DEVELOPMENT OF FUZZY LOGIC MODEL FOR PREDICTING THE LIKELIHOOD OCCURRENCE AND PREVENTION OF MONKEYPOX IN SOUTH EAST NIGERIA

Journal Title: World Journal of Engineering Research and Technology - Year 2018, Vol 4, Issue 5

Abstract

Monkeypox disease is contacted from a virus transmitted to humans from animals) with symptoms in humans similar to those seen in the past in smallpox patients, although less severe. From literature, a number of predictive models have been in existence that dealt with different related problems. However, these models did not take into consideration some factors that cause Monkeypox disease after eating bush meat. Hence, this research developed a Fuzzy Logic (FL) model which is characterized by eating monkey meat, contact with infected person and eating other bush meat not properly cocked to forecast the likelihood of monkeypox diseases.

Authors and Affiliations

A. A. Aroyehun

Keywords

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  • EP ID EP662790
  • DOI -
  • Views 172
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How To Cite

A. A. Aroyehun (2018). DEVELOPMENT OF FUZZY LOGIC MODEL FOR PREDICTING THE LIKELIHOOD OCCURRENCE AND PREVENTION OF MONKEYPOX IN SOUTH EAST NIGERIA. World Journal of Engineering Research and Technology, 4(5), 66-88. https://europub.co.uk/articles/-A-662790