Evidence map›Paper›PMID 41430278›Full record

ArticleMalaria journal2025

Epidemiological profile and environmental determinants of Plasmodium falciparum infection in villages surrounding the Soum Agropole, Burkina Faso.

Nathalie Ouare, Hermann Sorgho, Helle Hansson, Toussaint Rouamba, Hamidou Ilboudo, Karim Derra, Bérenger Kaboré, Marc Christian Tahita, Eli Rouamba, Michael Alifrangis and 3 more

Abstract read
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Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Nathalie OuareInstitut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro (IRSS-CRUN), Campus URCN, CMS 11, BP 18, Nanoro, Burkina Faso. ephiaouare@gmail.com.
Hermann SorghoInstitut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro (IRSS-CRUN), Campus URCN, CMS 11, BP 18, Nanoro, Burkina Faso.
Helle HanssonCentre for Translational Medicine and Parasitology, Institute for Immunology and Microbiology, University of Copenhagen and Department of Infectious Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
Toussaint RouambaInstitut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro (IRSS-CRUN), Campus URCN, CMS 11, BP 18, Nanoro, Burkina Faso.
Hamidou IlboudoInstitut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro (IRSS-CRUN), Campus URCN, CMS 11, BP 18, Nanoro, Burkina Faso.
Karim DerraInstitut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro (IRSS-CRUN), Campus URCN, CMS 11, BP 18, Nanoro, Burkina Faso.
Bérenger KaboréInstitut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro (IRSS-CRUN), Campus URCN, CMS 11, BP 18, Nanoro, Burkina Faso.
Marc Christian TahitaInstitut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro (IRSS-CRUN), Campus URCN, CMS 11, BP 18, Nanoro, Burkina Faso.
Eli RouambaInstitut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro (IRSS-CRUN), Campus URCN, CMS 11, BP 18, Nanoro, Burkina Faso.
Michael AlifrangisCentre for Translational Medicine and Parasitology, Institute for Immunology and Microbiology, University of Copenhagen and Department of Infectious Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
Adama ZidaEcole Doctorale Sciences et Santé, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.
Pascal MagnussenCentre for Translational Medicine and Parasitology, Institute for Immunology and Microbiology, University of Copenhagen and Department of Infectious Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
Halidou TintoInstitut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro (IRSS-CRUN), Campus URCN, CMS 11, BP 18, Nanoro, Burkina Faso.

Funding

The project was partly financially supported by Ministry of Foreign Affairs of Denmark through the DANIDA Fellowship Center CLIMSA grant: file no. DFC 20-01-KU
6 · The paper itself

Abstract

backgroundBuilding dams and irrigation schemes as resilience measures against growing food insecurity and water scarcity may increase malaria risk in endemic settings. This study aims to assess the clinical and asymptomatic carriage of Plasmodium falciparum throughout the year and explores their association with socio-economic and weather factors in Nanoro, Burkina Faso.

methodsA monthly household-based surveys were conducted from March 2022 to February 2023 in five villages located at variable distance (3-40 km) from the Soum dam located in the Nanoro Health district catchment area. Socio-demographic, weather, and economic data were collected using a standardized questionnaire. Capillary blood samples were analyzed for P. falciparum infection by microscopy. A mixed-effects logistic regression model adjusted for socio-economic and environmental factors was used to assess the infection probability and to analyze how village-level and month-level factors contributed to the malaria infection risk.

resultsA total of 13,786 participants were included. The overall prevalence of asymptomatic carriage (24.5%) was higher than clinical cases (19.5%). The 12-month malaria prevalence (clinical cases and asymptomatic carriage) were 39.6% (95%CI 38.79-40.42) with the highest rate (42.1% with 95% CI 40.7-43.47) reported from Soum near the dam and lowest rate (33.2%;95% CI 31.21-35.32) from Séguédin located far from the dam. Regardless of village location and transmission period, participants aged 5-19 years old had the highest prevalence of malaria infection with values ranged from 43.6% (95% CI 38.34-49.01) in Séguédin to 69.4% (95% CI 64.94-73.57) in Soum. Monthly rainfall measured in millimeters, was unexpectedly associated with decreased risk of malaria infection (OR = 0.77, 95%CI 0.66-0.9).

conclusionThe risk of malaria infection was higher in villages close to the dam, with Soum having the highest prevalence and Séguédin the lowest. This study highlights the impact of dam construction on the epidemiological profile of malaria and underscores the need for multi-sectoral approaches integrating health, water management, and socio-economic interventions to tackle the risk of the disease occurrence.

Indexed as

Carrier StateMalaria, FalciparumPlasmodium falciparumAdolescentAdultAgedBurkina FasoChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedPrevalenceRisk FactorsArtificial damBurkina FasoPlasmodium falciparum transmissionSoum

Identifiers

PMID41430278
PMCPMC12837110

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.