Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58539, first published .
Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: Observational Study

Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: Observational Study

Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: Observational Study

Dorian Arifi   1, 2 , MSc ;   Bernd Resch   1, 2, 3 , Prof Dr ;   Mauricio Santillana   4, 5 , Prof Dr ;   Weihe Wendy Guan   3 , PhD ;   Steffen Knoblauch   6, 7, 8 , MSc ;   Sven Lautenbach   6, 8 , Prof Dr ;   Thomas Jaenisch   9, 10 , Prof Dr ;   Ivonne Morales   10, 11 , PhD ;   Clemens Havas   12 , Prof Dr

1 Department of Geoinformatics, University of Salzburg, Salzburg, Austria

2 Interdisciplinary Transformation University Austria, Linz, Austria

3 Center for Geographic Analysis (CGA), Harvard University, Cambridge, MA, United States

4 Machine Intelligence Group for the Betterment of Health and the Environment, Northeastern University, Boston, MA, United States

5 Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States

6 GIScience Research Group, Heidelberg University, Heidelberg, Germany

7 Interdisciplinary Centre of Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany

8 HeiGIT (Heidelberg Institute for Geoinformation Technology) GbmH, Heidelberg, Germany

9 Center for Global Health, Colorado School of Public Health, Aurora, CO, United States

10 Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany

11 Department of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany

12 Salzburg University of Applied Sciences, Puch/Salzburg, Austria

Corresponding Author: