In order to analyze the data SPSS software (version 16.0), MATLAB software (version 8.1), and GIS software (version 10.4) were used. Additionally, the multiple regression method and multi-layer perceptron neural network model were used to predict the incidence of human brucellosis. Monthly meteorological data and the incidence rate of human brucellosis during 2009-2015 were collected and their correlation was studied using Pearson's correlation coefficient. The present study aimed to investigate the effect of climate on its incidence and determine the areas prone to the infection. Human brucellosis is widespread in Fars province.
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