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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
Authors:Anuwat Wiratsudakul  Mathilde Cécile Paul  Dominique Joseph Bicout  Thanawat Tiensin  Wannapong Triampo  Karine Chalvet-Monfray
Affiliation:1. The Monitoring and Surveillance Center for Zoonotic Diseases in Wildlife and Exotic Animals, Faculty of Veterinary Science, Mahidol University, 999 Phuttamonthon 4 Rd., Salaya, Phuttamonthon, Nakhon Pathom, 73170, Thailand
2. INRA, UR346 d’Epidémiologie Animale, Université de Lyon VetAgro Sup Campus Vétérinaire de Lyon, 1 Avenue Bourgelat, 69280, Marcy-l’étoile, France
3. ENVT/INRA, UMR 1225-IHAP, INP Université de Toulouse, 23 Chemin des Capelles, BP87614, 31076, Toulouse, France
4. Biomathematics and Epidemiology Unit, EPSP-TIMC, UMR 5525 CNRS, Joseph Fourier University and VetAgro Sup Campus Vétérinaire de Lyon, 1 Avenue Bourgelat, 69280, Marcy-l’étoile, France
5. Division of Livestock Foreign Affairs, Department of Livestock Development, Ministry of Agriculture and Cooperatives, 69/1 Phayathai Rd., Ratchathewi, Bangkok, 10400, Thailand
6. Institute for Innovative Learning, and Biophysics Group, Department of Physics, Faculty of Science, Mahidol University, 999 Phuttamonthon 4 Rd., Salaya, Phuttamonthon, Nakhon Pathom, 73170, Thailand
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.
Keywords:
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