2013
DOI: 10.1038/srep02175
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Modeling highly pathogenic avian influenza transmission in wild birds and poultry in West Bengal, India

Abstract: Wild birds are suspected to have played a role in highly pathogenic avian influenza (HPAI) H5N1 outbreaks in West Bengal. Cluster analysis showed that H5N1 was introduced in West Bengal at least 3 times between 2008 and 2010. We simulated the introduction of H5N1 by wild birds and their contact with poultry through a stochastic continuous-time mathematical model. Results showed that reducing contact between wild birds and domestic poultry, and increasing the culling rate of infected domestic poultry communitie… Show more

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Cited by 25 publications
(30 citation statements)
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“…Breeding ranges of Baikal teal and spot-billed duck have been updated from [31]. [28]. During large-scale surveillance activities in north India from 2009 to 2011, no avian influenza viruses had been detected in 3,522 wild bird samples [29].…”
Section: Figurementioning
confidence: 99%
“…Breeding ranges of Baikal teal and spot-billed duck have been updated from [31]. [28]. During large-scale surveillance activities in north India from 2009 to 2011, no avian influenza viruses had been detected in 3,522 wild bird samples [29].…”
Section: Figurementioning
confidence: 99%
“…We show through simulations that coexistence of both pathogens is possible, if all their within-population and cross-population reproduction numbers are smaller than one. This observation is very important since estimates of the reproduction number of HPAI H5N1 in poultry vary around one [14,15,24] but our results imply that even if the reproduction number is below one, HPAI may persist in the wild-domestic bird system, even under competition with LPAI. We note that in the sink-sink scenario, even though the species-specific, strain-specific reproduction and invasion numbers are below one, the overall strain-specific reproduction and invasion numbers are above one, which gives persistence.…”
Section: Discussionmentioning
confidence: 81%
“…() estimated a between‐ subdistrict R 0 varying between 1.27 and 1.60 in Thailand using 1208 outbreaks that occurred between July 2004 and April 2005. In a study based on 33 outbreaks in West Bengal, India during the period between 2008 and 2010, Pandit, Bunn, Pande, and Aly () estimated R 0 that ranged from 0.859 to 1.069 and Bett et al. () found a between‐village R 0 ranging from 0.7 to 1.1 for an epidemic that occurred in Nigeria.…”
Section: Discussionmentioning
confidence: 99%