Journal article
Geospatial joint modeling of vector and parasite serology to microstratify malaria transmission
EA Kearney, P Amratia, SY Kang, PA Agius, KA Alene, K O’Flaherty, WH Oo, JC Cutts, W Htike, D Da Silva Goncalves, Z Razook, AE Barry, D Drew, A Thi, KZ Aung, HK Thu, MM Thein, NN Zaw, WYM Htay, AP Soe Show all
Proceedings of the National Academy of Sciences of the United States of America | NATL ACAD SCIENCES | Published : 2024
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 map..
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Grants
Awarded by National Health and Medical Research Council
Funding Acknowledgements
ACKNOWLEDGMENTS. We would like to thank the local communities and vil-lage health volunteers fortheir participation in the research; Karuna Mission Social