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Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study

Epidemic Intelligence (EI) encompasses all activities related to early identification, verification, analysis, assessment, and investigation of health threats. It integrates an indicator-based (IBS) component using systematically collected surveillance data, and an event-based component (EBS), using...

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Autores principales: Dub, Timothee, Mäkelä, Henna, Van Kleef, Esther, Leblond, Agnes, Mercier, Alizé, Hénaux, Viviane, Bouyer, Fanny, Binot, Aurelie, Thiongane, Oumy, Lancelot, Renaud, Delconte, Valentina, Zamuner, Lea, Van Bortel, Wim, Arsevska, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401758/
https://www.ncbi.nlm.nih.gov/pubmed/37542208
http://dx.doi.org/10.1186/s12889-023-16396-y
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author Dub, Timothee
Mäkelä, Henna
Van Kleef, Esther
Leblond, Agnes
Mercier, Alizé
Hénaux, Viviane
Bouyer, Fanny
Binot, Aurelie
Thiongane, Oumy
Lancelot, Renaud
Delconte, Valentina
Zamuner, Lea
Van Bortel, Wim
Arsevska, Elena
author_facet Dub, Timothee
Mäkelä, Henna
Van Kleef, Esther
Leblond, Agnes
Mercier, Alizé
Hénaux, Viviane
Bouyer, Fanny
Binot, Aurelie
Thiongane, Oumy
Lancelot, Renaud
Delconte, Valentina
Zamuner, Lea
Van Bortel, Wim
Arsevska, Elena
author_sort Dub, Timothee
collection PubMed
description Epidemic Intelligence (EI) encompasses all activities related to early identification, verification, analysis, assessment, and investigation of health threats. It integrates an indicator-based (IBS) component using systematically collected surveillance data, and an event-based component (EBS), using non-official, non-verified, non-structured data from multiple sources. We described current EI practices in Europe by conducting a survey of national Public Health (PH) and Animal Health (AH) agencies. We included generic questions on the structure, mandate and scope of the institute, on the existence and coordination of EI activities, followed by a section where respondents provided a description of EI activities for three diseases out of seven disease models. Out of 81 gatekeeper agencies from 41 countries contacted, 34 agencies (42%) from 26 (63%) different countries responded, out of which, 32 conducted EI activities. Less than half (15/32; 47%) had teams dedicated to EI activities and 56% (18/34) had Standard Operating Procedures (SOPs) in place. On a national level, a combination of IBS and EBS was the most common data source. Most respondents monitored the epidemiological situation in bordering countries, the rest of Europe and the world. EI systems were heterogeneous across countries and diseases. National IBS activities strongly relied on mandatory laboratory-based surveillance systems. The collection, analysis and interpretation of IBS information was performed manually for most disease models. Depending on the disease, some respondents did not have any EBS activity. Most respondents conducted signal assessment manually through expert review. Cross-sectoral collaboration was heterogeneous. More than half of the responding institutes collaborated on various levels (data sharing, communication, etc.) with neighbouring countries and/or international structures, across most disease models. Our findings emphasise a notable engagement in EI activities across PH and AH institutes of Europe, but opportunities exist for better integration, standardisation, and automatization of these efforts. A strong reliance on traditional IBS and laboratory-based surveillance systems, emphasises the key role of in-country laboratories networks. EI activities may benefit particularly from investments in cross-border collaboration, the development of methods that can automatise signal assessment in both IBS and EBS data, as well as further investments in the collection of EBS data beyond scientific literature and mainstream media. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16396-y.
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spelling pubmed-104017582023-08-05 Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study Dub, Timothee Mäkelä, Henna Van Kleef, Esther Leblond, Agnes Mercier, Alizé Hénaux, Viviane Bouyer, Fanny Binot, Aurelie Thiongane, Oumy Lancelot, Renaud Delconte, Valentina Zamuner, Lea Van Bortel, Wim Arsevska, Elena BMC Public Health Research Epidemic Intelligence (EI) encompasses all activities related to early identification, verification, analysis, assessment, and investigation of health threats. It integrates an indicator-based (IBS) component using systematically collected surveillance data, and an event-based component (EBS), using non-official, non-verified, non-structured data from multiple sources. We described current EI practices in Europe by conducting a survey of national Public Health (PH) and Animal Health (AH) agencies. We included generic questions on the structure, mandate and scope of the institute, on the existence and coordination of EI activities, followed by a section where respondents provided a description of EI activities for three diseases out of seven disease models. Out of 81 gatekeeper agencies from 41 countries contacted, 34 agencies (42%) from 26 (63%) different countries responded, out of which, 32 conducted EI activities. Less than half (15/32; 47%) had teams dedicated to EI activities and 56% (18/34) had Standard Operating Procedures (SOPs) in place. On a national level, a combination of IBS and EBS was the most common data source. Most respondents monitored the epidemiological situation in bordering countries, the rest of Europe and the world. EI systems were heterogeneous across countries and diseases. National IBS activities strongly relied on mandatory laboratory-based surveillance systems. The collection, analysis and interpretation of IBS information was performed manually for most disease models. Depending on the disease, some respondents did not have any EBS activity. Most respondents conducted signal assessment manually through expert review. Cross-sectoral collaboration was heterogeneous. More than half of the responding institutes collaborated on various levels (data sharing, communication, etc.) with neighbouring countries and/or international structures, across most disease models. Our findings emphasise a notable engagement in EI activities across PH and AH institutes of Europe, but opportunities exist for better integration, standardisation, and automatization of these efforts. A strong reliance on traditional IBS and laboratory-based surveillance systems, emphasises the key role of in-country laboratories networks. EI activities may benefit particularly from investments in cross-border collaboration, the development of methods that can automatise signal assessment in both IBS and EBS data, as well as further investments in the collection of EBS data beyond scientific literature and mainstream media. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16396-y. BioMed Central 2023-08-04 /pmc/articles/PMC10401758/ /pubmed/37542208 http://dx.doi.org/10.1186/s12889-023-16396-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dub, Timothee
Mäkelä, Henna
Van Kleef, Esther
Leblond, Agnes
Mercier, Alizé
Hénaux, Viviane
Bouyer, Fanny
Binot, Aurelie
Thiongane, Oumy
Lancelot, Renaud
Delconte, Valentina
Zamuner, Lea
Van Bortel, Wim
Arsevska, Elena
Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study
title Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study
title_full Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study
title_fullStr Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study
title_full_unstemmed Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study
title_short Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study
title_sort epidemic intelligence activities among national public and animal health agencies: a european cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401758/
https://www.ncbi.nlm.nih.gov/pubmed/37542208
http://dx.doi.org/10.1186/s12889-023-16396-y
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