Prevalence of Poultry Chicken Diseases Outbreak in the College of Agriculture Farm, Yelwa Bauchi State, Nigeria

Abstract

This study aimed to investigate the seasonal patterns of poultry disease outbreaks and develop a predictive model for poultry birds' production in the College of Agriculture Farm Yelwa, Bauchi State, Nigeria. Data on the occurrence of poultry diseases was collected from the veterinary clinic on the farm, including the date of diagnosis, type of disease, and the number of birds affected. The study used a longitudinal study design, collecting data for five years, from 2018 to 2022. Simple linear regression analysis was used to analyze the data. The findings indicated that birds raised and infected with diseases have a substantial impact on the mortality rate of poultry birds, and that the yearly season considerably forecasts the total number of chicks kept in the farm. A predictive model was developed to estimate the number of birds stocked in future samples based on the yearly season, which explained 31.90% of the variance in the number of birds stocked. The study's findings have implications for researchers, rearers and veterinarians, as it can help in the prediction of disease outbreaks, and aid in taking preventive measures to control disease spread. Further research can be conducted to incorporate more variables into the predictive model to improve its accuracy.