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Increasing the resolution of malaria early warning systems for use by local health actors.
Malar J
January 2025
MIVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France.
Background: The increasing availability of electronic health system data and remotely-sensed environmental variables has led to the emergence of statistical models capable of producing malaria forecasts. Many of these models have been operationalized into malaria early warning systems (MEWSs), which provide predictions of malaria dynamics several months in advance at national and regional levels. However, MEWSs rarely produce predictions at the village-level, the operational scale of community health systems and the first point of contact for the majority of rural populations in malaria-endemic countries.
View Article and Find Full Text PDFQuantifying the potential value of entomological data collection for programmatic decision-making on malaria control in sub-Saharan African settings.
Malar J
January 2025
MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Background: The availability of many tools for malaria control leads to complex decisions regarding the most cost-effective intervention package based on local epidemiology. Mosquito characteristics influence the impact of vector control, but entomological surveillance is often limited due to a lack of resources in national malaria programmes.
Methods: This study quantified the monetary value of information provided by entomological data collection for programmatic decision-making using a mathematical model of Plasmodium falciparum transmission.
A region-structured model for early warning of Plasmodium vivax malaria transmission risk in the Republic of Korea.
J Infect Public Health
January 2025
Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address:
Background: Malaria cases in the Republic of Korea decreased during the coronavirus disease 2019 pandemic but surged in 2023. Current models inadequately address spatial heterogeneity in transmission dynamics. This study aimed to address this by designing a region-structured model considering spatial heterogeneity based on regional malaria data from high-risk areas.
View Article and Find Full Text PDFSubclinical spp. Infections in a Community Setting in Bangui, Central African Republic.
Res Rep Trop Med
January 2025
Parasitology Laboratory, Pasteur Institute of Bangui, Bangui, Central Africa Republic.
Background: Malaria is a major public health problem in the Central African Republic (CAR). Data on malaria epidemiology are often derived from confirmed cases of symptomatic malaria using passive detection approaches, with very limited knowledge of the extent of subclinical and submicroscopic infections.
Methods: A community-based cross-sectional study was conducted in Bangui, the capital of the CAR, to assess the prevalence of subclinical malaria parasitaemia.
Hospital attendance, malaria prevalence and self-medication with an antimalarial drug before and after the start of COVID-19 pandemic in a sentinel site for malaria surveillance in Gabon.
Malar J
January 2025
Department of Parasitology-Mycology and Tropical Medicine, Université Des Sciences de La Santé de Libreville, BP 4009, Libreville, Gabon.
Background: The negative impact of COVID-19 pandemic on healthcare service utilization has been reported in several countries. In Gabon, data on the preparedness for future pandemic are lacking. The aim of the present study was to assess the trends of hospital attendance, malaria and self-medication prevalences as well as ITN use before and during Covid-19 first epidemic waves in a paediatric wards of a sentinel site for malaria surveillance, in Libreville, Gabon.
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