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Structure, function and performance of Early Warning Alert and Response Network (EWARN) in emergencies in the Eastern Mediterranean Region

INTRODUCTION: The Eastern Mediterranean Region (EMR) has experienced several protracted humanitarian crises. The affected population are served by eight Early Warning Alert and Response Network (EWARN) systems for outbreak detection and response. This study aimed to compare structure, function and p...

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Autores principales: Mala, Peter, Abubakar, Abdinasir, Takeuchi, Akiko, Buliva, Evans, Husain, Farah, Malik, Mamunur Rahman, Tayyab, Mohammed, Elnoserry, Sherein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068565/
https://www.ncbi.nlm.nih.gov/pubmed/33556613
http://dx.doi.org/10.1016/j.ijid.2021.02.002
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author Mala, Peter
Abubakar, Abdinasir
Takeuchi, Akiko
Buliva, Evans
Husain, Farah
Malik, Mamunur Rahman
Tayyab, Mohammed
Elnoserry, Sherein
author_facet Mala, Peter
Abubakar, Abdinasir
Takeuchi, Akiko
Buliva, Evans
Husain, Farah
Malik, Mamunur Rahman
Tayyab, Mohammed
Elnoserry, Sherein
author_sort Mala, Peter
collection PubMed
description INTRODUCTION: The Eastern Mediterranean Region (EMR) has experienced several protracted humanitarian crises. The affected population are served by eight Early Warning Alert and Response Network (EWARN) systems for outbreak detection and response. This study aimed to compare structure, function and performance of the systems’ adherence to current guidance, and noted emerging lessons. METHODS: This study included a review of published and unpublished literature, a structured survey and interviews. RESULTS: Findings showed that all systems adhered to basic EWARN structure. Four of eight systems had electronic platforms, while one was implementing one. Regarding key EWARN function of outbreak detection: of the 35 health conditions, 26 were communicable diseases and nine were non-communicable; two systems focused on epidemic-prone diseases. Half the systems achieved ≥60% population coverage, five achieved ≥80% reporting timeliness, six achieved ≥80% reporting completeness, and seven achieved verification of ≥80% of alerts of suspected outbreaks. CONCLUSION: The findings showed that the systems followed the EWARN structure, while increasing adoption of electronic platforms. Performance, including timeliness and completeness of reporting, and timely verification of alerts were optimal for most of the systems. However, population coverage was low for most of the systems, and the EWARN’s primary focus of outbreak detection was undermined by the increasing number of non-epidemic diseases.
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spelling pubmed-80685652021-04-27 Structure, function and performance of Early Warning Alert and Response Network (EWARN) in emergencies in the Eastern Mediterranean Region Mala, Peter Abubakar, Abdinasir Takeuchi, Akiko Buliva, Evans Husain, Farah Malik, Mamunur Rahman Tayyab, Mohammed Elnoserry, Sherein Int J Infect Dis Article INTRODUCTION: The Eastern Mediterranean Region (EMR) has experienced several protracted humanitarian crises. The affected population are served by eight Early Warning Alert and Response Network (EWARN) systems for outbreak detection and response. This study aimed to compare structure, function and performance of the systems’ adherence to current guidance, and noted emerging lessons. METHODS: This study included a review of published and unpublished literature, a structured survey and interviews. RESULTS: Findings showed that all systems adhered to basic EWARN structure. Four of eight systems had electronic platforms, while one was implementing one. Regarding key EWARN function of outbreak detection: of the 35 health conditions, 26 were communicable diseases and nine were non-communicable; two systems focused on epidemic-prone diseases. Half the systems achieved ≥60% population coverage, five achieved ≥80% reporting timeliness, six achieved ≥80% reporting completeness, and seven achieved verification of ≥80% of alerts of suspected outbreaks. CONCLUSION: The findings showed that the systems followed the EWARN structure, while increasing adoption of electronic platforms. Performance, including timeliness and completeness of reporting, and timely verification of alerts were optimal for most of the systems. However, population coverage was low for most of the systems, and the EWARN’s primary focus of outbreak detection was undermined by the increasing number of non-epidemic diseases. Elsevier 2021-04 /pmc/articles/PMC8068565/ /pubmed/33556613 http://dx.doi.org/10.1016/j.ijid.2021.02.002 Text en © 2021 Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. https://creativecommons.org/licenses/by-nc-nd/3.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Article
Mala, Peter
Abubakar, Abdinasir
Takeuchi, Akiko
Buliva, Evans
Husain, Farah
Malik, Mamunur Rahman
Tayyab, Mohammed
Elnoserry, Sherein
Structure, function and performance of Early Warning Alert and Response Network (EWARN) in emergencies in the Eastern Mediterranean Region
title Structure, function and performance of Early Warning Alert and Response Network (EWARN) in emergencies in the Eastern Mediterranean Region
title_full Structure, function and performance of Early Warning Alert and Response Network (EWARN) in emergencies in the Eastern Mediterranean Region
title_fullStr Structure, function and performance of Early Warning Alert and Response Network (EWARN) in emergencies in the Eastern Mediterranean Region
title_full_unstemmed Structure, function and performance of Early Warning Alert and Response Network (EWARN) in emergencies in the Eastern Mediterranean Region
title_short Structure, function and performance of Early Warning Alert and Response Network (EWARN) in emergencies in the Eastern Mediterranean Region
title_sort structure, function and performance of early warning alert and response network (ewarn) in emergencies in the eastern mediterranean region
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068565/
https://www.ncbi.nlm.nih.gov/pubmed/33556613
http://dx.doi.org/10.1016/j.ijid.2021.02.002
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