Publication:
Modeling the dynamics of backyard chicken flows in traditional trade networks in Thailand: Implications for surveillance and control of avian influenza

dc.contributor.authorAnuwat Wiratsudakulen_US
dc.contributor.authorMathilde Cécile Paulen_US
dc.contributor.authorDominique Joseph Bicouten_US
dc.contributor.authorThanawat Tiensinen_US
dc.contributor.authorWannapong Triampoen_US
dc.contributor.authorKarine Chalvet-Monfrayen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherINRA Institut National de La Recherche Agronomiqueen_US
dc.contributor.otherUniversite de Toulouseen_US
dc.contributor.otherEPSP-TIMCen_US
dc.contributor.otherThailand Ministry of Agriculture and Cooperativesen_US
dc.date.accessioned2018-11-09T01:48:29Z
dc.date.available2018-11-09T01:48:29Z
dc.date.issued2014-01-01en_US
dc.description.abstractIn Southeast Asia, traditional poultry marketing chains have been threatened by epidemics caused by the highly pathogenic avian influenza H5N1 (HPAI H5N1) virus. In Thailand, the trade of live backyard chickens is based on the activities of traders buying chickens from villages and supplying urban markets with chicken meat. This study aims to quantify the flows of chickens traded during a 1-year period in a province of Thailand. A compartmental stochastic dynamic model was constructed to illustrate trade flows of live chickens from villages to slaughterhouses. Live poultry movements present important temporal variations with increased activities during the 15 days preceding the Chinese New Year and, to a lesser extent, other festivals (Qingming Festival, Thai New Year, Hungry Ghost Festival, and International New Year). The average distance of poultry movements ranges from 4 to 25 km, defining a spatial scale for the risk of avian influenza that spread through traditional poultry marketing chains. Some characteristics of traditional poultry networks in Thailand, such as overlapping chicken supply zones, may facilitate disease diffusion over longer distances through combined expansion and relocation processes. This information may be of use in tailoring avian influenza and other emerging infectious poultry disease surveillance and control programs provided that the cost-effectiveness of such scenarios is also evaluated in further studies. © 2014 Springer Science+Business Media Dordrecht.en_US
dc.identifier.citationTropical Animal Health and Production. Vol.46, No.5 (2014), 845-853en_US
dc.identifier.doi10.1007/s11250-014-0575-8en_US
dc.identifier.issn15737438en_US
dc.identifier.issn00494747en_US
dc.identifier.other2-s2.0-84900807431en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/33163
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84900807431&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectVeterinaryen_US
dc.titleModeling the dynamics of backyard chicken flows in traditional trade networks in Thailand: Implications for surveillance and control of avian influenzaen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84900807431&origin=inwarden_US

Files

Collections