Geospatial clustering reveals dengue hotspots across Brazilian municipalities, 2024
This study demonstrates that integrating spatial, temporal, and climatic dimensions into a DBSCAN framework provides a reproducible method for delineating dengue hotspots at the municipal scale. By distinguising high-intensity clusters from low-burden areas, the approach offers and operationally relevant tool for guiding vector control and outbreak response during dengue epidemics in Brazil.
Authors
- Danyelly Bruneska Gondim Martins (ORCID: https://orcid.org/0000-0002-6005-7864)
- Brena F. Sena (ORCID: https://orcid.org/0000-0002-8894-5169)
- Bobby Brooke Herrera (ORCID: https://orcid.org/0000-0002-2438-6716)
- José Luiz Lima Filho
Institutions
- Rutgers, The State University of New Jersey (US)
- Universidade Federal de Pernambuco (BR)
- Johnson University (US)
- Rutgers Sexual and Reproductive Health and Rights (NL)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-10-27
- DOI
- https://doi.org/10.3389/fpubh.2025.1620914
- Primary Topic
- Mosquito-borne diseases and control
- Type
- article
- Field-Weighted Citation Impact
- 0.00