Geospatial joint modeling of vector and parasite serology to microstratify malaria transmission.
Autor: | Kearney EA; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia.; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia., Amratia P; Malaria Atlas Project, Telethon Kids Institute, Perth, WA 6009, Australia., Kang SY; Malaria Atlas Project, Telethon Kids Institute, Perth, WA 6009, Australia., Agius PA; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia.; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia.; Biostatistics Unit, Faculty of Health, Deakin University, Melbourne, VIC 3125, Australia., Alene KA; Malaria Atlas Project, Telethon Kids Institute, Perth, WA 6009, Australia.; Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia., O'Flaherty K; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia., Oo WH; Health Security and Malaria Program, Burnet Institute Myanmar, Yangon 11201, Myanmar., Cutts JC; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia.; Department of Medicine at the Doherty Institute, The University of Melbourne, Melbourne, VIC 3000, Australia., Htike W; Health Security and Malaria Program, Burnet Institute Myanmar, Yangon 11201, Myanmar., Da Silva Goncalves D; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia., Razook Z; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia.; Institute for Physical and Mental Health and Clinical Translation, School of Medicine, Deakin University, Geelong, VIC 3216, Australia., Barry AE; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia.; Institute for Physical and Mental Health and Clinical Translation, School of Medicine, Deakin University, Geelong, VIC 3216, Australia., Drew D; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia., Thi A; Department of Public Health, Myanmar Ministry of Health and Sports, Nay Pyi Taw 15011, Myanmar., Aung KZ; Health Security and Malaria Program, Burnet Institute Myanmar, Yangon 11201, Myanmar., Thu HK; Health Security and Malaria Program, Burnet Institute Myanmar, Yangon 11201, Myanmar., Thein MM; Health Security and Malaria Program, Burnet Institute Myanmar, Yangon 11201, Myanmar., Zaw NN; Health Security and Malaria Program, Burnet Institute Myanmar, Yangon 11201, Myanmar., Htay WYM; Health Security and Malaria Program, Burnet Institute Myanmar, Yangon 11201, Myanmar., Soe AP; Health Security and Malaria Program, Burnet Institute Myanmar, Yangon 11201, Myanmar., Beeson JG; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia.; Department of Infectious Diseases, The University of Melbourne, Melbourne, VIC 3000, Australia.; Department of Microbiology, Monash University, Melbourne, VIC 3800, Australia.; Central Clinical School, Monash University, Melbourne, VIC 3004, Australia., Simpson JA; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia., Gething PW; Malaria Atlas Project, Telethon Kids Institute, Perth, WA 6009, Australia.; Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia., Cameron E; Malaria Atlas Project, Telethon Kids Institute, Perth, WA 6009, Australia.; Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia., Fowkes FJI; Disease Elimination Program, Burnet Institute, Melbourne, VIC 3004, Australia.; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia.; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia. |
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Jazyk: | angličtina |
Zdroj: | Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2024 Jun 11; Vol. 121 (24), pp. e2320898121. Date of Electronic Publication: 2024 Jun 04. |
DOI: | 10.1073/pnas.2320898121 |
Abstrakt: | 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 temporal heterogeneity in Anopheles salivary antibody seroprevalence (ranging from 9 to 99%) that serves as a proxy of exposure to Anopheles bites and advances current static maps of only Anopheles occurrence. We also developed an innovative framework to perform surveillance of malaria transmission. By incorporating antibodies against the vector and the transmissible form of malaria (sporozoite) in a joint Bayesian geostatistical model, we predict several foci of ongoing transmission. In our study, we demonstrate that antibodies specific for Anopheles salivary and sporozoite antigens are a logistically feasible metric with which to quantify and characterize heterogeneity in exposure to vector bites and malaria transmission. These approaches could readily be scaled up into existing village health volunteer surveillance networks to identify foci of residual malaria transmission, which could be targeted with supplementary interventions to accelerate progress toward elimination. Competing Interests: Competing interests statement:The authors declare no competing interest. |
Databáze: | MEDLINE |
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