ArticleBMC veterinary research2018
A large-scale study of a poultry trading network in Bangladesh: implications for control and surveillance of avian influenza viruses.
Article in BMC veterinary research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Role of biosecurity practices in antimicrobial use on commercial poultry farms: One health implications for AMR mitigation in Bangladesh.One health (Amsterdam, Netherlands) · 2026Article
- Zoonotic disease risk at traditional food markets.Journal of virology · 2025Review
- Article
- Harnessing Ethnographic Methods to Explore the Epidemiological Significance of Livestock Trading Practices: The Case of Chennai's Broiler Chicken Trade.Transboundary and emerging diseases · 2025Article
- Amplification of avian influenza virus circulation along poultry marketing chains in Bangladesh: A controlled field experiment.Preventive veterinary medicine · 2024Article
- Farm biosecurity practices affecting avian influenza virus circulation in commercial chicken farms in Bangladesh.One health (Amsterdam, Netherlands) · 2024Article
- EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks.PLoS computational biology · 2024Article
- Association of biosecurity and hygiene practices with avian influenza A/H5 and A/H9 virus infections in turkey farms.Frontiers in veterinary science · 2024Article
- Determinants for the presence of avian influenza virus in live bird markets in Bangladesh: Towards an easy fix of a looming one health issue.One health (Amsterdam, Netherlands) · 2023Article
- Potential risk zones and climatic factors influencing the occurrence and persistence of avian influenza viruses in the environment of live bird markets in Bangladesh.One health (Amsterdam, Netherlands) · 2023Article
- Social and cognitive factors influencing commercial chicken farmers' antimicrobial usage in Bangladesh.Scientific reports · 2023Article
- An overview of avian influenza surveillance strategies and modes.Science in One Health · 2023Review
- The One Health Epidemiology of Avian Influenza Infection in Bangladesh: Lessons Learned from the Past 15 Years.Transboundary and emerging diseases · 2023Review
- H9N2 avian influenza virus dispersal along Bangladeshi poultry trading networks.Virus evolution · 2023Article
- Annual trading patterns and risk factors of avian influenza A/H5 and A/H9 virus circulation in turkey birds (Frontiers in veterinary science · 2023Article
- Village and farm-level risk factors for avian influenza infection on backyard chicken farms in Bangladesh.Scientific reports · 2022Article
- Dynamics of inter-farm transmission of highly pathogenic avian influenza H5N6 integrating vehicle movements and phylogenetic information.Scientific reports · 2021Article
- Unraveling the Contact Network Patterns between Commercial Turkey Operation in North Carolina and the Distribution ofPathogens (Basel, Switzerland) · 2021Article
- Frequency and patterns of exposure to live poultry and the potential risk of avian influenza transmission to humans in urban Bangladesh.Scientific reports · 2021Article
- Avian influenza transmission risk along live poultry trading networks in Bangladesh.Scientific reports · 2021Article
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10 authors.
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Abstract
backgroundSince its first report in 2007, avian influenza (AI) has been endemic in Bangladesh. While live poultry marketing is widespread throughout the country and known to influence AI dissemination and persistence, trading patterns have not been described. The aim of this study is to assess poultry trading practices and features of the poultry trading networks which could promote AI spread, and their potential implications for disease control and surveillance. Data on poultry trading practices was collected from 849 poultry traders during a cross-sectional survey in 138 live bird markets (LBMs) across 17 different districts of Bangladesh. The quantity and origins of traded poultry were assessed for each poultry type in surveyed LBMs. The network of contacts between farms and LBMs resulting from commercial movements of live poultry was constructed to assess its connectivity and to identify the key premises influencing it.
resultsPoultry trading practices varied according to the size of the LBMs and to the type of poultry traded. Industrial broiler chickens, the most commonly traded poultry, were generally sold in LBMs close to their production areas, whereas ducks and backyard chickens were moved over longer distances, and their transport involved several intermediates. The poultry trading network composed of 445 nodes (73.2% were LBMs) was highly connected and disassortative. However, the removal of only 5.6% of the nodes (25 LBMs with the highest betweenness scores), reduced the network's connectedness, and the maximum size of output and input domains by more than 50%.
conclusionsPoultry types need to be discriminated in order to understand the way in which poultry trading networks are shaped, and the level of risk of disease spread that these networks may promote. Knowledge of the network structure could be used to target control and surveillance interventions to a small number of LBMs.
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