Geospatial analysis of cholera outbreak mapping of prone areas in communities in Ondo State, Southwestern, Nigeria

Abstract

Cholera stands as an abrupt intestinal infection brought about by the consumption of food or water contaminated with comma-shaped bacteria, specifically Vibrio cholerae. The prime objective of this study is to employ Geospatial methodologies in the mapping of cholera occurrences within Ondo State. Geographical Information System (GIS) is utilized to chart the instances of cholera outbreaks. The pivotal aims of this endeavor encompass: · delineating the prevalence of cholera incidents across all Local Government Areas (LGA) within Ondo State; · assessing the trajectory of cholera occurrences within the research locale; · identifying the principal causes of cholera within Ondo State; · Outlining and suggesting potential strategies to counteract the incidence of cholera in the state; and · Forecasting the occurrence of cholera cases over the subsequent 5 to 10 years. Recorded instances of cholera were sourced from the ministry of health, supplemented by the use of questionnaires to amass primary data. The research leveraged both ArcGIS and SPSS as analytical tools. ArcGIS facilitated the mapping of cholera causes and plausible remedies. It is evident that Local Government Areas (LGAs) boasting larger populations recorded more cholera cases compared to their smaller counterparts. Furthermore, it is observed that the highest count of reported cholera cases across all LGAs was reached in 2014. The study establishes the potential for early diagnosis and preventive measures to obliterate the disease and integrate the resulting database into the primary health sector. It was discovered that there’s know significant differences in reported cases of cholera in all the Local Government Areas (LGA) despite the fact that the values looks similar or varies. The study recommends advancing the field of cholera mapping to unveil risk factors and preclude potential cholera outbreaks within the state. Anticipated production of risk maps will identify regions prone to future cholera attacks within the state.