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Integrated Early Warning Surveillance: Achilles′ Heel of One Health?
Emerging and re-emerging infectious diseases and zoonoses indicate the importance of the One Health (OH) approach for early warning. At present, even when surveillance data are available, they are infrequently timeously shared between the health sectors. In the context of the MediLabSecure (MLS) Pro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022449/ https://www.ncbi.nlm.nih.gov/pubmed/31936412 http://dx.doi.org/10.3390/microorganisms8010084 |
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author | Amato, Laura Dente, Maria Grazia Calistri, Paolo Declich, Silvia |
author_facet | Amato, Laura Dente, Maria Grazia Calistri, Paolo Declich, Silvia |
author_sort | Amato, Laura |
collection | PubMed |
description | Emerging and re-emerging infectious diseases and zoonoses indicate the importance of the One Health (OH) approach for early warning. At present, even when surveillance data are available, they are infrequently timeously shared between the health sectors. In the context of the MediLabSecure (MLS) Project, we investigated the collection of a set of surveillance indicators able to provide data for the implementation of integrated early warning systems in the 22 MLS countries of the Mediterranean, Black Sea and Sahel regions. We used an online questionnaire (covering vector, human, and animal sectors), focusing on seven relevant arboviruses, that was submitted to 110 officially appointed experts. Results showed that West Nile virus was perceived as the most relevant zoonotic pathogen, while Dengue virus was the most relevant non-zoonotic pathogen in the study area. Data collection of early warning indicators is in place at a different level for all the investigated pathogens and in almost all the MLS Countries. Further assessments on the reliability of the collection in place and on the feasibility of piloting an integrated early warning system for arbovirus could verify if integrated early warning really represents the Achilles’ heel of OH. |
format | Online Article Text |
id | pubmed-7022449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70224492020-03-09 Integrated Early Warning Surveillance: Achilles′ Heel of One Health? Amato, Laura Dente, Maria Grazia Calistri, Paolo Declich, Silvia Microorganisms Article Emerging and re-emerging infectious diseases and zoonoses indicate the importance of the One Health (OH) approach for early warning. At present, even when surveillance data are available, they are infrequently timeously shared between the health sectors. In the context of the MediLabSecure (MLS) Project, we investigated the collection of a set of surveillance indicators able to provide data for the implementation of integrated early warning systems in the 22 MLS countries of the Mediterranean, Black Sea and Sahel regions. We used an online questionnaire (covering vector, human, and animal sectors), focusing on seven relevant arboviruses, that was submitted to 110 officially appointed experts. Results showed that West Nile virus was perceived as the most relevant zoonotic pathogen, while Dengue virus was the most relevant non-zoonotic pathogen in the study area. Data collection of early warning indicators is in place at a different level for all the investigated pathogens and in almost all the MLS Countries. Further assessments on the reliability of the collection in place and on the feasibility of piloting an integrated early warning system for arbovirus could verify if integrated early warning really represents the Achilles’ heel of OH. MDPI 2020-01-08 /pmc/articles/PMC7022449/ /pubmed/31936412 http://dx.doi.org/10.3390/microorganisms8010084 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Amato, Laura Dente, Maria Grazia Calistri, Paolo Declich, Silvia Integrated Early Warning Surveillance: Achilles′ Heel of One Health? |
title | Integrated Early Warning Surveillance: Achilles′ Heel of One Health? |
title_full | Integrated Early Warning Surveillance: Achilles′ Heel of One Health? |
title_fullStr | Integrated Early Warning Surveillance: Achilles′ Heel of One Health? |
title_full_unstemmed | Integrated Early Warning Surveillance: Achilles′ Heel of One Health? |
title_short | Integrated Early Warning Surveillance: Achilles′ Heel of One Health? |
title_sort | integrated early warning surveillance: achilles′ heel of one health? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022449/ https://www.ncbi.nlm.nih.gov/pubmed/31936412 http://dx.doi.org/10.3390/microorganisms8010084 |
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