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 , US

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

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

4 Feinberg School of Medicine , Northwestern University , Chicago , IL , US

Corresponding Author:

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