Malaria Vulnerability Mapping of Ilorin-South, Kwara State, Nigeria.

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dc.contributor.authorBabalola, Ayo
dc.contributor.authorDaniel, Brimmo
dc.contributor.authorIdrees, Oludare M.
dc.contributor.authorModibbo, M.
dc.contributor.authorAbdulraheem, Maimuna Orire
dc.date.accessioned2022-12-14T10:02:26Z
dc.date.available2022-12-14T10:02:26Z
dc.date.issued2021
dc.description.abstractMalaria is a vector-borne disease (VBD) that has become a significant public health challenge in Nigeria. Despite the launch of an initiative like the Roll Back Malaria, which was aimed at halving the morbidity and mortality rate in Nigeria, there appears to have been not much success recorded. The purpose of this study is to identify areas of malaria risk and vulnerability, to effectively mitigate the consequences. To achieve this, GIS-based spatial modelling techniques was applied, taking into account factors such as climate (temperature and rainfall), land use/land cover and topographic factors (elevation, slope and topographic wetness index (TWI) of the study area. A 30m digital elevation model (DEM) was utilized and obtained from the shuttle radar topographic mission (SRTM), Landsat 8 image from the United States geological survey, climate data from the World climate.org platform and the data from reported Malaria cases from the secondary Health care centers. Standardized and reclassified criteria was used for the Malaria risks mapping at a score range of 1 to 4, where 4 is the highest and 1 represents the lowest malaria risk area. The Analytic Hierarchy Process (AHP) was used to determine the relative importance weight of the malaria risk criteria. The final malaria risk classes were combined using the weighted sum overlay method to produce the final vulnerability map. The spatial distribution of the malaria risk in the study was homogeneous. The result shows that 12.7% (3110.04ha) of the area was at low risk of malaria, while 87.3% (21316.30ha) of the area was at high risk of malaria. An assessment was done on the map produced to evaluate the accuracy of the malaria vulnerability map produced compared to data on malaria cases collected from the secondary health centres within the study area. The map produced passed the accuracy assessment which implies that the map is reliable. The study will assist in more informed decision making and policy making in terms of planning for malaria intervention and control measures.en_US
dc.identifier.citationBabalola Ayo, Daniel Brimmo, Idrees Oludare M., Modibbo M., & Abdulraheem Maimuna Orire. (2021). Malaria Vulnerability Mapping of Ilorin-South, Kwara State, Nigeria. Journal of Environmental Sciences (2) 1: 113-127. Published by Faculty of Environmental Sciences, Nasarawa State University Keffien_US
dc.identifier.issn2756-4258
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/8023
dc.language.isoenen_US
dc.publisherFaculty of Environmental Sciences, Nasarawa State University Keffi.en_US
dc.relation.ispartofseriesNASARAWA STATE UNIVERSITY JOURNAL OF ENVIRONMENTAL SCIENCES (NSUK-JES));2 (1)
dc.subjectMalaria risksen_US
dc.subjectGISen_US
dc.subjectMappingen_US
dc.subjectVulnerabilityen_US
dc.subjectAHPen_US
dc.subjectEnvironmental Factorsen_US
dc.titleMalaria Vulnerability Mapping of Ilorin-South, Kwara State, Nigeria.en_US
dc.typeArticleen_US

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