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

Journals

  1. Resch B, Kolokoussis P, Hanny D, Brovelli M, Kamel Boulos M. The generative revolution: AI foundation models in geospatial health—applications, challenges and future research. International Journal of Health Geographics 2025;24(1) View
  2. Serere H, Resch B. Dynamic Named Entity Recognition model to distinguish authors’ positions relative to mentioned locations. Geomatica 2025;77(1):100055 View
  3. Arifi D, Resch B, Santillana M, Knoblauch S, Lautenbach S, Jaenisch T, Morales I. How politics affect pandemic forecasting: spatio-temporal early warning capabilities of different geo-social media topics in the context of state-level political leaning. Frontiers in Public Health 2025;13 View