Assessment of hygienic conditions of live bird markets on avian influenza in Chittagong metro, Bangladesh

Sayeed, Md. Abu; Smallwood, Casey; Imam, Tasneem; Mahmud, Rashed; Hasan, Rubyath Binte; Hasan, Mahmudul; Anwer, M. Sawkat; Rashid, Mamun Ur; Hoque, Md. Ahasanul

doi:10.1016/j.prevetmed.2017.04.009

Cited by 40 publications

(42 citation statements)

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“…However, even if a small number of LBMs is to be targeted, the effective implementation of such control strategies may prove challenging. Although poor hygiene in Bangladeshi LBMs was associated with a higher likelihood to detect AIVs in one study [52], studies have shown that only a limited number of biosecurity measures have been implemented in LBMs so far [49,59]. Furthermore, one study revealed that those limited changes had not been sufficient to reduce the level of AIV contamination in LBMs with better biosecurity measures compared to LBMs with less or no biosecurity measures in place [49].…”

Section: Discussionmentioning

confidence: 94%

“…In Bangladesh, HPAI H5N1 was more frequently detected in ducks than in chickens [48,53], and in deshi than in broiler chickens [48]. In a recent study, Bangladeshi LBM stalls selling ducks alongside other poultry types were more than twice as likely to test positive for AIVs as stalls that didn't sell any ducks [52]. While ducks are known to play an important role in HPAI H5N1 spread and maintenance, in particular due to their ability to remain asymptomatic [61][62][63], the structure of the Bangladeshi poultry trading network may further foster their impact on the epidemiology of the disease.…”

Section: Discussionmentioning

confidence: 99%

“…The high level of contamination of Bangladeshi LBMs with a variety of AIV strains [49][50][51][52][53] and the association between LBM density and the risk of HPAI H5N1 outbreaks in Bangladeshi farms [18] suggests that AIV surveillance and control programmes implemented in LBMs could be effective for reducing disease risk for the production sector, as well as for humans. Furthermore, the position of nodes, either live animal markets or farms, in networks of potentially infectious contacts has been associated with their roles in the spread of pathogens [14,54].…”

Section: Discussionmentioning

confidence: 99%

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A large-scale study of a poultry trading network in Bangladesh: implications for control and surveillance of avian influenza viruses

Moyen

Ahmed²,

Gupta

et al. 2018

BMC Vet Res

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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.Electronic supplementary materialThe online version of this article (10.1186/s12917-018-1331-5) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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A large-scale study of a poultry trading network in Bangladesh: implications for control and surveillance of avian influenza viruses

Moyen

Ahmed²,

Gupta

et al. 2018

BMC Vet Res

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“…Indeed, rest days/nights are an important component of long‐term AIV control but are not sufficient alone to eliminate infection (Kung et al, ). Furthermore, risk factor studies in LBMs have shown that having a greater variety of poultry species, including ducks being sold alongside other species, having poor sanitary conditions, storing poultry in floor pens instead of cages and having ≥1 wholesaler trading in LBMs, all increase the odds of having AIV‐infected poultry and/or having AIV‐contaminated environments (Kim et al, ; Kirunda et al, ; Santhia et al, ; Sayeed et al, ; Wang et al, ).…”

Section: Introductionmentioning

confidence: 99%

Poultry trading behaviours in Vietnamese live bird markets as risk factors for avian influenza infection in chickens

Sealy

Fournié

Trang

et al. 2019

Transbound Emerg Dis

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Vietnamese poultry are host to co‐circulating subtypes of avian influenza viruses, including H5N1 and H9N2, which pose a great risk to poultry productivity and to human health. AIVs circulate throughout the poultry trade network in Vietnam, with live bird markets being an integral component to this network. Traders at LBMs exhibit a variety of trading practices, which may influence the transmission of AIVs. We identified trading practices that impacted on AIV prevalence in chickens marketed in northern Vietnamese LBMs. We generated sequencing data for 31 H9N2 and two H5N6 viruses. Viruses isolated in the same LBM or from chickens sourced from the same province were genetically closer than viruses isolated in different LBMs or from chickens sourced in different provinces. The position of a vendor in the trading network impacted on their odds of having AIV‐infected chickens. Being a retailer and purchasing chickens from middlemen was associated with increased odds of infection, whereas odds decreased if vendors purchased chickens directly from large farms. Odds of infection were also higher for vendors having a greater volume of ducks unsold per day. These results indicate how the spread of AIVs is influenced by the structure of the live poultry trading network.

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“…Birds of different types and from different geographic areas are introduced daily into LBMs and might be caged together, promoting local transmission of multiple virus subtypes and generating opportunities for reassortment (10)(11)(12). Surveys and routine surveillance have described the abundance and diversity of avian influenza A viruses (AIVs) in LBMs in AIV-endemic countries, including Bangladesh (1,4,11,(13)(14)(15)(16)(17)(18)(19)(20)(21). However, only the proportion of positive samples is usually reported, without accounting for the hierarchical data structure, especially the clustering of sampled poultry per LBM.…”

mentioning

confidence: 99%

Prevalence of Avian Influenza A(H5) and A(H9) Viruses in Live Bird Markets, Bangladesh

Kim¹,

Biswas²,

Giasuddin³

et al. 2018

Emerg. Infect. Dis.

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We conducted a cross-sectional study in live bird markets (LBMs) in Dhaka and Chittagong, Bangladesh, to estimate the prevalence of avian influenza A(H5) and A(H9) viruses in different types of poultry and environmental areas by using Bayesian hierarchical logistic regression models. We detected these viruses in nearly all LBMs. Prevalence of A(H5) virus was higher in waterfowl than in chickens, whereas prevalence of A(H9) virus was higher in chickens than in waterfowl and, among chicken types, in industrial broilers than in cross-breeds and indigenous breeds. LBMs with >1 wholesaler were more frequently contaminated by A(H5) virus than retail-only LBMs. Prevalence of A(H9) virus in poultry and level of environmental contamination were also higher in LBMs with >1 wholesaler. We found a high level of circulation of both avian influenza viruses in surveyed LBMs. Prevalence was influenced by type of poultry, environmental site, and trading.

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Assessment of hygienic conditions of live bird markets on avian influenza in Chittagong metro, Bangladesh

Cited by 40 publications

References 21 publications

A large-scale study of a poultry trading network in Bangladesh: implications for control and surveillance of avian influenza viruses

A large-scale study of a poultry trading network in Bangladesh: implications for control and surveillance of avian influenza viruses

Poultry trading behaviours in Vietnamese live bird markets as risk factors for avian influenza infection in chickens

Prevalence of Avian Influenza A(H5) and A(H9) Viruses in Live Bird Markets, Bangladesh

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