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

Malaria Journal

Marcia C. Castro¹  Nicholas J. Arisco¹  Christopher D. Golden²  Benjamin L. Rice³  Hervet J. Randriamady⁴  Gauthier N. Emile⁴  Romain Girod⁵  Luciano M. Tantely⁵ 

[1] Department of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 329, 02115, Boston, MA, USA;Department of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 329, 02115, Boston, MA, 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;Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, USA;Madagascar Health and Environmental Research (MAHERY), Antananarivo, Madagascar;Medical Entomology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar;

关键词: Land use change;    Planetary health;    Disease ecology;    Vector-borne disease;    Malaria;   

DOI  :  10.1186/s12936-020-03423-1

来源: Springer

【 摘 要 】

BackgroundDeforestation 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.MethodsThe 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.ResultsThe 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.ConclusionsRisk 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.

【 授权许可】

CC BY