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Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time
BACKGROUND: Both high and low pathogenic subtype A avian influenza remain ongoing threats to the commercial poultry industry globally. The emergence of a novel low pathogenic H7N9 lineage in China presents itself as a new concern to both human and animal health and may necessitate additional surveil...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4129106/ https://www.ncbi.nlm.nih.gov/pubmed/25085078 http://dx.doi.org/10.1186/1471-2334-14-427 |
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author | Pinsent, Amy Blake, Isobel M White, Michael T Riley, Steven |
author_facet | Pinsent, Amy Blake, Isobel M White, Michael T Riley, Steven |
author_sort | Pinsent, Amy |
collection | PubMed |
description | BACKGROUND: Both high and low pathogenic subtype A avian influenza remain ongoing threats to the commercial poultry industry globally. The emergence of a novel low pathogenic H7N9 lineage in China presents itself as a new concern to both human and animal health and may necessitate additional surveillance in commercial poultry operations in affected regions. METHODS: Sampling data was simulated using a mechanistic model of H7N9 influenza transmission within commercial poultry barns together with a stochastic observation process. Parameters were estimated using maximum likelihood. We assessed the probability of detecting an outbreak at time of slaughter using both real-time polymerase chain reaction (rt-PCR) and a hemagglutinin inhibition assay (HI assay) before considering more intense sampling prior to slaughter. The day of virus introduction and R(0) were estimated jointly from weekly flock sampling data. For scenarios where R(0) was known, we estimated the day of virus introduction into a barn under different sampling frequencies. RESULTS: If birds were tested at time of slaughter, there was a higher probability of detecting evidence of an outbreak using an HI assay compared to rt-PCR, except when the virus was introduced <2 weeks before time of slaughter. Prior to the initial detection of infection N(sample) = 50 (1%) of birds were sampled on a weekly basis once, but after infection was detected, N(sample) = 2000 birds (40%) were sampled to estimate both parameters. We accurately estimated the day of virus introduction in isolation with weekly and 2-weekly sampling. CONCLUSIONS: A strong sampling effort would be required to infer both the day of virus introduction and R(0). Such a sampling effort would not be required to estimate the day of virus introduction alone once R(0) was known, and sampling N(sample) = 50 of birds in the flock on a weekly or 2 weekly basis would be sufficient. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2334-14-427) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4129106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41291062014-08-13 Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time Pinsent, Amy Blake, Isobel M White, Michael T Riley, Steven BMC Infect Dis Research Article BACKGROUND: Both high and low pathogenic subtype A avian influenza remain ongoing threats to the commercial poultry industry globally. The emergence of a novel low pathogenic H7N9 lineage in China presents itself as a new concern to both human and animal health and may necessitate additional surveillance in commercial poultry operations in affected regions. METHODS: Sampling data was simulated using a mechanistic model of H7N9 influenza transmission within commercial poultry barns together with a stochastic observation process. Parameters were estimated using maximum likelihood. We assessed the probability of detecting an outbreak at time of slaughter using both real-time polymerase chain reaction (rt-PCR) and a hemagglutinin inhibition assay (HI assay) before considering more intense sampling prior to slaughter. The day of virus introduction and R(0) were estimated jointly from weekly flock sampling data. For scenarios where R(0) was known, we estimated the day of virus introduction into a barn under different sampling frequencies. RESULTS: If birds were tested at time of slaughter, there was a higher probability of detecting evidence of an outbreak using an HI assay compared to rt-PCR, except when the virus was introduced <2 weeks before time of slaughter. Prior to the initial detection of infection N(sample) = 50 (1%) of birds were sampled on a weekly basis once, but after infection was detected, N(sample) = 2000 birds (40%) were sampled to estimate both parameters. We accurately estimated the day of virus introduction in isolation with weekly and 2-weekly sampling. CONCLUSIONS: A strong sampling effort would be required to infer both the day of virus introduction and R(0). Such a sampling effort would not be required to estimate the day of virus introduction alone once R(0) was known, and sampling N(sample) = 50 of birds in the flock on a weekly or 2 weekly basis would be sufficient. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2334-14-427) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-01 /pmc/articles/PMC4129106/ /pubmed/25085078 http://dx.doi.org/10.1186/1471-2334-14-427 Text en © Pinsent et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Pinsent, Amy Blake, Isobel M White, Michael T Riley, Steven Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time |
title | Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time |
title_full | Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time |
title_fullStr | Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time |
title_full_unstemmed | Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time |
title_short | Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time |
title_sort | surveillance of low pathogenic novel h7n9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4129106/ https://www.ncbi.nlm.nih.gov/pubmed/25085078 http://dx.doi.org/10.1186/1471-2334-14-427 |
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