Environmental Sampling for Avian Influenza Virus A (H5N1) in Live-Bird Markets, Indonesia

Indriani, Risa; Samaan, Gina; Gultom, Anita; Loth, Leo; Irianti, Sri; Adjid, Rma; Dharmayanti, Ni Luh Putu Indi; Weaver, James H.; Mumford, Elizabeth; Lokuge, Kamalini; Kelly, Paul; Darminto, Darminto

doi:10.3201/eid1612.100402

Cited by 124 publications

(167 citation statements)

References 19 publications

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“…Along trade routes, live bird markets (LBMs) act as hubs for traders, yet LBMs frequently are found to be contaminated in diseaseepidemic and -endemic areas (8)(9)(10)(11)(12). Here, poultry traders can mix and potentially transfer the virus either by trading infected poultry or by sharing contaminated equipment.…”

mentioning

confidence: 99%

Interventions for avian influenza A (H5N1) risk management in live bird market networks

Fournié

Guitian

Desvaux³

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

121

107

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Highly pathogenic avian influenza virus subtype H5N1 is endemic in Asia, with live bird trade as a major disease transmission pathway. A cross-sectional survey was undertaken in northern Vietnam to investigate the structure of the live bird market (LBM) contact network and the implications for virus spread. Based on the movements of traders between LBMs, weighted and directed networks were constructed and used for social network analysis and individual-based modeling. Most LBMs were connected to one another, suggesting that the LBM network may support large-scale disease spread. Because of cross-border trade, it also may promote transboundary virus circulation. However, opportunities for disease control do exist. The implementation of thorough, daily disinfection of the market environment as well as of traders’ vehicles and equipment in only a small number of hubs can disconnect the network dramatically, preventing disease spread. These targeted interventions would be an effective alternative to the current policy of a complete ban of LBMs in some areas. Some LBMs that have been banned still are very active, and they likely have a substantial impact on disease dynamics, exhibiting the highest levels of susceptibility and infectiousness. The number of trader visits to markets, information that can be collected quickly and easily, may be used to identify LBMs suitable for implementing interventions. This would not require prior knowledge of the force of infection, for which laboratory-confirmed surveillance would be necessary. These findings are of particular relevance for policy development in resource-scarce settings.

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mentioning

confidence: 99%

Interventions for avian influenza A (H5N1) risk management in live bird market networks

Fournié

Guitian

Desvaux³

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

121

107

View full text Add to dashboard Cite

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“…Virus can continue to survive in the tissues up for 5-6 days post-slaughter. (Luber et al, 2006;Cohen et al, 2007;Nicholson, Groves and Chambers, 2005;Busquets et al, 2010;Bauer et al, 2010;Da Silva, 2014b;Indriani et al, 2010;Cogan, Bloomfield and Humphrey, 1999).…”

Section: Processingmentioning

confidence: 99%

“…(Logue and Nde, 2007;Bauer et al, 2010;Da Silva, 2014b;Indriani et al, 2010;Cogan, Bloomfield and Humphrey, 1999).…”

Section: /Retailingmentioning

confidence: 99%

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Development of Disease‐specific, Context‐specific Surveillance Models: Avian Influenza (H5N1)‐Related Risks and Behaviours in African Countries

Fasina

Njage

Ali

et al. 2015

Zoonoses and Public Health

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Summary Avian influenza virus (H5N1) is a rapidly disseminating infection that affects poultry and, potentially, humans. Because the avian virus has already adapted to several mammalian species, decreasing the rate of avian–mammalian contacts is critical to diminish the chances of a total adaptation of H5N1 to humans. To prevent the pandemic such adaptation could facilitate, a biology‐specific disease surveillance model is needed, which should also consider geographical and socio‐cultural factors. Here, we conceptualized a surveillance model meant to capture H5N1‐related biological and cultural aspects, which included food processing, trade and cooking‐related practices, as well as incentives (or disincentives) for desirable behaviours. This proof of concept was tested with data collected from 378 Egyptian and Nigerian sites (local [backyard] producers/live bird markets/village abattoirs/commercial abattoirs and veterinary agencies). Findings revealed numerous opportunities for pathogens to disseminate, as well as lack of incentives to adopt preventive measures, and factors that promoted epidemic dissemination. Supporting such observations, the estimated risk for H5N1‐related human mortality was higher than previously reported. The need for multidimensional disease surveillance models, which may detect risks at higher levels than models that only measure one factor or outcome, was supported. To develop efficient surveillance systems, interactions should be captured, which include but exceed biological factors. This low‐cost and easily implementable model, if conducted over time, may identify focal instances where tailored policies may diminish both endemicity and the total adaptation of H5N1 to the human species.

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“…2,3 In 2006 the World Health Organization (WHO) developed a guideline -A guide to healthy food markets -to reduce contamination with and transmission of A(H5N1) virus in live bird markets. 4 The guideline lists 10 control measures for the poultry area of markets, the main aims of which are to improve the environment and ensure safe food-handling practices.…”

Section: Introductionmentioning

confidence: 99%

Application of a healthy food markets guide to two Indonesian markets to reduce transmission of “avian flu”

Samaan

Hendrawati

Taylor

et al. 2012

Bull. World Health Organ.

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Environmental Sampling for Avian Influenza Virus A (H5N1) in Live-Bird Markets, Indonesia

Abstract: TOC Summary: This method is time and labor efficient and minimizes potential risk for virus aerosolization.

Cited by 124 publications

References 19 publications

Interventions for avian influenza A (H5N1) risk management in live bird market networks

Interventions for avian influenza A (H5N1) risk management in live bird market networks

Development of Disease‐specific, Context‐specific Surveillance Models: Avian Influenza (H5N1)‐Related Risks and Behaviours in African Countries

Application of a healthy food markets guide to two Indonesian markets to reduce transmission of “avian flu”

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