Prevalence of Diseases of Cattle in Sirajgonj District in Bangladesh

Md Golam Haider, Md. Taimur Islam and Ziban Chandra Das
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Md Golam Haider: Department of Pathobiology, Gazipur Agricultural University, Gazipur 1706, Bangladesh
Md. Taimur Islam: Department of Pathobiology, Gazipur Agricultural University, Gazipur 1706, Bangladesh
Ziban Chandra Das: Department of Gynecology, Obstetrics and Reproductive health, Gazipur Agricultural University, Gazipur 1706, Bangladesh

International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 6, 1145-1159

Abstract: The present study was conducted to ascertain the prevalence of diseases of cattle in Sirajganj district of Bangladesh, from the period of July, 2020 to June, 2021. During the study period a total of 26040 cattle population were recorded secondary data from 9 upazila veterinary hospital’s patient register book, in Sirajganj district. Among them the number of affected male cattle were 9114 ad female cattle were 16926. In this study, the effect of age, sex and season were considered in disease prevalence and all the data were collected passively from the patient register book. Primarily the diseases were categorized into eight groups, where the highest disease prevalence found in case of parasitic and protozoal diseases (37.696%), followed by infectious diseases 25.123%, respiratory disorder 3.026%, digestive disorder 8.848%, metabolic disorder 4.782%, reproductive diseases 10.261%, surgical cases 8.587% and others 1.678%. The second highest disease prevalence found in case of infectious diseases and that were 25.123%. The overall disease prevalence was 35% in male and 65% in female, respectively. On the other hands prevalence of diseases were higher in 3 and above aged cattle (55.876%), where followed by 0-1 year of age (26.378%) and the lowest was1 to 3 years of age (17.746%). In considering season, the highest prevalence was seen in summer (37.923%), followed by winter (32.201%) and the lowest was in rainy season (29.877%). In conclusion, the results of the study provided information on disease outbreak which may help in designing control measures for the prevalent diseases in the study area.

Date: 2025
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