Comparing malaria risk exposure in rural Cambodia population using GPS tracking and questionnaires

Abstract Background The Great Mekong Subregion has attained a major decline in malaria cases and fatalities over the last years, but residual transmission hotspots remain, supposedly fueled by forest workers and migrant populations. This study aimed to: (i) characterize the fine-scale mobility of fo...

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Bibliographic Details
Published in:Malaria Journal
Main Authors: Anaïs Pepey, Marc Souris, Saorin Kim, Thomas Obadia, Sophy Chy, Malen Ea, Sivkeng Ouk, Franck Remoue, Siv Sovannaroth, Ivo Mueller, Benoit Witkowski, Amélie Vantaux
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2024
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Online Access:https://doi.org/10.1186/s12936-024-04890-6
https://doaj.org/article/480efc3fce4f4777af47e15943490d50
Description
Summary:Abstract Background The Great Mekong Subregion has attained a major decline in malaria cases and fatalities over the last years, but residual transmission hotspots remain, supposedly fueled by forest workers and migrant populations. This study aimed to: (i) characterize the fine-scale mobility of forest-goers and understand links between their daily movement patterns and malaria transmission, using parasites detection via real time polymerase chain reaction (RT PCR) and the individual exposure to Anopheles bites by quantification of anti-Anopheles saliva antibodies via enzyme-linked immunosorbent assay; (ii) assess the concordance of questionnaires and Global Positioning System (GPS) data loggers for measuring mobility. Methods Two 28 day follow-ups during dry and rainy seasons, including a GPS tracking, questionnaires and health examinations, were performed on male forest goers representing the population at highest risk of infection. Their time spent in different land use categories and demographic data were analyzed in order to understand the risk factors driving malaria in the study area. Results Malaria risk varied with village forest cover and at a resolution of only a few kilometers: participants from villages outside the forest had the highest malaria prevalence compared to participants from forest fringe’s villages. The time spent in a specific environment did not modulate the risk of malaria, in particular the time spent in forest was not associated with a higher probability to detect malaria among forest-goers. The levels of antibody response to Anopheles salivary peptide among participants were significantly higher during the rainy season, in accordance with Anopheles mosquito density variation, but was not affected by sociodemographic and mobility factors. The agreement between GPS and self-reported data was only 61.9% in reporting each kind of visited environment. Conclusions In a context of residual malaria transmission which was mainly depicted by P. vivax asymptomatic infections, the ...