Literature DB >> 23528640

Social network analysis used to assess the relationship between the spread of avian influenza and movement patterns of backyard chickens in Ratchaburi, Thailand.

Chaithep Poolkhet1, Pornsri Chairatanayuth, Sukanya Thongratsakul, Suwicha Kasemsuwan, Theera Rukkwamsuk.   

Abstract

In this study, we describe the movement and trading patterns of the backyard chicken in Ratchaburi, Thailand by using social network analysis with egocentric approach. From questionnaire results, we found that there is a close relationship between chicken owners' houses and fresh markets, and we concluded that this relationship needs attention from authorities to prevent future outbreaks of avian flu. Control measures should be applied over pathways to prevent and control highly pathogenic avian influenza subtype H5N1 in the backyard farming system. Results of our study may be useful to relevant authorities and researchers seeking to understand how H5N1 spreads in Ratchaburi. This may reflect on the spread of H5N1 throughout Thailand.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23528640     DOI: 10.1016/j.rvsc.2013.02.016

Source DB:  PubMed          Journal:  Res Vet Sci        ISSN: 0034-5288            Impact factor:   2.534


  7 in total

1.  Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies.

Authors:  G L Chaters; P C D Johnson; S Cleaveland; J Crispell; W A de Glanville; T Doherty; L Matthews; S Mohr; O M Nyasebwa; G Rossi; L C M Salvador; E Swai; R R Kao
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-08       Impact factor: 6.237

2.  Dynamics of backyard chicken flows in traditional trade networks in Thailand.

Authors:  Beuy Joob; Viroj Wiwanitkit
Journal:  Trop Anim Health Prod       Date:  2014-10-12       Impact factor: 1.559

3.  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
Journal:  Trop Anim Health Prod       Date:  2014-03-26       Impact factor: 1.559

4.  A large-scale study of a poultry trading network in Bangladesh: implications for control and surveillance of avian influenza viruses.

Authors:  N Moyen; G Ahmed; S Gupta; T Tenzin; R Khan; T Khan; N Debnath; M Yamage; D U Pfeiffer; G Fournie
Journal:  BMC Vet Res       Date:  2018-01-12       Impact factor: 2.741

5.  Assessing the probability of introduction and spread of avian influenza (AI) virus in commercial Australian poultry operations using an expert opinion elicitation.

Authors:  Mini Singh; Jenny-Ann Toribio; Angela Bullanday Scott; Peter Groves; Belinda Barnes; Kathryn Glass; Barbara Moloney; Amanda Black; Marta Hernandez-Jover
Journal:  PLoS One       Date:  2018-03-01       Impact factor: 3.240

Review 6.  Dynamics of avian coronavirus circulation in commercial and non-commercial birds in Asia--a review.

Authors:  Naruepol Promkuntod
Journal:  Vet Q       Date:  2015-12-28       Impact factor: 3.320

7.  The Dynamics of Avian Influenza: Individual-Based Model with Intervention Strategies in Traditional Trade Networks in Phitsanulok Province, Thailand.

Authors:  Chaiwat Wilasang; Anuwat Wiratsudakul; Sudarat Chadsuthi
Journal:  Comput Math Methods Med       Date:  2016-03-23       Impact factor: 2.238

  7 in total

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