African Journal of
Microbiology Research

  • Abbreviation: Afr. J. Microbiol. Res.
  • Language: English
  • ISSN: 1996-0808
  • DOI: 10.5897/AJMR
  • Start Year: 2007
  • Published Articles: 5211

Full Length Research Paper

A fuzzy logic based prediction method for determining Brucellosis seroprevalence

  Neval Berrin ARSERÄ°M1*, Bilal GÜMÜÅž2 and Adil ALAN3
  1Microbiology Department, Faculty of Veterinary Medicine, Dicle University, Diyarbakır, Turkey. 2Electrical and Electronic Engineering Department, Dicle University, Diyarbakır, Turkey. 3Diyarbakır Food, Agriculture and Animal Office, Diyarbakır, Turkey.
Email: [email protected]

  •  Accepted: 22 July 2013
  •  Published: 26 July 2013

Abstract

 

Brucellosis is an important zoonotic disease worldwide and it affects the health of animals, human and the livestock incomes negatively. Although it is an animal illness, it infects human by contact with infected animals or consuming contaminated milk or milk products. Modeling studies established to obtain seroprevalance of a disease is important in order to determine statistics and measuring strategies for this disease. Although fieldworks can represent data for a disease in a specific region, forming a model suits with associated fieldworks can offer a global strategy for it and this model can be used anywhere else. In this study, a model which is based on fuzzy logic and predicts seroprevalance of brucellosis in a specific localization is formed. In this model, fuzzy logic based prediction method for brucellosis seroprevalance is used for the first time. This model is used for determining brucellosis seroprevalance in sheep and goats in Diyarbakır and Van regions. Also, the results of the model show good fit with the data obtained in the regional studies, done in the same regions.

 

Key words: Brucellosis, seroprevalance, fuzzy logic.