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A framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats
Output-based standards set a prescribed target to be achieved by a surveillance system, but they leave the selection of surveillance parameters, such as test type and population to be sampled, to the responsible party in the surveillance area. This allows proportionate legislative surveillance speci...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157289/ https://www.ncbi.nlm.nih.gov/pubmed/37151595 http://dx.doi.org/10.3389/fpubh.2023.1129776 |
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author | Rivers, Samantha Kochanowski, Maciej Stolarek, Agnieszka Ziętek-Barszcz, Anna Horigan, Verity Kent, Alexander J. Dewar, Rob |
author_facet | Rivers, Samantha Kochanowski, Maciej Stolarek, Agnieszka Ziętek-Barszcz, Anna Horigan, Verity Kent, Alexander J. Dewar, Rob |
author_sort | Rivers, Samantha |
collection | PubMed |
description | Output-based standards set a prescribed target to be achieved by a surveillance system, but they leave the selection of surveillance parameters, such as test type and population to be sampled, to the responsible party in the surveillance area. This allows proportionate legislative surveillance specifications to be imposed over a range of unique geographies. This flexibility makes output-based standards useful in the context of zoonotic threat surveillance, particularly where animal pathogens act as risk indicators for human health or where multiple surveillance streams cover human, animal, and food safety sectors. Yet, these systems are also heavily reliant on the appropriate choice of surveillance options to fit the disease context and the constraints of the organization implementing the surveillance system. Here we describe a framework to assist with designing, implementing, and evaluating output-based surveillance systems showing the effectiveness of a diverse range of activities through a case study example. Despite not all activities being relevant to practitioners in every context, this framework aims to provide a useful toolbox to encourage holistic and stakeholder-focused approaches to the establishment and maintenance of productive output-based surveillance systems. |
format | Online Article Text |
id | pubmed-10157289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101572892023-05-05 A framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats Rivers, Samantha Kochanowski, Maciej Stolarek, Agnieszka Ziętek-Barszcz, Anna Horigan, Verity Kent, Alexander J. Dewar, Rob Front Public Health Public Health Output-based standards set a prescribed target to be achieved by a surveillance system, but they leave the selection of surveillance parameters, such as test type and population to be sampled, to the responsible party in the surveillance area. This allows proportionate legislative surveillance specifications to be imposed over a range of unique geographies. This flexibility makes output-based standards useful in the context of zoonotic threat surveillance, particularly where animal pathogens act as risk indicators for human health or where multiple surveillance streams cover human, animal, and food safety sectors. Yet, these systems are also heavily reliant on the appropriate choice of surveillance options to fit the disease context and the constraints of the organization implementing the surveillance system. Here we describe a framework to assist with designing, implementing, and evaluating output-based surveillance systems showing the effectiveness of a diverse range of activities through a case study example. Despite not all activities being relevant to practitioners in every context, this framework aims to provide a useful toolbox to encourage holistic and stakeholder-focused approaches to the establishment and maintenance of productive output-based surveillance systems. Frontiers Media S.A. 2023-04-20 /pmc/articles/PMC10157289/ /pubmed/37151595 http://dx.doi.org/10.3389/fpubh.2023.1129776 Text en Copyright © 2023 Rivers, Kochanowski, Stolarek, Ziętek-Barszcz, Horigan, Kent and Dewar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Rivers, Samantha Kochanowski, Maciej Stolarek, Agnieszka Ziętek-Barszcz, Anna Horigan, Verity Kent, Alexander J. Dewar, Rob A framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats |
title | A framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats |
title_full | A framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats |
title_fullStr | A framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats |
title_full_unstemmed | A framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats |
title_short | A framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats |
title_sort | framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157289/ https://www.ncbi.nlm.nih.gov/pubmed/37151595 http://dx.doi.org/10.3389/fpubh.2023.1129776 |
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