How politics affect pandemic forecasting: spatio-temporal early warning capabilities of different geo-social media topics in the context of state-level political leaning
Our results highlight the need for a dynamic spatially targeted approach that accounts for both how regional geosocial media topics of interest change over time and the impact of local political ideology on their epidemiological early warning capabilities.
Authors
- Bernd Resch (ORCID: https://orcid.org/0000-0002-2233-6926)
- Ivonne Morales (ORCID: https://orcid.org/0000-0001-6803-9284)
- Thomas Jaenisch (ORCID: https://orcid.org/0000-0002-9464-571X)
- Dorian Arifi (ORCID: https://orcid.org/0000-0002-4834-7893)
- Steffen Knoblauch (ORCID: https://orcid.org/0000-0003-3077-8094)
- Mauricio Santillana (ORCID: https://orcid.org/0000-0002-4206-418X)
- Sven Lautenbach (ORCID: https://orcid.org/0000-0003-1825-9996)
Institutions
- Northeastern University (US)
- Harvard University (US)
- Colorado School of Public Health (US)
- University of Salzburg (AT)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- Heidelberg University of Education (DE)
- Fachhochschule Salzburg (AT)
- Stiftung Rehabilitation Heidelberg (Germany) (DE)
- Pädagogische Hochschule Salzburg (AT)
- GeoInformation (United Kingdom) (GB)
- Center for Policy Analysis (US)
- Interdisciplinary Transformation University Austria (AT)
- Heidelberg University (US)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-07-01
- DOI
- https://doi.org/10.3389/fpubh.2025.1618347
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Austrian Science Fund
- Centers for Disease Control and Prevention
- National Institute of General Medical Sciences