Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26081, first published .
Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis

Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis

Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis

Theresa B Oehmke   1 , MSc ;   Lori A Post   2 , PhD ;   Charles B Moss   3 , PhD ;   Tariq Z Issa   4 , BA ;   Michael J Boctor   4 , BSc ;   Sarah B Welch   2 , MPH ;   James F Oehmke   2 , PhD

1 Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, United States

2 Department of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States

3 Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, United States

4 Feinberg School of Medicine, Northwestern University, Chicago, IL, United States

Corresponding Author:

  • Theresa B Oehmke, MSc
  • Department of Civil and Environmental Engineering
  • University of California, Berkeley
  • 202 O'Brien Hall
  • Berkeley, CA, 94720
  • United States
  • Phone: 1 5108986406
  • Email: toehmke@berkeley.edu