Spatial analysis and mapping of malaria risk areas using multi-criteria decision making in Didessa District, South West Ethiopia

References

• Addisu, J. (2012). Knowledge, attitude and practice of malaria prevention among communities of Burka Jalela kebele Didessa woreda, south west of Ethiopia. Jimma University.
   Google Scholar
• Afrane, Y. A., Zhou, G., Lawson, B. W., Githeko, A. K., & Yan, G. (2007). Life-table analysis of Anopheles arabiensis in western Kenya highlands: Effects of land covers on larval and adult survivorship. American Journal of Tropical Medicine and Hygiene, 77(4), 660–18. https://doi.org/10.4269/ajtmh.2007.77.660
   PubMed Web of Science ®Google Scholar
• Ahmad, R., Ali, W. N. W. M., Nor, Z. M., Ismail, Z., Hadi, A. A., Ibrahim, M. N., & Lim, L. H. (2011). Mapping of mosquito breeding sites in malaria-endemic areas in Pos Lenjang, Kuala Lipis, Pahang, Malaysia. Malaria Journal, 10(1), 361. https://doi.org/10.1186/1475-2875-10-361
   PubMedGoogle Scholar
• Ahmed, A. (2014). GIS and remote sensing for malaria risk mapping, Ethiopia. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(8), 155–161. https://doi.org/10.5194/isprsarchives-XL-8-155-2014
   Google Scholar
• Akkala, A. (2010). Development of artificial neural networks based interpolation techniques for the modeling and estimation of radon concentrations in Ohio. The Open Environmental & Biological Monitoring Journal, 4(August), 21–31. https://doi.org/10.2174/1875040001104010021
   Google Scholar
• Alemayehu, L. (2011). Gis and remote sensing based malaria risk mapping in Fentale Woreda, East Shoa Zone, Ethiopia. Addis Ababa University.
   Google Scholar
• Arega, D. G. (2009). Vulnerability analysis and malaria risk mapping in Awassa and Wondogenet Woredas. Ethiopia: Addis Ababa University.
   Google Scholar
• Burlando, A. (2012). The impact of malaria on education: Evidence from Ethiopia. SSRN Electronic Journal, (541),346–1351. https://doi.org/10.2139/ssrn.2164475
   Google Scholar
• Carter, R., Mendis, K. N., & Roberts, D. (2000). Spatial targeting of interventions against malaria. Bulletin of the World Health Organization, 78(12), 1401–1411. https://doi.org/10.1590/S0042-96862000001200007
   PubMed Web of Science ®Google Scholar
• Chen, Y., Yu, J., & Shahbaz, K. (2009). A GIS-based sensitivity analysis of multi-criteria weights. In 18th World IMACS/MODSIM congress (pp. 13–17). Cairns, Queensland,Australia.
   Google Scholar
• Chikodzi, D. (2013). Spatial modelling of malaria risk zones using environmental, anthropogenic variables and geographical information systems techniques. Journal of Geosciences and Geomatics, 1(1), 8–14. https://doi.org/10.12691/jgg-1-1-2
   Google Scholar
• Crees, M. J., & Mhlanga, C. (1985). Malaria prevalence in Zimbabwe and parasite survey of 1983. Zim Sci News, 19(1), 114–117.
   Google Scholar
• Cressie, N. (1992). Statistics for spatial data. Terra Nova, 4(5), 613–617. https://doi.org/10.1111/j.1365-3121.1992.tb00605.x
   Google Scholar
• Cruz-Coke, R. (2016). (WHO, World Malaria Report 2016). World Health Organization. https://doi.org/10.4135/9781452276151.n221
   Google Scholar
• CSA. (2005). National census 2005.Addis Ababa,Ethiopia: Ethiopian Central Statistical Agency.
   Google Scholar
• De Silva, P. M., & Marshall, J. M. (2012). Factors contributing to urban malaria transmission in sub-Saharan Africa: A systematic review. Journal of Tropical Medicine, 2012(1), 1–10. https://doi.org/10.1155/2012/819563
   Google Scholar
• Deress, T., & Girma, M. (2019). Plasmodium falciparum and Plasmodium vivax Prevalence in Ethiopia: A systematic review and meta-analysis. Malaria Research and Treatment, 2019(1), 12. https://doi.org/10.1155/2019/7065064
   Google Scholar
• Deressa, W., Ali, A., & Enqusellassie, F. (2003). Self-treatment of malaria in rural communities, Butajira, southern Ethiopia. Bulletin of the World Health Organization, 81(4), 261–268. https://doi.org/10.1590/S0042-96862003000400007
   PubMed Web of Science ®Google Scholar
• Desalegn, A., & Shewangizaw, A. (2015). Assessment of knowledge, attitude and practice towards malaria prevention and control among Assosa woreda communities, Benishangul gumuz region al state, western Ethiopia. Wjpls, 1(1), 117–134.
   Google Scholar
• Ebi, K. L., Hartman, J., Chan, N., McConnell, J., Schlesinger, M., & Weyant, J. (2005). Climate suitability for stable malaria transmission in Zimbabwe under different climate change scenarios. Climatic Change, 73(3), 375–393. https://doi.org/10.1007/s10584-005-6875-2
   Web of Science ®Google Scholar
• Emebet, D., Suryabhagavan,K.V., & M. Balakrishnan,M. (2016). Malaria-risk assessment using geographical information system and remote sensing in © Indian Society of Geomatics. Geomatics, 10(1), 55–64.
   Google Scholar
• Feizizadeh, B., & Blaschke, T. (2013). Land suitability analysis for Tabriz County, Iran: A multi-criteria evaluation approach using GIS. Journal of Environmental Planning and Management, 56(1), 1–23. https://doi.org/10.1080/09640568.2011.646964
   Web of Science ®Google Scholar
• FMoH. (1999). Malaria and other vector-borne diseases prevention and control unit: Guidelines for malaria epidemic prevention and control in Ethiopia. Ethiopian Ministry of Health.
   Google Scholar
• FMoH. (2004). Federal Ministry of Health: Guideline for malaria epidemic prevention and control in Ethiopia (2nd ed.). Ministry of Health.
   Google Scholar
• FMoH. (2009). National strategic plan for malaria prevention, control and elimination in Ethiopia 2010 – 2015.Ethiopian Ministry of Health.
   Google Scholar
• FMoH. (2012). National malaria guidelines.Ethiopian Ministry of Health.
   Google Scholar
• FoMH. (2004). Diagnosis and treatment guidelines for health workers in Ethiopia 2nd Edition In Health (San Francisco) (2nd ed.). Federal Ministry of Health.
   Google Scholar
• Freeman, T. W. (1995). Binga District - Base line survey of the malaria situation. UK: Save The Children.
   Google Scholar
• Gamage-Mendis, A. C., Carter, R., Mendis, C., De Zoysa, A. P. K., Herath, P. R. J., & Mendis, K. N. (1991). Clustering of malaria infections within an endemic population: Risk of malaria associated with the type of housing construction. American Journal of Tropical Medicine and Hygiene, 45(1), 77–85. https://doi.org/10.4269/ajtmh.1991.45.77
   PubMed Web of Science ®Google Scholar
• Jamison, D. T., Feachem, R. G., Makgoba, M. W., Bos, R.E., Baingana, K.F., Hofman J.K. &Rogo, O.K. (2006). Disease and mortality in Sub-Saharan Africa (2nd ed.). The International Bank for Reconstruction and Development/The World Bank.
   Google Scholar
• Janssen R., &Rietveld P. (1990) Multicriteria analysis and geographical information systems: an application to agricultural land use in the netherlands. In: Scholten H.J., Stillwell J.C.H. (eds) Geographical Information Systems for Urban and Regional Planning. The GeoJournal Library, vol 17. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1677-2_12
   Google Scholar
• Kaufmann, C., & Briegel, H. (2004). Flight performance of the malaria vectors Anopheles gambiae and Anopheles atroparvus. Journal of Vector Ecology: Journal of the Society for Vector Ecology, 29(1), 140–153. http://www.ncbi.nlm.nih.gov/pubmed/15266751
   PubMed Web of Science ®Google Scholar
• Kreuels, B., Kobbe, R., Adjei, S., Kreuzberg, C., von Reden, C., Bäter, K., Klug, S., Busch, W., Adjei, O., & May, J. (2008). Spatial variation of malaria incidence in young children from a geographically homogeneous area with high endemicity. The Journal of Infectious Diseases, 197(1), 85–93. https://doi.org/10.1086/524066
   PubMed Web of Science ®Google Scholar
• Liu, X., Zeng, W., Cui, X., Liu, X., Cui. H., & Wang, P. (2006). Remote Sensing and GIS for Identifying and Monitoring the Environmental Factors Associated with Vector-borne Disease: An Overview. IEEE International Symposium on Geoscience and Remote Sensing, pp. 1443–1446. Denver, CO. doi:10.1109/IGARSS.2006.372
   Google Scholar
• Martens, P., Kovats, R. S., Nijhof, S., De Vries, P., Livermore, M. T. J., Bradley, D. J., COX, J., & McMichael, A. J. (1999). Climate change and future populations at risk of malaria. Global Environmental Change, 9(SUPPL.), S89-S107. https://doi.org/10.1016/S0959-3780(99)00020-5
   Google Scholar
• Mendoza, G. A., & Martins, H. (2006). Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms. Forest Ecology and Management, 230(1–3), 1–22. https://doi.org/10.1016/j.foreco.2006.03.023
   Web of Science ®Google Scholar
• Munga, S., Minakawa, N., Zhou, G., Mushinzimana, E., Barrack, O. O. J., Githeko, A. K., & Yan, G. (2006). Association between land cover and habitat productivity of malaria vectors in western Kenyan highlands. American Journal of Tropical Medicine and Hygiene, 74(1), 69–75. https://doi.org/10.4269/ajtmh.2006.74.69
   PubMed Web of Science ®Google Scholar
• Mwangangi, J. M., Muturi, E. J., Muriu, S. M., Nzovu, J., Midega, J. T., & Mbogo, C. (2013). The role of Anopheles arabiensis and Anopheles coustani in indoor and outdoor malaria transmission in Taveta District, Kenya. Parasites & Vectors, 6(114), 1–9. https://doi.org/10.1186/1756-3305-6-114
   Web of Science ®Google Scholar
• Negassi, F. (2008). Identifying, mapping and evaluating environmental factors affecting malaria transmission using GIS and RS in selected Kebeles of Adama district, Oromia Region. Ethiopia: Addis Ababa university.
   Google Scholar
• Powell, H., Mihalas, S., Onwuegbuzie, A. J., Suldo, S., Daley, C. E.,(2008). Mixed methods research in school psychology: A mixed methods investigation of trends in the literature. Psychology in the Schools, 45(4), 291–309. https://doi.org/10.1002/pits.20296
   Web of Science ®Google Scholar
• Ra, P. K., Nathawat, M. S., & Onagh, M. (2012). Application of multiple linear regression model through GIS and remote sensing for malaria mapping in Varanasi District, INDIA. Health Science Journal, 6(4), 731–749.
   Google Scholar
• Rai, P. K., Nathawat, M. S., & Rai, S. (2013). Using the information value method in a geographic information system and remote sensing for malaria mapping: A case study from India. Informatics in Primary Care, 21(1), 43–52. https://doi.org/10.14236/jhi.v21i1.38
   PubMedGoogle Scholar
• Rutherford, M. E., Mulholland, K., & Hill, P. C. (2010). How access to health care relates to under-five mortality in sub-Saharan Africa: Systematic review. Tropical Medicine and International Health, 15(5), 508–519. https://doi.org/10.1111/j.1365-3156.2010.02497.x
   PubMed Web of Science ®Google Scholar
• Saaty, T. L., & Vargas, L. G. (2001). Models, methods, concepts, and applications of the analytic hierarchy process. Kluwer Academic Publishers.
   Google Scholar
• Santos, V. M., Bouma, M. J., Kohli, V., & Pascual, M. (2016). Population density, climate variables and poverty synergistically structure spatial risk in urban Malaria in India. PLoS Neglected Tropical Diseases, 10(12), e0005155. https://doi.org/10.1371/journal.pntd.0005155
   PubMed Web of Science ®Google Scholar
• Saxena, R., Nagpal, B. N., Srivastava, A., Gupta, S. K., & Dash, A. P. (2009). Application of spatial technology in malaria research & control: Some new insights. Indian Journal of Medical Research, 130(2), 125–132.
   PubMed Web of Science ®Google Scholar
• Schabenberger, O., & Gotway, C. A. (2017). Statistical methods for spatial data analysis. Statistical Methods for Spatial Data Analysis. Texts in Statistical Science (1st ed.). CRC Press. https://doi.org/10.1201/9781315275086
   Google Scholar
• Shook, G. (1997). An assessment of disaster risk and its management in Thailand. Disasters, 21(1), 77–88. https://doi.org/10.1111/1467-7717.00045
   PubMed Web of Science ®Google Scholar
• Sluiter, R.(2009). Interpolation Methods for Climate Data: Literature Review. KNMI, R&D Information and Observation Technology De Bilt, International report; IR 2009-04
   Google Scholar
• Tiruneh, A. (2010). GIS and remote sensing based assessment of malaria risk mapping for Boricha Woreda, GIS and remote sensing based assessment of malaria risk mapping for Boricha Woreda, Ethiopia. Ethiopia: Addis Ababa University.
   Google Scholar
• Tulu, N. (1993). Malaria: In the ecology of health and disease in Ethiopia (2nd ed.). Westview Press Inc.
   Google Scholar
• van der Hoek, W., Konradsen, F., Amerasinghe, P. H., Perera, D., Piyaratne, M. K., & Amerasinghe, F. P. (2003). Towards a risk map of malaria for Sri Lanka: The importance of house location relative to vector breeding sites. International Journal of Epidemiology, 32(2), 280–285. https://doi.org/10.1093/ije/dyg055
   PubMed Web of Science ®Google Scholar
• Wondim, Y. K., Alemayehu, E. B., & Abebe, W. B. (2017). Malaria hazard and risk mapping using GIS based Spatial Multicriteria Evaluation Technique (SMCET) in Tekeze Basin Development Corridor, Amhara Region, Ethiopia. Journal of Environment and Earth Science (JEES), 7(5), 76–87. https://www.researchgate.net/publication/331555980_Malaria_Hazard_and_Risk_Mapping_Using_GIS_Based_Spatial_Multicriteria_Evaluation_Technique_SMCET_in_Tekeze_Basin_Development_Corridor_Amhara_Region_Ethiopia
   Google Scholar
• World Health Organization. (2015). (World Malaria Report 2015: Annex 1).
   Google Scholar