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Biosecurity Conditions in Small Commercial Chicken Farms, Bangladesh 2011-2012
N A Rimi1, R Sultana2, M Muhsina2
1Program on Emerging Infections, Infectious Diseases Division, icddr,b, 68, Shaheed Tajuddin Ahmed Sharani, Mohakhali, Dhaka, 1212, Bangladesh. nadiarimi@icddrb.org.
Ecohealth
|March 15, 2017
Summary
Biosecurity on Bangladeshi chicken farms is poor, with limited segregation and cleaning practices. Farmers prioritize other diseases over avian influenza, influenced by local vendors, suggesting a need for cost-effective interventions.
Area of Science:
- Veterinary Public Health
- Animal Husbandry
- Disease Ecology
Background:
- Highly pathogenic avian influenza (H5N1) is endemic in Bangladesh poultry.
- Small commercial farms face challenges in implementing effective biosecurity measures.
- Understanding farmer perceptions is crucial for disease control strategies.
Purpose of the Study:
- To assess biosecurity conditions on small commercial chicken farms in Bangladesh.
- To investigate farmers' perceptions and understanding of avian influenza (AI) and biosecurity.
- To identify factors influencing biosecurity practices and farmer awareness.
Main Methods:
- Conducted observational studies, in-depth interviews, and group discussions with 16 poultry farmers.
- Interviewed seven local feed vendors in two districts.
- Data collected between 2011 and 2012.
Main Results:
- Farms lacked complete segregation from external sources (people, animals, wild birds, rodents).
- Limited cleaning and disinfection practices were observed; untreated feces were used as fertilizer/feed.
- Farmers expressed greater concern for Newcastle disease and infectious bursal disease than AI, with awareness influenced by local vendors.
Conclusions:
- Suboptimal biosecurity practices and low awareness of avian influenza risks are prevalent.
- Interventions should consider farmers' economic motivations and focus on cost-effective, practical biosecurity measures.
- Addressing knowledge gaps influenced by local vendors is essential for improving AI control.
