Identification of malaria hotspots in southwestern Benin through spatial joint modelling of malaria incidence and vector abundance.

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Bibliographic Details
Title: Identification of malaria hotspots in southwestern Benin through spatial joint modelling of malaria incidence and vector abundance.
Authors: Monteiro GM; African Institute for Mathematical Sciences Research and Innovation Centre, Kigali, Rwanda. gmonteiro@aimsric.org.; Tropical Infectious Diseases Research Centre, University of Abomey-Calavi, Cotonou, Benin. gmonteiro@aimsric.org.; Lancaster Ecology and Epidemiology Group, Lancaster University, Lancaster, UK. gmonteiro@aimsric.org., Aïkpon RY; National Malaria Control Program, Ministry of Health, Cotonou, Benin., Dandonougbo C; National Malaria Control Program, Ministry of Health, Cotonou, Benin., Sedda L; Tropical Infectious Diseases Research Centre, University of Abomey-Calavi, Cotonou, Benin. l.sedda@lancaster.ac.uk.; Lancaster Ecology and Epidemiology Group, Lancaster University, Lancaster, UK. l.sedda@lancaster.ac.uk., Djogbenou LS; Tropical Infectious Diseases Research Centre, University of Abomey-Calavi, Cotonou, Benin.; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Source: Malaria journal [Malar J] 2026 Apr 04; Vol. 25 (1). Date of Electronic Publication: 2026 Apr 04.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101139802 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-2875 (Electronic) Linking ISSN: 14752875 NLM ISO Abbreviation: Malar J Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1475-2875
DOI:10.1186/s12936-026-05891-3