Assessment of Malaria Risk Using GIS and Multi Criteria: The Case Study of East Gojjam Zone, Ethiopia

Yıl 2022, Cilt: 9 Sayı: 1, 74 - 78, 06.03.2022

Abinet Mihiretie

https://doi.org/10.30897/ijegeo.781219

Cited By: 1

Öz

Malaria is one of the most severe public health problems worldwide with 300 to 500 million cases and about one million deaths reported to date, 90% of which were reported from Sub Saharan African countries like Ethiopia. The main objective of the study was Assessment of malaria risk areas by using the GIS-based MCA approaches in East Gojjam zone. Weighted overlay technique of multi-criteria analysis was used to develop the malaria risk map. The malaria risk map was produced depending upon the overlay analysis of the malaria hazard map and some factors like land use land cover, population density, health stations. The malaria risk map was classified into four suitability index such as very highly suitable, high suitable, moderately suitable, and low suitable. The result shows that around 21.02% areas is very highly suitable for malaria risk, 24.49% is high suitable, 24.66% is moderately suitable and 29.83 % is low suitable for malaria risk areas. It is suggested that effective identification and mapping of malaria risk areas can be made using geospatial tools, to contribute for the prevention system easily manageable and controlling the disease.

Anahtar Kelimeler

malaria, GIS, risk

Destekleyen Kurum

no

Proje Numarası

no

Kaynakça

• Ahmed, A. (2014). GIS and Remote Sensing for Malaria Risk Mapping, Ethiopia. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
• Addisu W. (2015). Assessment of Control Measures and Trends of Malaria in Burie-Zuria District,West Gojjam Zone, Amhara Region, NorthWest Ethiopia. Malaria Research and Treatment ,
• Ayalew S, M. H. (2016). Assessment of current malaria status in light of the ongoing control interventions, socio-demographic and environmental variables in Jiga Area, Northwest Ethiopia. PLoS ONE .
• Betemariam G, a. Y. ( 2002). Severe malaria among children in Gambella region, western Ethiopia. Ethiopian Journal of Health Development. 16: 61-70.
• Chakarova B, K. K. (2015). A Short Historical Overview Of Malaria In Worldwide And In Bulgaria. The Fight Against Malaria - The Main Task Of Sanitary Epidemiological Station In Stara Zagora In The First Year Of Its Opening. Trakia Journal Of Sciences , 13, Suppl. 2, 151-154.
• Emebet D, K. S. (2016). Malaria-risk assessment using geographical information system and remote sensing in Mecha district, West Gojjam, Ethiopia.Department of Zoological Sciences, Addis Ababa University.
• Mulugojjam Andualem, A. W. (2015). Assessment of Control Measures and Trends of Malaria in BurieZuria District, West Gojjam Zone, Amhara Region, North West Ethiopia. Malaria Research and Treatment .
• Obsomer V, D. P. (2007). The Anopheles dirus complex: spatial distribution and environmental drivers. Malaria J. . 6:26.
• Onyango E. (2016). An integrated risk and vulnerability assessment framework for climate change and malaria transmission in East Africa. Malaria Journal, 15(551), 1-12 .
• S. Kannathasan, A. A. (2009). Identification of potential malaria risk areas of the Jaffna district of northern Sri Lanka: A GIS approach. J.Natn.Sci.Foundation Sri Lanka. 37 (3):223-225 .
• Sujoy K., T. S. (2016). Integrating remote sensing and GIS for investigating malaria risk areas in morobe province-papua new guinea”, International Journal of Current Research, 8, (08), 37476-37483.
• W., T. (2016). Geographic Information System and Remote Sensing Based Malaria Risk Mapping: A Case of shone town administration, Southern Nations Nationalities and Peoples’ Regional State. Addis Ababa University Msc Thesis .