Spatial analysis of malaria risk using geospatial techniques in Wabi Shebele river sub-basin, Southeastern Ethiopia

References

• Abdulahia, A., Wudad, A., Abajihad, M., & Mohammed, F. (2020). Malaria hazard and risk analysis using GIS and remote sensing in Korahey Zone of Somali regional state, Eastern Ethiopia. American Scientific Research Journal for Engineering Technology, and Sciences (ASRJETS) 68(1), 20–18. http://asrjetsjournal.org/
   Google Scholar
• Afrane, Y., Githeko, K., & 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.). https://doi.org/10.5772/24946
   Google Scholar
• Ahmed, A. (2014). Geographic information science and remote sensing for malaria risk mapping, Ethiopia. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-8, 2014 ISPRS Technical Commission VIII Symposium (Vol. 40, pp. 155–161).
   Google Scholar
• Betemariam, G. A. Y. (2002). Severe malaria among children in Gambella region, western Ethiopia. Ethiopian Journal of Health Development, 16(1), 61–70. https://doi.org/10.4314/ejhd.v16i1.9827
   Google Scholar
• Bhatta, B. (2008). Remote sensing and GIS. Oxford University Press.
   Google Scholar
• Chakarova, B., Kichukova, K., & Karaslavov, G. (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. https://doi.org/10.15547/tjs.2015.s.02.032
   Google Scholar
• CSA. (2022). National census 2005. Ethiopian Central Statistical Agency.
   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
• Feikin, D. R., Nguyen, L. M., Adazu, K., Ombok, M., Audi, A., Slutsker, L., & Lindblade, A. K. (2009). The impact of distance of residence from a peripheral health facility on pediatric health utilisation in rural western Kenya. Tropical Medicine & International Health: TM & IH, 14(1), 54–61. https://doi.org/10.1111/j.1365-3156.2008.02193.x
   PubMed Web of Science ®Google Scholar
• Felix, P. A. (2003). Towards a risk map of malaria for Sri Lanka: The importance of house location relative to vector breeding sites. International Journal of Epidemiology, Great Britain, 32, 280–285.
   PubMed Web of Science ®Google Scholar
• FMoH. (2009). National strategic plan for malaria prevention, control and elimination in Ethiopia 2010–2015. Fed Ministry Health Addis Ababa Ethiop Geosci Geom, 1(1), 8–14.
   Google Scholar
• Foody, G. M., Campbell, N. A., Trodd, N. M., & Wood, T. F. (1992). Derivation and applications of probabilistic measures of class membership from the maximum-likelihood classification. Photogrammetric Engineering and Remote Sensing, 58(9), 1335–1341.
   Web of Science ®Google Scholar
• Freeman, T. W. (1995). Binga district - base line survey of the malaria situation. Save The Children.
   Google Scholar
• Gebre, S. L., Nasreddin, T., & Alemayehu, R. (2020). Spatial analysis and mapping of malaria risk areas using multi-criteria decision making in Didessa district, South West Ethiopia. Cogent Environmental Science, 6(1), 1860451. https://doi.org/10.1080/23311843.2020.1860451
   Web of Science ®Google Scholar
• Gruber, S., & Peckham, S. (2009). Land-surface parameters and objects in hydrology. In T. Hengl,& H. I. Reuter (Eds.), Developments in soil science (Vol. 33, pp. 171–194). Elsevier.
   Google Scholar
• Hasyim, H., Nursafingi, A., Haque, U., Montag, D., Groneberg, D. A., Dhimal, M., Kuch, U., & Müller, R. (2018). Spatial modelling of malaria cases associated with environmental factors in South Sumatra, Indonesia. Malaria journal, 17(1). https://doi.org/10.1186/s12936-018-2230-8
   Google Scholar
• Kabaria, C. W., Gilbert, M., Noor, A. M., Snow, R. W., & Linard, C. (2017). The impact of urbanization and population density on childhood Plasmodium falciparum parasite prevalence rates in Africa. Malaria journal, 16(1), 49. https://doi.org/10.1186/s12936-017-1694-2
   PubMed Web of Science ®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
• Manoharan, R., Alemu, M., Legesse, B., & Abajihad, M. (2020). Malaria hazard and risk analysis using geospatial techniques in the case of selected woredas of Jimma Zone, Oromia Region, Ethiopia. Earth Systems and Environment, 5(1), 115–126. https://doi.org/10.1007/s41748-020-00170-w
   Google Scholar
• Merga, B. B., Moisa, M. B., Negash, D. A., Ahmed, Z., & Gemeda, D. O. (2022). Land surface temperature variation in response to landuse and land-cover dynamics: A case of Didessa river sub-basin in western Ethiopia. Earth Systems and Environment, 6(4), 803–815. https://doi.org/10.1007/s41748-022-00303-3
   Google Scholar
• Mihiretie, A. A. (2022). Assessment of malaria risk using GIS and multi criteria: The case study of East Gojjam Zone, Ethiopia. International Journal of Environment & Geoinformatics, 9(1), 074–078. https://doi.org/10.30897/ijegeo.781219
   Google Scholar
• Moisa, M. B., & Gemeda, D. O. (2021). Analysis of urban expansion and land use/land cover changes using geospatial techniques: A case of Addis Ababa city, Ethiopia. Applied Geomatics, 13(4), 853–861. https://doi.org/10.1007/s12518-021-00397-w
   Web of Science ®Google Scholar
• Mulugojjam, A., Tamiru, M. A., & Yeshanew, A. G. (2015). Assessment of control measures and trends of malaria in BurieZuria district, West Gojjam Zone, amhara region, North West Ethiopia. Malaria Research and Treatment, 2015, 1–5. https://doi.org/10.1155/2015/302194
   Google Scholar
• Negash, D. A., Moisa, M. B., Merga, B. B., Sedeta, F., & Gemeda, D. O. (2021). Soil erosion risk assessment for prioritization of sub-watershed: The case of chogo watershed, Horo Guduru Wollega, Ethiopia. Environmental Earth Sciences, 80(17), 589. https://doi.org/10.1007/s12665-021-09901-2
   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. Addis Ababa university.
   Google Scholar
• Nelson, L. I., & Haksama, S. (2017). Spatial analysis of the correlation between topographic wetness index with annual parasites incidence malaria in South Central Timor district âA ¸S Indonesia. https://doi.org/10.5220/0007543303760380
   Google Scholar
• Nelson, L. I., & Haksama, S. (2018). Spatial analysis of the correlation between topographic wetness index with annual parasites incidence malaria in South Central Timor district 2017 âA ¸S Indonesia. In Proceedings of the 2nd International Conference Postgraduate School (ICPS 2018), (p. 376–380). https://doi.org/10.5220/0007543303760380.
   Google Scholar
• Ofgeha, G. Y. (2023). Spatial analysis of malaria hotspots in dilla sub-watershed: Western Ethiopia. Public Library of Science One, 18(4), e0273271. https://doi.org/10.1371/journal.pone.0273271
   Google Scholar
• Olana, D., Chibsa, S., Teshome, D., Mekasha, A., Graves, P. M., & Reithinger, R. (2011). Malaria, Oromia regional state, Ethiopia, 2001–2006. Emerging Infectious Diseases, 17(7), 1336–1337. PMID: 21762615. https://doi.org/10.3201/eid1707.100942
   PubMed Web of Science ®Google Scholar
• Platt, A., Obala, A. A., MacIntyre, C., Otsyula, B. O., & Meara, W. P. (2018). Dynamic malaria hotspots in an open cohort in western Kenya. Scientific Reports, 8(1), 647. https://doi.org/10.1038/s41598-017-13801-6
   PubMedGoogle 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
• Riihimäki, H., Kemppinen, J., Kopecký, M., & Luoto, M. (2021). Topographic Wetness Index as a Proxy for Soil Moisture: The Importance of Flow-Routing Algorithm and Grid Resolution. Water Research, 57(10), e2021WR029871. https://doi.org/10.1029/2021WR029871
   Web of Science ®Google Scholar
• Rohan, F. (2012). SAGA GIS training materials display and analysis of satellite imagery with a focus on NTT. 5–9.
   Google 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
• Santos, V. M., Bouma, M. J., Kohli, V., Pascual, M., & Maheu-Giroux, 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
• Stratton, L., O’Neill, M., Kruk, M., & Bell, M. L. (2008). The persistent problem of malaria: Addressing the fundamental causes of a global killer. Social Science & Medicine, 67(5), 854–862. https://doi.org/10.1016/j.socscimed.2008.05.013
   PubMed Web of Science ®Google Scholar
• Sujoy, K., & Tingneyuc, S. (2016). Integrating remote sensing and GIS for investigating malaria risk areas in morobe province-papua new guinea. International Journal of Current Research, 8(8), 37476–37483.
   Google Scholar
• Teklehaimanot, H. D., Lipsitch, M., Teklehaimanot, A., & 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(1), 41. https://doi.org/10.1186/1475-2875-3-41
   PubMedGoogle Scholar
• Thomson, M. C., Connor, S. J., & D’Alessandro, U. (1999). Predicting malaria infection in Gambian children from satellite data and bednet use surveys: The importance of spatial correlation in the interpretation of results. The American Journal of Tropical Medicine and Hygiene, 61(1), 2–8. https://doi.org/10.4269/ajtmh.1999.61.2
   PubMed Web of Science ®Google Scholar
• Wilson, J. P. (2018). Environmental applications of digital terrain modeling. Wiley Blackwell.
   Google Scholar
• Workineh, B., Mekonnen, F. A., Sisay, M., & Gonete, K. A. (2019). Malaria outbreak investigation and contracting factors in Simada district, Northwest Ethiopia: A case–control study. BMC Research Notes, 12(1). https://doi.org/10.1186/s13104-019-4315-z
   Google Scholar
• World Health Organization (WHO). (2012). WHO recommended insecticides for indoor residual spraying against malaria vectors.
   Google Scholar