 10.2105/AJPH.2020.306088. Epub 2021 Jan 21.

Authors

Daniel Tarantola^{1

2}, Nabarun Dasgupta^{1

2}

Affiliations

¹ Daniel Tarantola is with the Institute on Inequalities in Global Health, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles. Nabarun Dasgupta is with the Gillings School of Global Public Health, University of North Carolina at Chapel Hill. Both authors are AJPH associate editors.
² Note. The guidance presented in this editorial does not constitute formal recommendations of AJPH.

No abstract available

Publication types

Editorial

MeSH terms

COVID-19 / epidemiology*
Data Science*
Epidemiology*
Humans
Policy Making
Population Surveillance*
Public Health