Spatial prediction of immunity gaps during a pandemic to inform decision making: A geostatistical case study of <scp>COVID</scp>‐19 in Dominican Republic
A geostatistical model that integrates contextually important socioeconomic and environmental factors can be used to create robust and reliable predictive maps of immune protection during a pandemic at high spatial resolution and will assist in the identification of highly vulnerable areas.
Authors
- Cecilia Then Paulino
- Petr Jarolı́m (ORCID: https://orcid.org/0000-0002-9612-8652)
- William Duke
- Gabriela Abdalla
- Salomé Garnier (ORCID: https://orcid.org/0000-0003-3802-115X)
- Timothy Oasan
- Benn K. D. Sartorius (ORCID: https://orcid.org/0000-0001-6761-2325)
- Devan Dumas (ORCID: https://orcid.org/0000-0002-2355-3586)
- Emily Zielinski Gutiérrez
- Beatris Mário Martin (ORCID: https://orcid.org/0000-0002-8264-0153)
- Lucia de la Cruz
- Helen J. Mayfield (ORCID: https://orcid.org/0000-0003-3462-4324)
- Colleen L. Lau (ORCID: https://orcid.org/0000-0001-8288-4169)
- Farah Peña (ORCID: https://orcid.org/0000-0001-7308-6552)
- Michael de St. Aubin (ORCID: https://orcid.org/0000-0003-4833-6200)
- Margaret Baldwin (ORCID: https://orcid.org/0000-0002-3594-4330)
- Bernarda Henríquez
- Eric James Nilles (ORCID: https://orcid.org/0000-0001-7044-5257)
- Angela Cadavid Restrepo (ORCID: https://orcid.org/0000-0003-0359-9410)
- Adam J. Kucharski (ORCID: https://orcid.org/0000-0001-8814-9421)
- Beatriz López (ORCID: https://orcid.org/0000-0003-1353-9948)
- Marie Caroline Etienne
- Ronald Skewes Ramm
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Universidad Autónoma de Santo Domingo (DO)
- Queensland University of Technology (AU)
- The University of Queensland (AU)
- London School of Hygiene & Tropical Medicine (GB)
- Centers for Disease Control and Prevention (UG)
- Universidad Nacional Pedro Henríquez Ureña (DO)
- Dana-Farber/Harvard Cancer Center (US)
Publication Details
- Journal
- Tropical Medicine & International Health
- Published
- 2025-03-12
- DOI
- https://doi.org/10.1111/tmi.14094
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00