American Journal of Mathematical and Computer Modelling
Volume 3, Issue 1, March 2018, Pages: 27-37
Received: Feb. 13, 2018;
Accepted: Apr. 8, 2018;
Published: May 10, 2018
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Peter Adebayo Idowu, Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria
Olufemi Komolafe, Engineering Materials Development Institute, Federal Ministry of Science & Technology, Akure, Nigeria
Racheal Adefunke Oladejo, Department of Computer Science, Ogun State Institute of Technology, Igbesa, Ogun State, Nigeria
This paper identified the risk factors for environmental health related diseases and formulated a fuzzy logic based predictive model based on the identified variables. Related literatures were reviewed so as to understand the body of knowledge surrounding environmental health related diseases and their corresponding risk factors, interviews with community health officers were conducted in order to validate the identified variables. Fuzzy logic was used to formulate the predictive model using Matlab Fuzzy logic tool box. Data was collected from five different states in Nigeria. The result showed that there are cases of environmental related diseases in the areas where there is no potable water and in locations that lack good toilet facilities. In the areas where there is no toilet facility or where bucket and bush are used as toilet, there are always cases of cholera. In these areas during the rainy season cholera outbreaks are common occurrences. All these points to fact that, if there is a good environmental health tracking system with predictive features, then environmental health officers would be able to easily monitor, manage and track any area which may be prone to any of these environmental health diseases.
Peter Adebayo Idowu,
Racheal Adefunke Oladejo,
Fuzzy Logic Model to Forecast Environmental Related Health Diseases in Nigeria, American Journal of Mathematical and Computer Modelling.
Vol. 3, No. 1,
2018, pp. 27-37.
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