Publication: The dynamics of avian influenza: Individual-based model with intervention strategies in traditional trade networks in Phitsanulok province, Thailand
Issued Date
2016-01-01
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ISSN
17486718
1748670X
1748670X
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2-s2.0-84964814025
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Mahidol University
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SCOPUS
Bibliographic Citation
Computational and Mathematical Methods in Medicine. Vol.2016, (2016)
Suggested Citation
Chaiwat Wilasang, Anuwat Wiratsudakul, Sudarat Chadsuthi The dynamics of avian influenza: Individual-based model with intervention strategies in traditional trade networks in Phitsanulok province, Thailand. Computational and Mathematical Methods in Medicine. Vol.2016, (2016). doi:10.1155/2016/6832573 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/43171
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Title
The dynamics of avian influenza: Individual-based model with intervention strategies in traditional trade networks in Phitsanulok province, Thailand
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Abstract
© 2016 Chaiwat Wilasang et al. Avian influenza virus subtype H5N1 is endemic to Southeast Asia. In Thailand, avian influenza viruses continue to cause large poultry stock losses. The spread of the disease has a serious impact on poultry production especially among rural households with backyard chickens. The movements and activities of chicken traders result in the spread of the disease through traditional trade networks. In this study, we investigate the dynamics of avian influenza in the traditional trade network in Phitsanulok Province, Thailand. We also propose an individual-based model with intervention strategies to control the spread of the disease. We found that the dynamics of the disease mainly depend on the transmission probability and the virus inactivation period. This study also illustrates the appropriate virus disinfection period and the target for intervention strategies on traditional trade network. The results suggest that good hygiene and cleanliness among household traders and trader of trader areas and ensuring that any equipment used is clean can lead to a decrease in transmission and final epidemic size. These results may be useful to epidemiologists, researchers, and relevant authorities in understanding the spread of avian influenza through traditional trade networks.