Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia
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...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-01-01
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| Series: | Geocarto International |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2024.2326003 |
| _version_ | 1797257902886486016 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Abel Daniel Banti |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T22:45:01Z |
| format | Article |
| id | doaj.art-b6dbfb127e4b4dc6a7451032049cf80d |
| institution | Directory Open Access Journal |
| issn | 1010-6049 1752-0762 |
| language | English |
| last_indexed | 2024-04-24T22:45:01Z |
| publishDate | 2024-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj.art-b6dbfb127e4b4dc6a7451032049cf80d2024-03-18T12:26:14ZengTaylor & Francis GroupGeocarto International1010-60491752-07622024-01-0139110.1080/10106049.2024.2326003Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, EthiopiaAbel Daniel Banti0Hizkel Asfaw Worku1Shankar Karuppannan2Pradeep Kamaraj3Sajjad Hussain4Ayed Taran5Mohammed J. Alshayeb6Hoang Thi Hang7Hussein Almohamad8Hazem Ghassan Abdo9Department of Surveying Engineering, Faculty of Civil Engineering, Arba Minch University, Arba Minch, EthiopiaDepartment of Civil Engineering, College of Engineering and Technology, Wachemo University, Durame Campus, Durame, EthiopiaDepartment of Applied Geology, School of Applied Natural Science, Adama Science & Technology University, Adama, EthiopiaDepartment of Applied Geology, School of Applied Natural Science, Adama Science & Technology University, Adama, EthiopiaDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, PakistanDepartment of Applied Geography, Faculty of Arts, Al al-Bayt University, Mafraq, JordanDepartment of Architecture and Planning, College of Engineering, King Khalid University, Abha, Saudi ArabiaDepartment of Geography, Faculty of Natural Science, Jamia Millia Islamia, New Delhi, IndiaDepartment of Geography, College of Languages & Humanities, Qassim University, Buraydah, Saudi ArabiaDepartment of Geography, Faculty of Arts and Humanities, Tartous University, Tartous, SyriaAbstractMalaria 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.https://www.tandfonline.com/doi/10.1080/10106049.2024.2326003Epidemiologyhealth hazardshotspotmalariaenvironment |
| spellingShingle | 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 Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia Geocarto International Epidemiology health hazards hotspot malaria environment |
| title | Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia |
| title_full | Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia |
| title_fullStr | Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia |
| title_full_unstemmed | Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia |
| title_short | Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia |
| title_sort | modelling malaria vulnerability hotspot by using geospatial techniques the case of kindo koysha woreda wolaita zone ethiopia |
| topic | Epidemiology health hazards hotspot malaria environment |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2024.2326003 |
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