The menace of mosquito borne diseases is a burden all over the world, malaria is a chief of such diseases and remains a significant public health issue in Nigeria, particularly in rural areas such as Akoko North-East Local Government Area (LGA) of Ondo State. This study maps malaria risk in Akoko North-East, Ondo State, Nigeria, which cut across six villages namely, Ikare, Ugbe, Ise, Iboropa, Auga, Ikakumo, employing remote sensing and GIS techniques. This study aims to map malaria risk areas in the LGA by assessing larval density and the physico-chemical parameters of water bodies serving as mosquito breeding sites. Larvae were sampled from various habitats, including streams, stagnant water bodies, gutters, discarded containers, and abandoned tires, using standard dipping techniques. Physical measurements of breeding sites, such as water depth and proximity to residences, along with physico-chemical parameters like pH, temperature, total dissolved solids (TDS), and electrical conductivity, were recorded. Data were collected over two weeks at breeding sites selected with the assistance of local residents, with larvae collection carried out between 7:00 AM and 10:00 AM daily. Statistical analysis using SPSS was employed to calculate the mean values of larval density and physico-chemical parameters across different towns in the LGA. Results revealed spatial variability in mosquito breeding site density and significant relationships between water characteristics and larval density. This study provides critical insights for targeted malaria control interventions in Akoko North-East, offering a foundation for ongoing public health strategies aimed at reducing malaria transmission.
A. L. Adeyekun (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: