Malaria Hazard and Risk Analysis Using GIS and Remote Sensing in Korahey Zone of Somali Regional State, Eastern Ethiopia

  • Abduselam Abdulahi Department of Agricultural Economics and Agribusiness Management, Kebri Dehar University, Kebridahar, P.O.Box 250, Ethiopia
  • Abdo Wudad Department of Geography and Environmental Studies, Kebri Dehar University, Kebridahar, P.O.Box 250, Ethiopia
  • Mohammedreha Abajihad Department of Geography and Environmental Studies, Kebri Dehar University, Kebridahar, P.O.Box 250, Ethiopia
  • Ferhan Mohammed Department of Computer Science, Kebri Dehar University, Kebridahar, P.O.Box 250, Ethiopia
Keywords: GIS, Remote Sensing, Malaria, MCDE, Risk map, weighted overly

Abstract

Malaria is one of the killer human diseases caused by protozoan parasites from plasmodium family which foremost transmitted by the bite of the female Anopheles species of Mosquito. Ethiopian lowland areas are favorable for mosquito breeding and malaria transmission due to their tropical location and environmental factors.  The current study was aimed to analyze the malaria hazard and risk areas in the case of Kebridahar and Sheykosh districts of Korahey zone by using GIS and RS technique. In order to achieve the study objective, different data’s such as satellite images, soil map, digital elevation, topographic map, study area shape files and the environmental factors like temperature, elevation, slope, soil, land use land cover and proximity to pond water site were used as an input data for the analysis. Weight was assigned for these parameters by pairwise comparison method and weighted overlay was used in Arc GIS spatial analyst tools to produce the final malaria hard and risk map of the study area. The hazard, malaria prevalence was mapped based on the environmental factors, computed using Multi Criteria Decision Evaluation technique (MCDE). The result of this study revealed that, from the total areas of both districts, 41.4%, 42.2% is mapped as very high and high hazard zone, whereas, the remaining 16.2% is mapped as low level of malaria hazard. The result of the malaria risk map also shows that about, 4095 km2 (23.7%), 12169.2 km2 (70.5%) and 1010 km2 (5.8%) of the study area were subjected to very high, high and moderate malaria risk level respectively. Generally, the result of this study revealed that large area (94.2%) is located in very high and high risk area toward the malaria hazards in Kebridahar and Sheykosh districts of Korahey Zone in Somali region. Therefore, it is recommended that all stakeholders especially health offices at district, zonal, regional and federal levels as well as NGOs should make awareness creation towards malaria prevention in the study area as special and in lowland areas as general.

References

. Afrane, Y., Githeko, K., and Yan, G. (2011). Malaria transmission in the African highlands in a changing climate situation: Perspective from Kenyan highlands, global warming impacts: - case studies on the economy, human health, and on urban and natural environments, Stefano Casalegno (Ed.), DOI: 10.5772/24946

. Ahmad, F., Goparaju, L. and Qayum, A. (2017). Studying Malaria Epidemic for Vulnerability Zones: Multi-Criteria Approach of Geospatial Tools. Journal of Geoscience and Environment Protection, 5, 30-53. DOI: https://doi.org/10.4236/gep.2017.55003

. Ashenafi, M. (2003) Design and Water Management of Irrigation Systems to Control Breeding of Anopheles Mosquitoes. Case Study: Hara Irrigation Project, Arba Minch, Ethiopia. M.Sc. Thesis, Wageningen University, Wageningen, The Netherlands.

. CSA (2007) Summary and statistical report of population and housing census of Ethiopia. Central Statistical Agency, Addis Ababa

. Stephen, J., Cechura, Lukas, Berhanu, and Adugna. (2011). BSE Disease Outbreaks, Structural Change and Market Power in the Canadian Beef Industry. Working Papers 114097, Structure and Performance of Agriculture and Agri-products Industry (SPAA), DOI: 10.22004/ag.econ.114097

. Eastman,J.R.,(2001). IDRISI Guide to GIS and Image Processing. Volume 2, Clark University Version 32.20.Version 32.20. Clark University.

. FMoH. (2009). National Strategic Plan for Malaria Prevention, Control and Elimination in Ethiopia 2010 – 2015. Federal Ministry of Health, Addis Ababa, Ethiopia Geosciences and Geometrics, Vol. 1, No. 1, pp.8-14.

. Marcus, M. and H.Minc, (1988). Introduction to Linear Algebra. New York: Dover, p. 145.

. Negassi, F. (2008). Identifying, Mapping and Evaluating Environmental Factors Affecting Malaria Transmission Using GIS and RS in Selected Kebeles of Adama district, Oromia Region. MSc Thesis, AAU.

. Petrocelli, L.D., Camardiel, A., Aguilar, V.H., Martinez, N., Córdova,K., and Ramos’s. (2011). Geospatial tools for the identification of a malaria corridor in Estado Sucre, a Venezuelan north-eastern state. Geospatial Health, 5(2), 169-176.

. Saaty, T.L., (1977). A Scaling Method for Priorities in Hierarchical Structures. Journal of Math. Psychology, 15:234-281.

. Shook, G. (1997). An assessment of disaster risk and its management in Thailand. Disasters, 21(1), 77-88.

. Stephen, M. (2006). landscape determinants and remote sensing of mosquito larval habitats in the high land of Kenya. Malaria journal.

. Stratton, L., O’Neill, M., Kruk, M and Bell.M. (2008).The persistent problem of malaria: addressing the fundamental causes of a global killer, Well Cornell medical college, New york, NY, USA.Socsci Med J 854-62.

. Teklehaimanot,A., and Schwartz,J. (2004),Weather based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms. Malaria Journal, 3, 41.

. Tensaye, W. (2016). Geographic Information System and Remote Sensing Based Malaria Risk Mapping: A Case of shone town administration, Southern Nations Nationalities and Peoples’ Regional State. MSc thesis. Addis Ababa University, Ethiopia.

. WHO. (2011). World Malaria Report. Geneva: World Health Organization.

. WHO. (2013). Global malaria situation. World Malaria Report /WMR/.

. WHO. (2018). World Malaria Report. Geneva: World Health Organization

. WHO. (2019). World Malaria Report. Geneva: World Health Organization

. Woime, A.W. (2008). Changes in the spread of malaria in Ethiopia: case study from Awassa and Hossana area 2006-2007. Telemark University College, Norway. Master’s thesis. Unpublished.

. Zhou, G., Afrane, Y., Vardo, Z., Atieli, H., Zhong, D., and Wamae, P. (2012). Changing Patterns of Malaria Epidemiology between 2002 and 2010 in Western Kenya: The Fall and Rise.

Published
2020-05-15
Section
Articles