Volume 3, Issue 1, March 2018, Page: 27-37
Fuzzy Logic Model to Forecast Environmental Related Health Diseases in Nigeria
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
Received: Feb. 13, 2018;       Accepted: Apr. 8, 2018;       Published: May 10, 2018
DOI: 10.11648/j.ajmcm.20180301.14      View  709      Downloads  44
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.
Environmental Health, Diseases, Forecast, Model, Fuzzy Logic
To cite this article
Peter Adebayo Idowu, Olufemi Komolafe, 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. doi: 10.11648/j.ajmcm.20180301.14
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
World Health Organisation (2010). Children’s environmental health. Available from: http://www.who.int/ceh/en/index.html [Accessed 10 March, 2017]
David, S. (2010). Cholera kills more than 1,500 people in Nigeria. Available from: http://www.guardian.co.uk/world/2010/oct/26/cholera-nigeria-floods-outbreak-disease [Accessed 12 Feb, 2011]
Idowu P. A., E. R. Adagunodo, and O. A. Esimai (2012). Development of a Web based Environmental Health Tracking System for Nigeria. International Journal of Information Technology and Computer Science (4)7: pp 61-71.
Onwuliri, O. E. (2010). Environmental Health and Climate Change in Nigeria, an invited lectured delivered at the 2010 Annual Public Lecture and Award Ceremony of the Society for Environmental Health of Nigeria held in Collaboration with the Environmental Health Officers Registration Council of Nigeria at the Rock View Hotel, Abuja On 31st Of August, 2010.
Pokhrel, D., and Viraraghavan, T. (2004). Diarrhoeal diseases in Nepal vis-a` -vis water supply and sanitation status, Journal of Water and Health 2(2):71-81
National Bureau of Statistics (2007). Federal Republic of Nigeria, 2006 Population Census, Official Gazatte (FGP 71/52007/2, 500(OL 24): Legal notice on publication of the details of the breakdown of the national and state provisional total 2006 census.
Ahianba, J. E., Dimuna, K. O., and Okogun, G. R. A. (2008). Built Environment Decay and Urban Health in Nigeria, J. Hum. Ecol., 23(3): 259-265.
Campbell-Lendrum, D. et al. (2007). Environmental Burden of Diseases Series. Geneva, WHO Publications.
World Health Organisation (2007). Updated and Air Quality Guidelines, Microsoft Corporation. Available from: www.euro.who.int/air/activities/20050222_2 [Accessed 04March 2017].
Usigbe, L. (2008). HIV/AIDS: 8.2 Nigerian kids to be orphaned 2010. Nigerian Vanguard Available from: http://www.vanguardngr.com/content/view/22865/47/ [Accessed May 10, 2017]
World Health Organisation (2004). Cholera in Nigeria. Globla Alert and Response. Available from http://www.who.int/csr/don/2004_12_03/en/index.html [Accessed 09 March, 2011]
World Health Organisation (2009). Meningococcal in Nigeria. Available from: http://www.who.int/csr/don/2009_02_19/en/index.html [Accessed May 7, 2017]
Idowu, P. A., Adagunodo, E. R. and Esimai, O. A. (2012). Development of a Web based Environmental Health Tracking System for Nigeria. International Journal of Information Technology and Computer Science (4)7: pp 61-71.
Paulson, T. (2001). A breakdown of our primary health care system, Seattle Post-Intelligence. Available from: http://www.seattlepi.com/africa/nigeria22.shtml [Accessed 2 March, 2017]
Remlex, D. (2007). Information and Communication Technology in Chronic Disease care. Medical Care Research and Review, 64 (2). pp. 123-147
Idowu, P., Cornford, D., and Bastin, L. (2008). Health Informatics Deployment in Nigeria. Journal of Health Informatics in Developing Countries, 2(1):20-21.
Idowu P. A. (2012) A Spatial Data Model for HIV/AIDS Surveillance and Monitoring in Nigeria. International Journal of E-Health and Medical Communications. 3(2): 66-84.
Idowu Peter Adebayo (2017) Predictive Model for the Classification of Hypertension Risk Using Decision Trees Algorithm, American Journal of Mathematical and Computer Modelling. 2(2):48-59.
Egejuru Ngozi Chidozie, Mhambe Priscilla Dooshima, Balogun Jeremiah Ademola, Femi Komolafe, Idowu Peter Adebayo (2017). Osteoporosis Risk Predictive Model Using Supervised Machine Learning Algorithms, Science Research. 5(6): 78-87.
Mhambe, P. D., Egejuru, N. C., Balogun, J. A., Olusanya, O. S. and Idowu, P. A. A (2018) Predictive Model for the Risk of Mental Illness in Nigeria Using Data Mining. International Journal of Immunology. 6(1): 5-16.
Browse journals by subject