Kehinde Adekunle Bashiru - Department of Statistics, Osun State University, Osogbo, Nigeria.
Taiwo Adetola Ojurongbe - Department of Statistics, Osun State University, Osogbo, Nigeria.
Olusola Olayemi Fadipe - Department of Civil Engineering, Osun State University, Osogbo, Nigeria.
Onyedikachi Joshua Okeke - Department of Mathematical and Statistics, University of New Mexico, Albuquerque NMUSA.
Habeeb Abiodun Afolabi - Department of Statistics, Osun State University, Osogbo, Nigeria.
Nureni Olawale Adeboye - Department of Statistics, Osun State University, Osogbo, Nigeria.
Iwa Abiola Akanni - Department of Physics, Osun State University, Osogbo, Nigeria.

Introduction: The probability of contamination is frequently elevated in scenarios where a well and pit latrine coexist, or in situations where heavy rain causes the overflow of open excreta dumps, which in turn flush into wells and surface water. Many possible negative health effects might arise from exposure to various ecological and biological agents in the environment. Therefore, there is a need to examine the risk of disease transmission in Ife North Local Government Area (LGA) of Osun state, using epidemiological, environmental, and ecological factors. Materials and Methods: Geostatistical analysis was used to examine the epidemiological risk, based on various environmental, biological, and ecological variables. The technique employed demonstrated the complexity and multiple parameters that raise the probability of an epidemic. The Shapiro-Wilk test was used to determine whether or not the data were normally distributed. Fuzzy logic, correlation, and spline surface interpolation analysis were conducted using ArcGIS ۱۰.۳ and ENVI ۵.۰ software. Three levels of epidemic risk were used to construct the disease surveillance and projection maps. Results: According to the final susceptibility map, ۸.۰۸ km۲ of ۴۶۰.۱۲ km۲ of the research area were considered to be at very low risk for an epidemic, followed by ۳۶۴.۹۸km۲ of low risk and ۸۷.۰۶km۲ of moderate risk areas, with percentages of ۱.۷۵%, ۷۹.۳۲%, and ۱۸.۹۲%, respectively. Conclusion: A very substantial correlation was observed between biological and ecological components and water-borne diseases. It is, therefore, advised that all water sources be treated before consumption, and community involvement be encouraged in environmental sanitation programs.

Sanitation, Biological Factors, Fuzzy Logic, Epidemiology.