Analysis of sanitation and waterborne disease occurrence in Ondo State, Nigeria

Hussein Adedoyin Adegoke (), Habeeb Solihu () and Solomon Olakunle Bilewu ()
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Hussein Adedoyin Adegoke: University of Ilorin
Habeeb Solihu: University of Ilorin
Solomon Olakunle Bilewu: University of Ilorin

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2023, vol. 25, issue 10, No 52, 11885-11903

Abstract: Abstract Waterborne diseases (i.e., diarrhea, dracunculiasis, dysentery, typhoid fever, malaria, scabies, ringworm, cholera, hepatitis B, streptococci, and onchocerciasis) are linked to a significant disease burden worldwide. This work has thus established a relationship between access to improved sanitation, potable water supply, and waterborne disease occurrence in Ondo State, Nigeria, by analyzing the data sourced from the Federal Ministry of Water Resources, Federal Republic of Nigeria. The results showed that there was water scarcity ( 320%) prevalence of waterborne diseases. There also existed a negatively moderate correlation: a substantial relationship between the access to a potable water supply (APW) (%) and the occurrence of waterborne diseases (WBD) (%) in Ondo State and between the occurrence of WBD (%) and improved sanitation (IS) (%) in the State. There existed a low correlation: definite but small relationship between the percentage of people with APW and the percentage of people with IS (%). This study has used the multiple linear regression model to develop a relationship equation using WBD as a dependent variable and APW and IS as independent variables. The first twelve elements (or LGAs) of Ondo State were used for modeling, while the last six were used to validate the results obtained. Equations generated were validated through residuals by observing the conditions of homoscedasticity, normality, and autocorrelation. The Nash–Sutcliffe efficiency was estimated to be about 80%. The spatial variability analysis was also done using inverse distance weighting. Therefore, it can be said that the modeled equation was quite good in predicting past and future waterborne diseases in Ondo State.

Keywords: Improved sanitation; Potable water access; Sustainable Development Goal 6; Waterborne diseases (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10668-022-02558-2

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