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Geospatial-Based Malaria Risk Mapping: A Case of Gedeo Zone, Southern Nations Nationalities and Peoples’ Regional State, Ethiopia

Received: 5 July 2022     Accepted: 9 August 2022     Published: 5 September 2022
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Abstract

Geographic Information System (GIS) and Remote Sensing (RS) 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 Gedeo zone of Southern Nation Nationalities and Peoples (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 Gedeo 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.

Published in American Journal of Nursing Science (Volume 11, Issue 4)
DOI 10.11648/j.ajns.20221104.12
Page(s) 103-117
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

GIS and Remote Sensing, Hazard, Risk, Vulnerable, Gedeo Zone

References
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[5] Survey, Ethiopia National Malaria. UNICEF. [Online] Available: https://www.unicef.org/ethiopia/ET_MIS_2011_Report.pdf. Addis Abeba: s.n., 2011.
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  • APA Style

    Wendafiraw Abdisa Gemmechis, Alemu Selemon Kudama. (2022). Geospatial-Based Malaria Risk Mapping: A Case of Gedeo Zone, Southern Nations Nationalities and Peoples’ Regional State, Ethiopia. American Journal of Nursing Science, 11(4), 103-117. https://doi.org/10.11648/j.ajns.20221104.12

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    ACS Style

    Wendafiraw Abdisa Gemmechis; Alemu Selemon Kudama. Geospatial-Based Malaria Risk Mapping: A Case of Gedeo Zone, Southern Nations Nationalities and Peoples’ Regional State, Ethiopia. Am. J. Nurs. Sci. 2022, 11(4), 103-117. doi: 10.11648/j.ajns.20221104.12

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    AMA Style

    Wendafiraw Abdisa Gemmechis, Alemu Selemon Kudama. Geospatial-Based Malaria Risk Mapping: A Case of Gedeo Zone, Southern Nations Nationalities and Peoples’ Regional State, Ethiopia. Am J Nurs Sci. 2022;11(4):103-117. doi: 10.11648/j.ajns.20221104.12

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  • @article{10.11648/j.ajns.20221104.12,
      author = {Wendafiraw Abdisa Gemmechis and Alemu Selemon Kudama},
      title = {Geospatial-Based Malaria Risk Mapping: A Case of Gedeo Zone, Southern Nations Nationalities and Peoples’ Regional State, Ethiopia},
      journal = {American Journal of Nursing Science},
      volume = {11},
      number = {4},
      pages = {103-117},
      doi = {10.11648/j.ajns.20221104.12},
      url = {https://doi.org/10.11648/j.ajns.20221104.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajns.20221104.12},
      abstract = {Geographic Information System (GIS) and Remote Sensing (RS) 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 Gedeo zone of Southern Nation Nationalities and Peoples (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 Gedeo 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.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Geospatial-Based Malaria Risk Mapping: A Case of Gedeo Zone, Southern Nations Nationalities and Peoples’ Regional State, Ethiopia
    AU  - Wendafiraw Abdisa Gemmechis
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    T2  - American Journal of Nursing Science
    JF  - American Journal of Nursing Science
    JO  - American Journal of Nursing Science
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    EP  - 117
    PB  - Science Publishing Group
    SN  - 2328-5753
    UR  - https://doi.org/10.11648/j.ajns.20221104.12
    AB  - Geographic Information System (GIS) and Remote Sensing (RS) 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 Gedeo zone of Southern Nation Nationalities and Peoples (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 Gedeo 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.
    VL  - 11
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    ER  - 

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Author Information
  • Department of Geography and Environmental Studies, College of Social Science and Humanities, Bule Hora University, Bule Hora, Ethiopia

  • Gedeo Zone Plan and Development Office, Dilla, Ethiopia

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