Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia
| Autor: | Abel Daniel Banti, Hizkel Asfaw Worku, Shankar Karuppannan, Pradeep Kamaraj, Sajjad Hussain, Ayed Taran, Mohammed J. Alshayeb, Hoang Thi Hang, Hussein Almohamad, Hazem Ghassan Abdo |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Geocarto International, Vol 39, Iss 1 (2024) |
| Druh dokumentu: | article |
| ISSN: | 10106049 1752-0762 1010-6049 74510320 |
| DOI: | 10.1080/10106049.2024.2326003 |
| Popis: | AbstractMalaria is a serious, acute disease spread by female Anopheles mosquito bites. Malaria is an epidemic in the Wolaita Zone, affecting 85% of the population despite the implementation of effective prevention and control measures in the area’s public health services. The main objective of this study is to apply geospatial techniques to environmental, socioeconomic, and epidemiological parameters that increase certain conditions for malaria incidence to identify malaria vulnerability hotspots using a multi-criteria evaluation method. The malaria vulnerability hotspot map is identified by using AHP and the malaria hotspot identification algorithm. The findings show that the research area is 51% very high and highly vulnerable (224.14 km2), 26% moderate (116.560 km2) and 23% low vulnerable (103.600 km2). The western part of the area, which is near the Omo River and has low elevation, is highly vulnerable to malaria incidence. Reliable malaria vulnerability hotspot maps are critical for estimating the scope of the problem and, consequently, the resources required to combat malaria. |
| Databáze: | Directory of Open Access Journals |
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