An Updated Scheme for Categorizing Foods Implicated in Foodborne Disease Outbreaks: A Tri-Agency Collaboration

Richardson, L. C.; Bazaco, Michael C.; Parker, Cary Chen; Dewey-Mattia, Daniel; Golden, Neal J.; Jones, Karen C.; Klontz, Karl C.; Travis, Curtis C.; Kufel, Joanna Zablotsky; Cole, Dana

doi:10.1089/fpd.2017.2324

Cited by 55 publications

(53 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, in child welfare, methods for assessing specific risk factors like poverty, drug use, single parent status, and language barriers have been elaborated over time to enable the production of customized risk profiles for each individual or family (Parton, ). Similarly, in the case of food safety, developments in foodborne illness surveillance, outbreak detection, and institutional coordination have led to higher resolution in source attribution, that is, in assigning foodborne illness risks to specific food categories (Richardson et al, ). The confluence of large‐scale data analysis with risk‐management produces greater sensitivity to fine gradations in harms observed, which in turn drives adoption of more sensitive mechanisms to identify risk factors in the domain of control.…”

Section: An Alternative: the Problem Definition And Control Approachmentioning

confidence: 99%

Explaining Trends in Risk Governance: How Problem Definitions Underpin Risk Regimes

Ansell¹,

Baur²

2018

Risk Hazard & Crisis Pub Pol

View full text Add to dashboard Cite

Profound changes in risk regulation have been brewing over the last few decades. These changes include an explosion of new institutional forms and strategies that decenter risk regulation and introduce a role for meta-regulation, a growing reliance on risk-based analysis to organize decision making and management, an increasingly preventive approach to regulation that requires an expansion of surveillance to better characterize and monitor risks, and a sharpening of contestation over strategies for evaluating and responding to risk. We distill two perspectives from the existing literature on risk regulation that can plausibly provide overarching explanations for these trends. The first perspective explains these trends as a reflection of the refashioning of state, market, and society to privilege economic libertyan explanatory framework we call "neoliberal governmentality." The second perspective argues that these trends reflect practical demands for more efficient and effective risk regulation and management-an explanatory framework we refer to as "functional adaptation." The central purpose of this paper is to advance a third explanation that we call a "problem definition and control" approach. It argues that trends in risk regulation reflect interactions between how society defines risks and how regulatory regimes seek to control those risks.Explicando las tendencias de la gobernanza de riesgos: C omo las definiciones de los problemas est an detr as de los regímenes Se han estado gestando profundos cambios en la regulaci on de riesgos en las ultimas d ecadas. Estos cambios incluyen el surgimiento de nuevas formas y estrategias institucionales que descentralizan la regulaci on del riesgo y presentan la funci on de la meta regulaci on, una dependencia creciente del an alisis basado en riesgos para organizar la toma de decisiones y la gesti on, un acercamiento cada vez m as preventivo para la regulaci on que requiere una expansi on de la vigilancia para caracterizar y monitorear mejor los riesgos y un refinamiento de la contestaci on que tiene que ver con las estrategias que se utilizan para evaluar y responder al riesgo. Destilamos nos perspectivas de la literatura existente de la regulaci on de riesgos que puede posiblemente proporcionar explicaciones generales para estas tendencias. primera perspectiva explica estas tendencias como una reflexi on de la remodelaci on de un estado, mercado y sociedad para privilegiar la libertad econ omica-un marco te orico explicativo que llamamos "gobernabilidad neoliberal." La segunda perspectiva argumenta que estas tendencias reflejan exigencias pr acticas para una regulaci on de riesgos m as efectiva y eficiente-un marco te orico explicativo al que nos referimos como "adaptaci on funcional." El prop osito central de este documento es avanzar a una tercera explicaci on que llamamos un acercamiento de "definici on y control del problema." Argumenta que las tendencias en la regulaci on reflejan interacciones entre c omo la sociedad define los riesgos y c omo los regímenes regu...

show abstract

Section: An Alternative: the Problem Definition And Control Approachmentioning

confidence: 99%

Explaining Trends in Risk Governance: How Problem Definitions Underpin Risk Regimes

Ansell¹,

Baur²

2018

Risk Hazard & Crisis Pub Pol

View full text Add to dashboard Cite

show abstract

“…To classify isolation sources, we adapted the Interagency Food Safety Analytics Collaboration 119 (IFSAC) scheme [13] which has the advantages of being simple enough that a basic 120 knowledge of the isolation source is in general enough to classify a sample. Moreover, this 121 classification was developed by a consensus of three major US agencies (Centers for Disease 122…”

Section: Methodsmentioning

confidence: 99%

“…The number of SNPs separating isolate genomes are used to assess the genetic relatedness 152 among isolates [13]. If a small SNP distance is observed, the isolates can be considered as 153 closely related and the likelihood that they arise from a common source is high.…”

Section: Snp Clusters Snp Threshold 151mentioning

confidence: 99%

See 1 more Smart Citation

GenomeGraphR: A user-friendly open-source web application for foodborne pathogen Whole Genome Sequencing data integration, analysis, and visualization.

Sanaa

Pouillot

Garces-Vega

et al. 2018

Preprint

View full text Add to dashboard Cite

20Food safety risk assessments and large-scale epidemiological investigations have the potential 21 to provide better and new types of information when whole genome sequence (WGS) data are 22 effectively integrated. Today, the NCBI Pathogen Detection database WGS collections have 23 grown significantly through improvements in technology, coordination, and collaboration, 24 such as the GenomeTrakr and PulseNet networks. However, high-quality genomic data is not 25 often coupled with high-quality epidemiological or food chain metadata. We have created a 26 set of tools for cleaning, curation, integration, analysis and visualization of microbial genome 27 sequencing data. It has been tested using Salmonella enterica and Listeria monocytogenes 28 data sets provided by NCBI Pathogen Detection (160,000 sequenced isolates). 29GenomeGraphR presents foodborne pathogen WGS data and associated curated metadata in a 30 user-friendly interface that allows a user to query a variety of research questions such as, 31 transmission sources and dynamics, global reach, and persistence of genotypes associated 32 with contamination in the food supply and foodborne illness across time or space. The 33 application is freely available (https://fda-riskmodels.foodrisk.org/genomegraphr/). 34 35 Detection 52 (https://www.ncbi.nlm.nih.gov/pathogens) have grown significantly through improvements in 53 technology, coordination, and collaboration of the GenomeTrakr and PulseNet networks in 54 the US. Presently, the two networks sequence and release about 5,000 new bacterial genomes 55 per month [11,12] which makes their analysis and interpretation increasingly demanding. 56Our original goal was to explore what we, as risk assessors and epidemiologists, could learn 57 from the NCBI WGS data. We found, however, that despite extensive efforts by the 58

show abstract

“…Consumption of contaminated fresh produce continues to be a significant cause of foodborne illness in the United States (US) (Richardson et al 2017). For example, in there were 383 reported foodborne illnesses associated with leafy green vegetables, according to the US Centers for Disease Control and Prevention (CDC 2017).…”

Section: Introductionmentioning

confidence: 99%

Peer Review #2 of "Environmental inactivation and irrigation-mediated regrowth of Escherichia coli O157:H7 on romaine lettuce when inoculated in a fecal slurry matrix (v0.1)"

2019

View full text Add to dashboard Cite

Field trials were conducted in July-August and October 2012 to quantify the inactivation rate of Escherichia coli O157:H7 when mixed with fecal slurry and applied to romaine lettuce leaves. Lettuce was grown under commercial conditions in Salinas Valley, California. One-half milliliter of rabbit, chicken, or pig fecal slurry, containing an average of 4.05×10 7 CFU E. coli O157:H7 (C 0), was inoculated onto the upper (adaxial) surface of a lower leaf on 288 heads of lettuce per trial immediately following a 2.5 h irrigation event. To estimate the bacterial inactivation rate as a function of time, fecal matrix, irrigation, and seasonal climate effects, sets of lettuce heads (n=28) were sampled each day over 10 days and the concentration of E. coli O157:H7 (C t) determined. E. coli O157:H7 was detected on 100% of heads during the 10-day duration, with concentrations ranging from ≤340 MPN/head (~5-log reduction) to >3.45×10 12 MPN/head (~5-log growth). Relative to C 0 , on day 10 (C t=12) we observed an overall 2.6-log and 3.2-log mean reduction of E. coli O157:H7 in July and October, respectively. However, we observed relative maximum concentrations due to bacterial growth on day 6 (maximum C t=8) apparently stimulated by foliar irrigation on day 5. From this maximum there was a mean 5.3-log and 5.1-log reduction by day 10 (C t=12) for the July and October trials, respectively. This study provides insight into the inactivation and growth kinetics of E. coli O157:H7 on romaine lettuce leaves under natural field conditions. This study provides evidence that harvesting within 24 hours post irrigation has the potential to increase the concentration of E. coli O157:H7 contamination, if present on heads of romaine lettuce; foliar irrigation can temporarily stimulate substantial regrowth of E. coli O157:H7.

show abstract

An Updated Scheme for Categorizing Foods Implicated in Foodborne Disease Outbreaks: A Tri-Agency Collaboration

Cited by 55 publications

References 11 publications

Explaining Trends in Risk Governance: How Problem Definitions Underpin Risk Regimes

Explaining Trends in Risk Governance: How Problem Definitions Underpin Risk Regimes

GenomeGraphR: A user-friendly open-source web application for foodborne pathogen Whole Genome Sequencing data integration, analysis, and visualization.

Peer Review #2 of "Environmental inactivation and irrigation-mediated regrowth of Escherichia coli O157:H7 on romaine lettuce when inoculated in a fecal slurry matrix (v0.1)"

Contact Info

Product

Resources

About