Relative contribution of low-density and asymptomatic infections to Plasmodium vivax transmission in the Amazon: pooled analysis of individual participant data from population-based cross-sectional surveys
Year: 2022
Type: article
Abstract: Background: infections remain largely undetected and untreated and may contribute significantly to malaria transmission in the Amazon. Methods: infections and examined how parasite density relates to clinical manifestations and mosquito infection in Amazonian settings. Findings: transmission, while asymptomatic carriers are the source of 28·2% to 79·2% of mosquito infections. Interpretation: carriers constitute a vast infectious reservoir that, if targeted by malaria elimination strategies, could substantially reduce malaria transmission in the Amazon. Infected children may remain asymptomatic despite high parasite densities that elicit clinical manifestations in adults. Funding: US National Institutes of Health, Fundação de Amparo à Pesquisa do Estado de São Paulo, and Belgium Development Cooperation.
Institutions: University of Lisbon, Universidade de São Paulo, Universidade Nova de Lisboa, Instituut voor Tropische Geneeskunde, London School of Hygiene & Tropical Medicine, UCLouvain, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, New York State Department of Health, State University of New York, Wadsworth Center, University at Albany, State University of New York, Universidad Peruana Cayetano Heredia, Instituto de Medicina Tropical Alexander von Humboldt, Yale University
Language: English
Topic: Malaria Research and Control
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,000
Awards: Prospects for residual malaria elimination in rural Brazilian Amazon: targeting Plasmodium vivax reservoir hosts, G295657101, Amazonian Center of Excellence in Malaria Research, Scientific bases for residual malaria elimination in the Brazilian Amazon, The clinically silent Plasmodium vivax reservoir in the Amazon: a systematic review and pooled analysis of individual-level data from population-based surveys
OpenAlex ID: W4205925671
