This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2450) Mass Media/Social Media Communication and Campaigns (461) Peer-to-Peer Support and Online Communities (633) Innovative Methods in Public Health and Surveillance (329) Cross-Sectional Studies in Public Health (275) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1639) Infectious Diseases (non-STD/STI) (1567)

Published on in Vol 7, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33617, first published .
Utility of Facebook’s Social Connectedness Index in Modeling COVID-19 Spread: Exponential Random Graph Modeling Study

Utility of Facebook’s Social Connectedness Index in Modeling COVID-19 Spread: Exponential Random Graph Modeling Study

Utility of Facebook’s Social Connectedness Index in Modeling COVID-19 Spread: Exponential Random Graph Modeling Study

Authors of this article:

Beth Prusaczyk1, 2 Author Orcid Image ;   Kathryn Pietka3 Author Orcid Image ;   Joshua M Landman1, 4 Author Orcid Image ;   Douglas A Luke5 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Beth Prusaczyk   1, 2 , MSW, PhD ;   Kathryn Pietka   3 ;   Joshua M Landman   1, 4 , MS ;   Douglas A Luke   5 , PhD

1 Center for Population Health Informatics, Institute for Informatics, Washington University School of Medicine in St. Louis, Saint Louis, MO, United States

2 Department of Medicine, Washington University School of Medicine in St. Louis, Saint Louis, MO, United States

3 Truman State University, Kirksville, MO, United States

4 Division of Computational and Data Sciences, Washington University in St. Louis, Saint Louis, MO, United States

5 Center for Public Health Systems Science, Brown School, Washington University in St. Louis, Saint Louis, MO, United States

Corresponding Author:

  • Beth Prusaczyk, MSW, PhD
  • Center for Population Health Informatics
  • Institute for Informatics
  • Washington University School of Medicine in St. Louis
  • 660 S. Euclid Avenue
  • Saint Louis, MO, 63110
  • United States
  • Phone: 1 314-330-0537
  • Email: beth.prusaczyk@wustl.edu