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Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases

With increased interest in source attribution of foodborne pathogens, there is a need to sort and assess the applicability of currently available methods. Herewith we reviewed the most frequently applied methods for source attribution of foodborne diseases, discussing their main strengths and weakne...

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Autores principales: Mughini-Gras, Lapo, Kooh, Pauline, Fravalo, Philippe, Augustin, Jean-Christophe, Guillier, Laurent, David, Julie, Thébault, Anne, Carlin, Frederic, Leclercq, Alexandre, Jourdan-Da-Silva, Nathalie, Pavio, Nicole, Villena, Isabelle, Sanaa, Moez, Watier, Laurence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6861836/
https://www.ncbi.nlm.nih.gov/pubmed/31798549
http://dx.doi.org/10.3389/fmicb.2019.02578
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author Mughini-Gras, Lapo
Kooh, Pauline
Fravalo, Philippe
Augustin, Jean-Christophe
Guillier, Laurent
David, Julie
Thébault, Anne
Carlin, Frederic
Leclercq, Alexandre
Jourdan-Da-Silva, Nathalie
Pavio, Nicole
Villena, Isabelle
Sanaa, Moez
Watier, Laurence
author_facet Mughini-Gras, Lapo
Kooh, Pauline
Fravalo, Philippe
Augustin, Jean-Christophe
Guillier, Laurent
David, Julie
Thébault, Anne
Carlin, Frederic
Leclercq, Alexandre
Jourdan-Da-Silva, Nathalie
Pavio, Nicole
Villena, Isabelle
Sanaa, Moez
Watier, Laurence
author_sort Mughini-Gras, Lapo
collection PubMed
description With increased interest in source attribution of foodborne pathogens, there is a need to sort and assess the applicability of currently available methods. Herewith we reviewed the most frequently applied methods for source attribution of foodborne diseases, discussing their main strengths and weaknesses to be considered when choosing the most appropriate methods based on the type, quality, and quantity of data available, the research questions to be addressed, and the (epidemiological and microbiological) characteristics of the pathogens in question. A variety of source attribution approaches have been applied in recent years. These methods can be defined as top–down, bottom–up, or combined. Top–down approaches assign the human cases back to their sources of infection based on epidemiological (e.g., outbreak data analysis, case-control/cohort studies, etc.), microbiological (i.e., microbial subtyping), or combined (e.g., the so-called ‘source-assigned case-control study’ design) methods. Methods based on microbial subtyping are further differentiable according to the modeling framework adopted as frequency-matching (e.g., the Dutch and Danish models) or population genetics (e.g., Asymmetric Island Models and STRUCTURE) models, relying on the modeling of either phenotyping or genotyping data of pathogen strains from human cases and putative sources. Conversely, bottom–up approaches like comparative exposure assessment start from the level of contamination (prevalence and concentration) of a given pathogen in each source, and then go upwards in the transmission chain incorporating factors related to human exposure to these sources and dose-response relationships. Other approaches are intervention studies, including ‘natural experiments,’ and expert elicitations. A number of methodological challenges concerning all these approaches are discussed. In absence of an universally agreed upon ‘gold’ standard, i.e., a single method that satisfies all situations and needs for all pathogens, combining different approaches or applying them in a comparative fashion seems to be a promising way forward.
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spelling pubmed-68618362019-12-03 Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases Mughini-Gras, Lapo Kooh, Pauline Fravalo, Philippe Augustin, Jean-Christophe Guillier, Laurent David, Julie Thébault, Anne Carlin, Frederic Leclercq, Alexandre Jourdan-Da-Silva, Nathalie Pavio, Nicole Villena, Isabelle Sanaa, Moez Watier, Laurence Front Microbiol Microbiology With increased interest in source attribution of foodborne pathogens, there is a need to sort and assess the applicability of currently available methods. Herewith we reviewed the most frequently applied methods for source attribution of foodborne diseases, discussing their main strengths and weaknesses to be considered when choosing the most appropriate methods based on the type, quality, and quantity of data available, the research questions to be addressed, and the (epidemiological and microbiological) characteristics of the pathogens in question. A variety of source attribution approaches have been applied in recent years. These methods can be defined as top–down, bottom–up, or combined. Top–down approaches assign the human cases back to their sources of infection based on epidemiological (e.g., outbreak data analysis, case-control/cohort studies, etc.), microbiological (i.e., microbial subtyping), or combined (e.g., the so-called ‘source-assigned case-control study’ design) methods. Methods based on microbial subtyping are further differentiable according to the modeling framework adopted as frequency-matching (e.g., the Dutch and Danish models) or population genetics (e.g., Asymmetric Island Models and STRUCTURE) models, relying on the modeling of either phenotyping or genotyping data of pathogen strains from human cases and putative sources. Conversely, bottom–up approaches like comparative exposure assessment start from the level of contamination (prevalence and concentration) of a given pathogen in each source, and then go upwards in the transmission chain incorporating factors related to human exposure to these sources and dose-response relationships. Other approaches are intervention studies, including ‘natural experiments,’ and expert elicitations. A number of methodological challenges concerning all these approaches are discussed. In absence of an universally agreed upon ‘gold’ standard, i.e., a single method that satisfies all situations and needs for all pathogens, combining different approaches or applying them in a comparative fashion seems to be a promising way forward. Frontiers Media S.A. 2019-11-12 /pmc/articles/PMC6861836/ /pubmed/31798549 http://dx.doi.org/10.3389/fmicb.2019.02578 Text en Copyright © 2019 Mughini-Gras, Kooh, Fravalo, Augustin, Guillier, David, Thébault, Carlin, Leclercq, Jourdan-Da-Silva, Pavio, Villena, Sanaa and Watier. http://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 Microbiology
Mughini-Gras, Lapo
Kooh, Pauline
Fravalo, Philippe
Augustin, Jean-Christophe
Guillier, Laurent
David, Julie
Thébault, Anne
Carlin, Frederic
Leclercq, Alexandre
Jourdan-Da-Silva, Nathalie
Pavio, Nicole
Villena, Isabelle
Sanaa, Moez
Watier, Laurence
Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases
title Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases
title_full Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases
title_fullStr Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases
title_full_unstemmed Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases
title_short Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases
title_sort critical orientation in the jungle of currently available methods and types of data for source attribution of foodborne diseases
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6861836/
https://www.ncbi.nlm.nih.gov/pubmed/31798549
http://dx.doi.org/10.3389/fmicb.2019.02578
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