4.7 Article

Integrating Parasitological and Entomological Observations to Understand Malaria Transmission in Riverine Villages in the Peruvian Amazon

Journal

JOURNAL OF INFECTIOUS DISEASES
Volume 223, Issue -, Pages S99-S110

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/infdis/jiaa496

Keywords

malaria; transmission; heterogeneity; Amazon; incidence; prevalence; human biting rate; entomological inoculation rate; Peru

Funding

  1. Consejo Nacional de Ciencia, Tecnologia e Innovacion Tecnologica [008-2014-FONDECYT]
  2. Academie de Recherche et d'Enseignement Superieur-Commission de la Cooperation au Developpement of Belgium [PRD-Peru 2014-2019]
  3. World Health Organization Special Programme for Research and Training in Tropical Diseases [201460655]
  4. National Institutes of Health, National Institute of Allergy and Infectious Diseases [U19AI089681, R01AI110112]

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The study provided an in-depth characterization of malaria transmission dynamics in remote riverine villages in the Peruvian Amazon, revealing high heterogeneity in malaria transmission both across and within villages. Factors such as housing structure and human behavior were found to be associated with malaria cases, with villages in the basin of the Mazan River being more susceptible to malaria transmission.
Background. Remote rural riverine villages account for most of the reported malaria cases in the Peruvian Amazon. As transmission decreases due to intensive standard control efforts, malaria strategies in these villages will need to be more focused and adapted to local epidemiology. Methods. By integrating parasitological, entomological, and environmental observations between January 2016 and June 2017, we provided an in-depth characterization of malaria transmission dynamics in 4 riverine villages of the Mazan district, Loreto department. Results. Despite variation across villages, malaria prevalence by polymerase chain reaction in March 2016 was high (>25% in 3 villages), caused by Plasmodium vivax mainly and composed of mostly submicroscopic infections. Housing without complete walls was the main malaria risk factor, while households close to forest edges were more commonly identified as spatial clusters of malaria prevalence. Villages in the basin of the Mazan River had a higher density of adult Anopheles darlingi mosquitoes, and retained higher prevalence and incidence rates compared to villages in the basin of the Napo River despite test-and-treat interventions. Conclusions. High heterogeneity in malaria transmission was found across and within riverine villages, resulting from interactions between the microgeographic landscape driving diverse conditions for vector development, housing structure, and human behavior.

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