Geospatial joint modeling of vector and parasite serology to microstratify malaria transmission.

ABSTRACT: The World Health Organization identifies a strong surveillance system for malaria and its mosquito vector as an essential pillar of the malaria elimination agenda. Anopheles salivary antibodies are emerging biomarkers of exposure to mosquito bites that potentially overcome sensitivity and logistical constraints of traditional entomological surveys. Using samples collected by a village health volunteer network in 104 villages in Southeast Myanmar during routine surveillance, the present study employs a Bayesian geostatistical modeling framework, incorporating climatic and environmental variables together with Anopheles salivary antigen serology, to generate spatially continuous predictive maps of Anopheles biting exposure. Our maps quantify fine-scale spatial and tempor

SUBMITTER: Kearney EA 

PROVIDER: S-EPMC11181033 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature