Geospatial Mapping of Malaria in the Lowland Forest Ecological Zone of Ondo State, Nigeria
DOI:
https://doi.org/10.47941/jags.1669Keywords:
Malaria; Urbanization; ANOVA; Geospatial; World Health OrganizationAbstract
Purpose: This study analyzed the spatial and temporal patterns of malaria occurrence in Ondo state, Nigeria, and to identify the major factors influencing the disease transmission and control.
Methodology: The research collects primary data from questionnaires administered to hospital staff and workers in areas with high malaria cases while secondary data were sourced from the State's ministry of health malaria cases gazette. The data was sorted, processed, and analyzed using Microsoft Excel and ArcGIS 10.2 software to produce maps and graphs showing the malaria occurrence and trends in the study area.
Findings: The study analyzed the malaria occurrence and trends in Ondo State, Nigeria, from 2011 to 2018, using questionnaires and secondary data. The result revealed that mosquito, blood group, poverty, and communicability were significant factors for malaria incidence (p < 0.001), while seasonality, time of day, and immunity status were non-significant (p > 0.05). Result shows that malaria could be transmitted from mother to child during childbirth (p=0.008), but mortality was non-significant in the three Local Government Areas (LGAs) studied (p = 0.166). In addition, malaria cases and attack rate declined significantly from 2015 to 2018, due to the improved health facilities and preventive measures implemented by the State government and health authorities
Unique contributor to theory, policy and practice: The study contributes to the existing knowledge and literature on malaria epidemiology and control in Nigeria, by providing a comprehensive and updated spatial and temporal analysis of the disease occurrence and factors in Ondo state. The study also provides useful recommendations for the state ministry of health and government to conduct further studies and develop strategies to interrupt malaria transmission in low susceptible settings, and to achieve the goal of malaria elimination in the state in line with global setting.
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References
Abdulkareem, S., Adegboyega, S., Balogun, A., Eteng, W., Adebayo, F., (2017). Geospatial Analysis of
Abellana, R., Ascaso, C., Aponte, J., Francisco, S., Nhalungo, D., Nhacolo, A. and Alonso, P., (2008).
Ahmed, A., (2014). GIS and Remote Sensing for Malaria Risk Mapping. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XL: 8, ISPRS Technical Commission VIII Symposium, Hyderabad, India. https://doi:10.5194/isprsarchives-XL-8-1552014
Ayele, D.G., Zewotir, T.T. and Mwambi, H.G., (2013). Spatial distribution of malaria problem in three regions of Ethiopia. Malaria Journal, 12: 207. https://doi:10.1186/1475-2875-12-207
Bousema, T., Drakeley, C., Gesase, S., Hashim, R., Magesa, S., Mosha, F., (2010). Identification of hot spots of malaria transmission for targeted malaria control. Journal of Infectious Disease, 201(11):1764-1774. https://doi.org:10.1086/652456
Chala, B., Hamde. F., 2021. Emerging and Re-emerging Vector-Borne Infectious Diseases and the Challenges for Control: A Review. Front Public Health Journal 9:715759. https://doi.org:10.3389/fpubh.2021.715759
Dada, P., (2023) Ondo says residents spend N 12bn on malaria annually. Accessed 25th January 2024, Available at https://punchng.com/ondo-says-residents-spend-n20bn-on-malaria-annually/
Hay, S.I., Omumbo, J.A., Craig, M.H, and Snow, R. W (2000) Earth observation, geographic information system and Plasmodium falciparum malaria in sub-Saharan Africa. Adv Parasitol; 47: 0173215
Ifatimilehin, O.O., Laah, J.G. and Toluhi, O.O., (2009). An assessment of Malaria risk in Koton Karfe watershed catch, Nigeria. Journal of Geography and Regional Planning. 3: 055-061. https://academicjournals.org/article/article1379417281_ifatimehin%20et%20al.pdf
Li Li., Ling, B. and Guiun, Yan., (2008). A study of the distribution and abundance of the adult malaria vector in western Kenya highlands. International Journal of Health Geographics 7:50. https://doi.10.1186/1476-072X-7-50
Malaria Risks in the Ancient Town of Akure, Ondo State, Nigeria. International Journal of Environment and Bioenergy 12(1): 88-99. https://www.researchgate.net/publication/333516252_Geospatial_Analysis
Malaria-Consortium, (2021) Support for Monitoring and Evaluation of LLIN Distribution Campaign in Ondo State, Nigeria. https://www.givewell.org/research/incubation-grants/Malaria-Consortiummonitoring-Ondo-July-2021
Meades, M., and Florin, J., and Gesler, W., (1988) "The Human Ecology of Disease". In Meades,M. et al.,(eds), Medical Geography, The Guilford Press, New York,pp.29-54.
Noor, A.M., Clements, A.C., and Gething, P.W. (2008). Spatial prediction of Plasmodium falciparum prevalence in Somalia. Journal of Malaria 7, 159. https://doi.org/10.1186/1475-2875-7-159
Olusi, T.A., Simon-Oke, I.A. & Akeju, A.V., (2021). Composition, habitat preference and seasonal
Robert, Y., Anto, E.A., & Chipeta, M.G. (2019) Geostatistical analysis and mapping of malaria risk in children under 5 using point-referenced prevalence data in Ghana. Malaria Journal 18: 67 https://doi.org/10.1186/s12936-019-2709-y
Shirayama, Y., Phompida, S. and Shibuya, K., (2009) Geographic Information System (GIS) maps and malaria control monitoring: intervention coverage and health outcome in distal villages of Khammouane province, Laos. Malaria Journal. 8:217. https://doi.10.1186/1475-2875-8-217.
Sogoba, N., Vounatsou, P., Bagayoko, M., Doumbia, S., Dolo, G., Gosoniu, L., Traore, S., Toure, Y., and Smith, T. (2007) The spatialdistribution of Anopheles gambiae sensu stricto and An. Arabiensis (Diptera; Culicidae) in Mali. Geospatial Health , 1(2), 213-222. https://doi.org/10.4081/gh.2007.269
Spatio-seasonal modelling of the incidence rate of malaria in Mozambique. Malaria Journal. 7:228. https://doi.org/10.1186/1475-2875-7-228
State, Nigeria. Bull Natl Res Cent 45:87. https://doi.org:10.1186/s42269-021-00535-9
Tatem, A.J. and Hay, S.I. (2004). Measuring Urbanization Pattern and Extent for Malaria Research: A Review of Remote Sensing Approaches. Journal of Urban Health, 81: 363-376
variation of malaria vector larval and pupa stage in Akure North Local Government Area of Ondo
Yeshiwondim, A.K., Gopal, S., Hailemariam, A.T., Dengela, D.O. and Patel, H.P., (2009). Spatial analysis of malaria incidence at the village level in areas with unstable transmission in Ethiopia. International Journal of Health Geographics. 8:5. https://doi.org/10.1186/1476-072X-8-5
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