Abstract

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.

Highlights

  • Source attribution of foodborne diseases is defined as the partitioning of the human cases caused by foodborne pathogens among their animal, food, and environmental reservoirs and/or transmission routes (Pires et al, 2009)

  • We critically reviewed the currently available methods and data types for source attribution of foodborne pathogens, discussing their main strengths and weaknesses in order to guide readers toward the most appropriate methods based on the type, quality and availability of data, the food safety questions to be addressed, and the characteristics of the pathogens in question

  • The burden of foodborne pathogens that are sporadic in nature (e.g., Campylobacter, Toxoplasma, etc.) is poorly estimated by source attribution based on outbreak data, and other approaches are preferable

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Summary

INTRODUCTION

Source attribution of foodborne diseases is defined as the partitioning of the human cases caused by foodborne pathogens among their animal, food, and environmental reservoirs and/or transmission routes (Pires et al, 2009). Case-control studies of sporadic foodborne diseases can provide valuable insights into determinants and risk factors for infection at the point of exposure (Hedberg, 2012; Fullerton and Mahon, 2013). These studies are challenged by several biases, recent examples show their usefulness in pinpointing specific sources. The burden of foodborne pathogens that are sporadic in nature (e.g., Campylobacter, Toxoplasma, etc.) is poorly estimated by source attribution based on outbreak data, and other approaches (e.g., case-control studies) are preferable. The standardization of this MLVA approach requires determining the number of VNTR loci retained in the analysis and considering the number of repeats found at each locus (Ferrari et al, 2017)

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