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

Overview of attention for article published in Tropical Animal Health and Production, March 2014
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Title
Modeling the dynamics of backyard chicken flows in traditional trade networks in Thailand: implications for surveillance and control of avian influenza
Published in
Tropical Animal Health and Production, March 2014
DOI 10.1007/s11250-014-0575-8
Pubmed ID
Authors

Anuwat Wiratsudakul, Mathilde Cécile Paul, Dominique Joseph Bicout, Thanawat Tiensin, Wannapong Triampo, Karine Chalvet-Monfray

Abstract

In 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
France 1 1%
Australia 1 1%
United Kingdom 1 1%
Philippines 1 1%
Poland 1 1%
Unknown 71 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 21%
Student > Ph. D. Student 10 13%
Student > Bachelor 9 12%
Student > Master 8 10%
Other 7 9%
Other 16 21%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 19%
Veterinary Science and Veterinary Medicine 13 17%
Medicine and Dentistry 8 10%
Computer Science 6 8%
Mathematics 5 6%
Other 17 22%
Unknown 13 17%