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

Anaïs Pepey (1) , Marc Souris (2) , Saorin Kim (1) , Thomas Obadia (3, 4) , Sophy Chy (1) , Malen Ea (1) , Sivkeng Ouk (1) , Franck Remoue (5) , Siv Sovannaroth (6) , Ivo Mueller (7, 8) , Benoit Witkowski (1, 9) , Amélie Vantaux (1, 9)

1 Institut Pasteur du Cambodge
2 UVE - Unité des Virus Emergents
3 Epidémiologie et Analyse des Maladies Infectieuses - Infectious Disease Epidemiology and Analytics
4 Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB
5 MIVEGEC - Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle
6 CNM - National Center for Parasitology, Entomology and Malaria Control [Phnom Penh, Cambodia]
7 WEHI - The Walter and Eliza Hall Institute of Medical Research
8 University of Melbourne
9 Institut Pasteur de Madagascar

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 implementation of questionnaires, GPS data-loggers and quantification of anti-saliva Anopheles antibodies on the high-risk group were not powerful enough to detect malaria risk factors associated with different mobility behaviours or time spent in various environments. The joint implementation of GPS trackers and questionnaires allowed to highlight the limitations of both methodologies and the benefits of using them together. New detection and follow-up strategies are still called for.

Mots clés: Cambodia; GPS data loggers; Mobility; Anti-Anopheles saliva antibodies; Land use; Malaria; Transmission

Domaines: Sciences du Vivant [q-bio]

Anaïs Pepey, Marc Souris, Saorin Kim, Thomas Obadia, Sophy Chy, et al.. Comparing malaria risk exposure in rural Cambodia population using GPS tracking and questionnaires. Malaria Journal, 2024, 23 (1), pp.75. ⟨10.1186/s12936-024-04890-6⟩. ⟨pasteur-04525073⟩