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Global and regional source attribution of Shiga toxin-producing Escherichia coli infections using analysis of outbreak surveillance data

Shiga toxin-producing Escherichia coli (STEC) infections pose a substantial health and economic burden worldwide. To target interventions to prevent foodborne infections, it is important to determine the types of foods leading to illness. Our objective was to determine the food sources of STEC globa...

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Autores principales: Pires, Sara M., Majowicz, Shannon, Gill, Alexander, Devleesschauwer, Brecht
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625198/
https://www.ncbi.nlm.nih.gov/pubmed/31364563
http://dx.doi.org/10.1017/S095026881900116X
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author Pires, Sara M.
Majowicz, Shannon
Gill, Alexander
Devleesschauwer, Brecht
author_facet Pires, Sara M.
Majowicz, Shannon
Gill, Alexander
Devleesschauwer, Brecht
author_sort Pires, Sara M.
collection PubMed
description Shiga toxin-producing Escherichia coli (STEC) infections pose a substantial health and economic burden worldwide. To target interventions to prevent foodborne infections, it is important to determine the types of foods leading to illness. Our objective was to determine the food sources of STEC globally and for the six World Health Organization regions. We used data from STEC outbreaks that have occurred globally to estimate source attribution fractions. We categorised foods according to their ingredients and applied a probabilistic model that used information on implicated foods for source attribution. Data were received from 27 countries covering the period between 1998 and 2017 and three regions: the Americas (AMR), Europe (EUR) and Western-Pacific (WPR). Results showed that the top foods varied across regions. The most important sources in AMR were beef (40%; 95% Uncertainty Interval 39–41%) and produce (35%; 95% UI 34–36%). In EUR, the ranking was similar though with less marked differences between sources (beef 31%; 95% UI 28–34% and produce 30%; 95% UI 27–33%). In contrast, the most common source of STEC in WPR was produce (43%; 95% UI 36–46%), followed by dairy (27%; 95% UI 27–27%). Possible explanations for regional variability include differences in food consumption and preparation, frequency of STEC contamination, the potential of regionally predominant STEC strains to cause severe illness and differences in outbreak investigation and reporting. Despite data gaps, these results provide important information to inform the development of strategies for lowering the global burden of STEC infections.
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spelling pubmed-66251982019-07-17 Global and regional source attribution of Shiga toxin-producing Escherichia coli infections using analysis of outbreak surveillance data Pires, Sara M. Majowicz, Shannon Gill, Alexander Devleesschauwer, Brecht Epidemiol Infect Original Paper Shiga toxin-producing Escherichia coli (STEC) infections pose a substantial health and economic burden worldwide. To target interventions to prevent foodborne infections, it is important to determine the types of foods leading to illness. Our objective was to determine the food sources of STEC globally and for the six World Health Organization regions. We used data from STEC outbreaks that have occurred globally to estimate source attribution fractions. We categorised foods according to their ingredients and applied a probabilistic model that used information on implicated foods for source attribution. Data were received from 27 countries covering the period between 1998 and 2017 and three regions: the Americas (AMR), Europe (EUR) and Western-Pacific (WPR). Results showed that the top foods varied across regions. The most important sources in AMR were beef (40%; 95% Uncertainty Interval 39–41%) and produce (35%; 95% UI 34–36%). In EUR, the ranking was similar though with less marked differences between sources (beef 31%; 95% UI 28–34% and produce 30%; 95% UI 27–33%). In contrast, the most common source of STEC in WPR was produce (43%; 95% UI 36–46%), followed by dairy (27%; 95% UI 27–27%). Possible explanations for regional variability include differences in food consumption and preparation, frequency of STEC contamination, the potential of regionally predominant STEC strains to cause severe illness and differences in outbreak investigation and reporting. Despite data gaps, these results provide important information to inform the development of strategies for lowering the global burden of STEC infections. Cambridge University Press 2019-07-08 /pmc/articles/PMC6625198/ /pubmed/31364563 http://dx.doi.org/10.1017/S095026881900116X Text en © The Author(s) 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Pires, Sara M.
Majowicz, Shannon
Gill, Alexander
Devleesschauwer, Brecht
Global and regional source attribution of Shiga toxin-producing Escherichia coli infections using analysis of outbreak surveillance data
title Global and regional source attribution of Shiga toxin-producing Escherichia coli infections using analysis of outbreak surveillance data
title_full Global and regional source attribution of Shiga toxin-producing Escherichia coli infections using analysis of outbreak surveillance data
title_fullStr Global and regional source attribution of Shiga toxin-producing Escherichia coli infections using analysis of outbreak surveillance data
title_full_unstemmed Global and regional source attribution of Shiga toxin-producing Escherichia coli infections using analysis of outbreak surveillance data
title_short Global and regional source attribution of Shiga toxin-producing Escherichia coli infections using analysis of outbreak surveillance data
title_sort global and regional source attribution of shiga toxin-producing escherichia coli infections using analysis of outbreak surveillance data
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625198/
https://www.ncbi.nlm.nih.gov/pubmed/31364563
http://dx.doi.org/10.1017/S095026881900116X
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