Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar.

Autor: Arisco NJ; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 329, Boston, MA, 02115, USA. narisco@g.harvard.edu., Rice BL; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, USA., Tantely LM; Medical Entomology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar., Girod R; Medical Entomology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar., Emile GN; Madagascar Health and Environmental Research (MAHERY), Antananarivo, Madagascar., Randriamady HJ; Madagascar Health and Environmental Research (MAHERY), Antananarivo, Madagascar., Castro MC; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 329, Boston, MA, 02115, USA., Golden CD; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 329, Boston, MA, 02115, USA.; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA.; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA.
Jazyk: angličtina
Zdroj: Malaria journal [Malar J] 2020 Sep 29; Vol. 19 (1), pp. 348. Date of Electronic Publication: 2020 Sep 29.
DOI: 10.1186/s12936-020-03423-1
Abstrakt: Background: Deforestation and land use change is widespread in Madagascar, altering local ecosystems and creating opportunities for disease vectors, such as the Anopheles mosquito, to proliferate and more easily reach vulnerable, rural populations. Knowledge of risk factors associated with malaria infections is growing globally, but these associations remain understudied across Madagascar's diverse ecosystems experiencing rapid environmental change. This study aims to uncover socioeconomic, demographic, and ecological risk factors for malaria infection across regions through analysis of a large, cross-sectional dataset.
Methods: The objectives were to assess (1) the ecological correlates of malaria vector breeding through larval surveys, and (2) the socioeconomic, demographic, and ecological risk factors for malaria infection in four ecologically distinct regions of rural Madagascar. Risk factors were determined using multilevel models for the four regions included in the study.
Results: The presence of aquatic agriculture (both within and surrounding communities) is the strongest predictive factor of habitats containing Anopheles larvae across all regions. Ecological and socioeconomic risk factors for malaria infection vary dramatically across study regions and range in their complexity.
Conclusions: Risk factors for malaria transmission differ dramatically across regions of Madagascar. These results may help stratifying current malaria control efforts in Madagascar beyond the scope of existing interventions.
Databáze: MEDLINE
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