ArticleHeliyon2023
Spatio-temporal analysis of environmental and climatic factors impacts on malaria morbidity in Ondo State, Nigeria.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Analysis of Lassa Fever Incidence in Nigeria Demonstrates a Clear Climate-Disease Interaction.EcoHealth · 2026Review
- Mapping malaria risk using geospatial and AHP approaches in Nsanje District, Malawi.Epidemiology and infection · 2026Article
- Spatio-temporal dynamics of malaria incidence in children under five years of age and correlation with meteorological variability in the North and Far North regions of Cameroon between 2015-2022.Parasite epidemiology and control · 2025Article
- The impact of the malaria centre program on malaria incidence in Papua Province.Public health in practice (Oxford, England) · 2025Article
- Spatial analysis of malaria cases and Anopheles species in East Java region, Indonesia.Tropical medicine and health · 2024Article
- GIS-based spatiotemporal mapping of malaria prevalence and exploration of environmental inequalities.Parasitology research · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
This study examined the spatio-temporal dynamics of malaria epidemiological patterns considering environmental(vegetation, water bodies, slope, elevation) and climatic factors (rainfall, temperature and relative humidity) in Ondo State, Nigeria, from 2013 to 2017 using ArcGIS 10.4 and QGIS software. The factors influencing malaria were studied using a multi-criteria analysis (Analytical Hierarchical Process-AHP). The trend analysis revealed an increase in cases over time, indicating a significant increase in the occurrence of malaria in all study areas. The most important climatic variable impacting malaria transmission in the study was temperature. Nevertheless, other environmental and climatic factors causing transmission include vegetation, water bodies, slopes, elevation, rainfall, and relative humidity. With the exception of Okitipupa, the study identified high-risk locations (vulnerable areas/hot spots) in almost all of the local government areas, while Ondo East, Akure South, Akoko South West, and Owo are the most vulnerable areas. The findings reveal that the malaria incidence is high in the developed LGAs having more towns where temperature is higher due to several anthropogenesis activities, high population and increased land-use. Thus, in-depth epidemiological studies on malaria should be undertaken in Ondo State and other regions of Nigeria considering environmental factors impacting malaria incidence as this will enable one to ascertain the major factors influencing the disease, thereby taking adequate measures to curb the increase in incidence.
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