The fuzzy system ensembles entomological, epidemiological, demographic and environmental data to unravel the dengue transmission risk in an endemic city
Our study demonstrated the ability of fuzzy logic to characterize the city's spatiotemporal heterogeneity in relation to areas at high risk of dengue transmission, suggesting it can be considered as part of an integrated surveillance system to support timely decision-making.
Authors
- Felipe de Oliveira Silva (ORCID: https://orcid.org/0000-0002-1457-0480)
- Açucena Veleh Rivas (ORCID: https://orcid.org/0000-0001-5960-101X)
- Samanta Cristina das Chagas Xavier (ORCID: https://orcid.org/0000-0002-3475-0075)
- Renata Defante Lopes (ORCID: https://orcid.org/0000-0002-2427-2743)
- Caroline Amaral Martins (ORCID: https://orcid.org/0000-0003-0649-8084)
- Rafael Maciel‐de‐Freitas (ORCID: https://orcid.org/0000-0002-2198-6492)
- André de Souza Leandro (ORCID: https://orcid.org/0000-0001-9983-9559)
- Marcello G. Teixeira (ORCID: https://orcid.org/0000-0002-6080-5834)
- Daniel Antunes Maciel Villela (ORCID: https://orcid.org/0000-0001-8371-2959)
- Isaac Silva (ORCID: https://orcid.org/0000-0003-2080-0200)
Institutions
- Universidade Federal do Rio de Janeiro (BR)
- Universidade Estadual de Londrina (BR)
- Universidade Federal da Integração Latino-Americana (BR)
- Instituto Federal do Rio de Janeiro (BR)
- Itaipu Binacional (BR)
- Secretaria Municipal de Saúde (BR)
- Fundação Oswaldo Cruz (BR)
- Bernhard Nocht Institute for Tropical Medicine (DE)
Publication Details
- Journal
- BMC Public Health
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1186/s12889-024-19942-4
- Citations
- 6
- Primary Topic
- Mosquito-borne diseases and control
- Type
- article
- Field-Weighted Citation Impact
- 3.26