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Evaluating Surveillance Strategies for the Early Detection of Low Pathogenicity Avian Influenza Infections
In recent years, the early detection of low pathogenicity avian influenza (LPAI) viruses in poultry has become increasingly important, given their potential to mutate into highly pathogenic viruses. However, evaluations of LPAI surveillance have mainly focused on prevalence and not on the ability to...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335804/ https://www.ncbi.nlm.nih.gov/pubmed/22545151 http://dx.doi.org/10.1371/journal.pone.0035956 |
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author | Comin, Arianna Stegeman, Arjan Marangon, Stefano Klinkenberg, Don |
author_facet | Comin, Arianna Stegeman, Arjan Marangon, Stefano Klinkenberg, Don |
author_sort | Comin, Arianna |
collection | PubMed |
description | In recent years, the early detection of low pathogenicity avian influenza (LPAI) viruses in poultry has become increasingly important, given their potential to mutate into highly pathogenic viruses. However, evaluations of LPAI surveillance have mainly focused on prevalence and not on the ability to act as an early warning system. We used a simulation model based on data from Italian LPAI epidemics in turkeys to evaluate different surveillance strategies in terms of their performance as early warning systems. The strategies differed in terms of sample size, sampling frequency, diagnostic tests, and whether or not active surveillance (i.e., routine laboratory testing of farms) was performed, and were also tested under different epidemiological scenarios. We compared surveillance strategies by simulating within-farm outbreaks. The output measures were the proportion of infected farms that are detected and the farm reproduction number (R(h)). The first one provides an indication of the sensitivity of the surveillance system to detect within-farm infections, whereas R(h) reflects the effectiveness of outbreak detection (i.e., if detection occurs soon enough to bring an epidemic under control). Increasing the sampling frequency was the most effective means of improving the timeliness of detection (i.e., it occurs earlier), whereas increasing the sample size increased the likelihood of detection. Surveillance was only effective in preventing an epidemic if actions were taken within two days of sampling. The strategies were not affected by the quality of the diagnostic test, although performing both serological and virological assays increased the sensitivity of active surveillance. Early detection of LPAI outbreaks in turkeys can be achieved by increasing the sampling frequency for active surveillance, though very frequent sampling may not be sustainable in the long term. We suggest that, when no LPAI virus is circulating yet and there is a low risk of virus introduction, a less frequent sampling approach might be admitted, provided that the surveillance is intensified as soon as the first outbreak is detected. |
format | Online Article Text |
id | pubmed-3335804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33358042012-04-27 Evaluating Surveillance Strategies for the Early Detection of Low Pathogenicity Avian Influenza Infections Comin, Arianna Stegeman, Arjan Marangon, Stefano Klinkenberg, Don PLoS One Research Article In recent years, the early detection of low pathogenicity avian influenza (LPAI) viruses in poultry has become increasingly important, given their potential to mutate into highly pathogenic viruses. However, evaluations of LPAI surveillance have mainly focused on prevalence and not on the ability to act as an early warning system. We used a simulation model based on data from Italian LPAI epidemics in turkeys to evaluate different surveillance strategies in terms of their performance as early warning systems. The strategies differed in terms of sample size, sampling frequency, diagnostic tests, and whether or not active surveillance (i.e., routine laboratory testing of farms) was performed, and were also tested under different epidemiological scenarios. We compared surveillance strategies by simulating within-farm outbreaks. The output measures were the proportion of infected farms that are detected and the farm reproduction number (R(h)). The first one provides an indication of the sensitivity of the surveillance system to detect within-farm infections, whereas R(h) reflects the effectiveness of outbreak detection (i.e., if detection occurs soon enough to bring an epidemic under control). Increasing the sampling frequency was the most effective means of improving the timeliness of detection (i.e., it occurs earlier), whereas increasing the sample size increased the likelihood of detection. Surveillance was only effective in preventing an epidemic if actions were taken within two days of sampling. The strategies were not affected by the quality of the diagnostic test, although performing both serological and virological assays increased the sensitivity of active surveillance. Early detection of LPAI outbreaks in turkeys can be achieved by increasing the sampling frequency for active surveillance, though very frequent sampling may not be sustainable in the long term. We suggest that, when no LPAI virus is circulating yet and there is a low risk of virus introduction, a less frequent sampling approach might be admitted, provided that the surveillance is intensified as soon as the first outbreak is detected. Public Library of Science 2012-04-24 /pmc/articles/PMC3335804/ /pubmed/22545151 http://dx.doi.org/10.1371/journal.pone.0035956 Text en Comin et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Comin, Arianna Stegeman, Arjan Marangon, Stefano Klinkenberg, Don Evaluating Surveillance Strategies for the Early Detection of Low Pathogenicity Avian Influenza Infections |
title | Evaluating Surveillance Strategies for the Early Detection of Low Pathogenicity Avian Influenza Infections |
title_full | Evaluating Surveillance Strategies for the Early Detection of Low Pathogenicity Avian Influenza Infections |
title_fullStr | Evaluating Surveillance Strategies for the Early Detection of Low Pathogenicity Avian Influenza Infections |
title_full_unstemmed | Evaluating Surveillance Strategies for the Early Detection of Low Pathogenicity Avian Influenza Infections |
title_short | Evaluating Surveillance Strategies for the Early Detection of Low Pathogenicity Avian Influenza Infections |
title_sort | evaluating surveillance strategies for the early detection of low pathogenicity avian influenza infections |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335804/ https://www.ncbi.nlm.nih.gov/pubmed/22545151 http://dx.doi.org/10.1371/journal.pone.0035956 |
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