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.

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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
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article

Spatial prediction of immunity gaps during a pandemic to inform decision making: A geostatistical case study of COVID‐19 in Dominican Republic

Cecilia Then Paulino, Petr Jarolı́m, William Duke, Gabriela Abdalla et al.
Tropical Medicine & International Health
COVID-19 epidemiological studies
article

Spatial prediction of immunity gaps during a pandemic to inform decision making: A geostatistical case study of COVID‐19 in Dominican Republic

Cecilia Then Paulino, Petr Jarolı́m, William Duke, Gabriela Abdalla, Salomé Garnier, Timothy Oasan, Benn K. D. Sartorius, Devan Dumas, Emily Zielinski Gutiérrez, Beatris Mário Martin, Lucia de la Cruz, Helen J. Mayfield, Colleen L. Lau, Farah Peña, Michael de St. Aubin, Margaret Baldwin, Bernarda Henríquez, Eric James Nilles, Angela Cadavid Restrepo, Adam J. Kucharski, Beatriz López, Marie Caroline Etienne, Ronald Skewes Ramm
article en

Abstract

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.

Tropical Medicine & International HealthVol. 30(5)
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)
Good health and well-being
Openalex Percentile: Top 95%
COVID-19 epidemiological studies
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