%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Ya-Umphan, P.
%A Cerqueira, D.
%A Parker, D. M.
%A Cottrell, Gilles
%A Poinsignon, Anne
%A Remoué, Franck
%A Brengues, Cécile
%A Chareonviriyaphap, T.
%A Nosten, F.
%A Corbel, Vincent
%T Use of an Anopheles salivary biomarker to assess malaria transmission risk along the Thailand-Myanmar border
%D 2017
%L fdi:010069363
%G ENG
%J Journal of Infectious Diseases
%@ 0022-1899
%K Thailand-Myanmar border ; malaria vectors ; transmission ; human antibody ; response ; Salivary Biomarker ; gSG6-P1
%K THAILANDE ; MYANMAR
%M ISI:000397204700009
%N 3
%P 396-404
%R 10.1093/infdis/jiw543
%U https://www.documentation.ird.fr/hor/fdi:010069363
%> https://www.documentation.ird.fr/intranet/publi/2017/04/010069363.pdf
%V 215
%W Horizon (IRD)
%X Background. The modalities of malaria transmission along the Thailand-Myanmar border are poorly understood. Here we address the relevance of using a specific Anopheles salivary biomarker to measure the risk among humans of exposure to Anopheles bites. Methods. Serologic surveys were conducted from May 2013 to December 2014 in 4 sentinel villages. More than 9400 blood specimens were collected in filter papers from all inhabitants at baseline and then every 3 months thereafter, for up to 18 months, for analysis by enzyme-linked immunosorbent assay. The relationship between the intensity of the human antibody response and entomological indicators of transmission (human biting rates and entomological inoculation rates [EIRs]) was studied using a multivariate 3-level mixed model analysis. Heat maps for human immunoglobulin G (IgG) responses for each village and survey time point were created using QGIS 2.4. Results. The levels of IgG response among participants varied significantly according to village, season, and age (P <.001) and were positively associated with the abundance of total Anopheles species and primary malaria vectors and the EIR (P <.001). Spatial clusters of high-IgG responders were identified across space and time within study villages. Conclusions. The gSG6-P1 biomarker has great potential to address the risk of transmission along the Thailand-Myanmar border and represents a promising tool to guide malaria interventions.
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