PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Geographic Information System and Remote Sensing-Based Malaria Risk Mapping: A Case of Gedio Zone, Southern Nations Nationalities and Peoples Regional State, Ethiopia
Version 1
: Received: 30 April 2022 / Approved: 12 May 2022 / Online: 12 May 2022 (08:50:27 CEST)
How to cite:
Gemmechis, W.A.; Solomon, A. Geographic Information System and Remote Sensing-Based Malaria Risk Mapping: A Case of Gedio Zone, Southern Nations Nationalities and Peoples Regional State, Ethiopia. Preprints2022, 2022050163. https://doi.org/10.20944/preprints202205.0163.v1
Gemmechis, W.A.; Solomon, A. Geographic Information System and Remote Sensing-Based Malaria Risk Mapping: A Case of Gedio Zone, Southern Nations Nationalities and Peoples Regional State, Ethiopia. Preprints 2022, 2022050163. https://doi.org/10.20944/preprints202205.0163.v1
Gemmechis, W.A.; Solomon, A. Geographic Information System and Remote Sensing-Based Malaria Risk Mapping: A Case of Gedio Zone, Southern Nations Nationalities and Peoples Regional State, Ethiopia. Preprints2022, 2022050163. https://doi.org/10.20944/preprints202205.0163.v1
APA Style
Gemmechis, W.A., & Solomon, A. (2022). Geographic Information System and Remote Sensing-Based Malaria Risk Mapping: A Case of Gedio Zone, Southern Nations Nationalities and Peoples Regional State, Ethiopia. Preprints. https://doi.org/10.20944/preprints202205.0163.v1
Chicago/Turabian Style
Gemmechis, W.A. and Alemu Solomon. 2022 "Geographic Information System and Remote Sensing-Based Malaria Risk Mapping: A Case of Gedio Zone, Southern Nations Nationalities and Peoples Regional State, Ethiopia" Preprints. https://doi.org/10.20944/preprints202205.0163.v1
Abstract
Abstract Geographic Information System and Remote Sensing played an important role in analyzing environmental and socio-economic drivers that created favorable condition for malaria breeding as well as in identifying hazard and risk areas. This study gives great emphasis on mapping malaria hazard and risk areas in Gedio zone of SNNPs using geospatial technology. The study identifies two major drivers like Environmental (physical) factors: which provide for the endurance of mosquitoes and Socio-economic factors. The above data were presented and analyzed quantitatively. The content analysis shows that Malaria hazard prevalence areas were mapped based on the environmental factors which are potential of providing good environmental conditions for mosquito breeding. The hazard map was produced using elevation, slope, proximity to breeding sites, and soil type as the factors for breeding mosquitoes. The malaria hazard analysis of the Gedio zone revealed that from the total area, 9.83%, 35.29% is mapped as a very high and high-risk area, whereas, the remaining 38.73%, a 16.14%, and 0.01% were mapped as moderate, low, very low level of malaria hazard respectively. The total area of the study area more than 1/3rd of the area is identified as a very high and high malaria risk area while the rest 2/3rd of an area is considered as a moderate to very low hazard risk zone. Accordingly, very high malaria risk area is found around towns because of population density. Finally, I recommend that the concerned body should have to expand health center, creating awareness of society, especially around populated areas where the risk is high and environmental and individual sanitation can reduce the risk of malaria.
Keywords
GIS and Remote sensing; Hazard; Risk; Vulnerable; Gedio Zone
Subject
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
