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A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges

James Kaufman, Justin Lessler, April Harry, Stefan Edlund, Kun Hu, Judith Douglas, Christian Thoens, Bernd Appel, Annemarie Käsbohrer, Matthias Filter, Marcel Salathé
2014 PLoS Computational Biology  
Here we present a likelihood-based approach that has the potential to accelerate the time needed to identify possibly contaminated food products, which is based on exploitation of food products sales data  ...  Using a real world food sales data set and artificially generated outbreak scenarios, we show that this method performs very well for contamination scenarios originating from a single "guilty" food product  ...  Acknowledgments Retail sales data were provided by SymphonyIRI Group GmbH, Germany. Author Contributions  ... 
doi:10.1371/journal.pcbi.1003692 pmid:24992565 pmcid:PMC4080998 fatcat:wrahxp4igbgb5iodsia6njej2a

Investigating The Effect of Food Safety Practices on Hotels Performance: Drivers, ‎Perceived Benefits and Challenges

Ahmed Ibrahim ‎, Michael Zaki ‎, Farida Megahed, Tamer Abbas
2021 International Journal of Tourism and Hospitality Management  
The purpose of this paper is to identify drivers, benefits, and challenges coming out of food safety practices and the effect of these practices on hotel performance in four and five-star hotels in Luxor  ...  However, these costs and investments should be seen in the long term as the return of the investment by for example decrease of contaminated food products, improvement in the area of food safety and quality  ...  A 5-point Likert-type rating scale, ranging from one (1) "Least important" to five (5) "Most important", was used. Then it was developed based on the relevant review.  ... 
doi:10.21608/ijthm.2021.206793 fatcat:xd2d5m4frfdshkl2hxhw2oyxoa

Analysis of consumer food purchase data used for outbreak investigations, a review

Frederik T Møller1,2, Kåre Mølbak1,3, Steen Ethelberg¹
2020 Zenodo  
We suggest using the term 'consumer purchase data' to refer to the approach in the future.  ...  Secondly, they were used to aid trace-back investigation, where a vehicle was already suspected. A number of methodological as well as (in some countries) legal and practical impediments exist.  ...  Acknowledgements This work was done as part of the NOVA project under the One Health EJP, a European Union's Horizon 2020 research and innovation programme under Grant Agreement No 773830.  ... 
doi:10.5281/zenodo.3747632 fatcat:fqnuurgohrflrnviikg3ttt5g4

Analysis of consumer food purchase data used for outbreak investigations, a review

Frederik T Møller, Kåre Mølbak, Steen Ethelberg
2018 Eurosurveillance  
We suggest using the term 'consumer purchase data' to refer to the approach in the future.  ...  Secondly, they were used to aid trace-back investigation, where a vehicle was already suspected. A number of methodological as well as (in some countries) legal and practical impediments exist.  ...  Acknowledgements This work was done as part of the NOVA project under the One Health EJP, a European Union's Horizon 2020 research and innovation programme under Grant Agreement No 773830.  ... 
doi:10.2807/1560-7917.es.2018.23.24.1700503 pmid:29921346 pmcid:PMC6152197 fatcat:ik7p3zibcjdhfmhcoroh7au5r4

A modeling framework to accelerate food-borne outbreak investigations

Kun Hu, Sondra Renly, Stefan Edlund, Matthew Davis, James Kaufman
2016 Food Control  
Acknowledgment We thank Matthias Filter, Chris Thoens, Annemarie K€ asbohrer, and Bernd Appel from the German Federal Institute for Risk Assessment (BfR) for providing the anonymized retail sales data  ...  set and giving valuable feedback throughout this research project, and Judith Douglas for the final editorial read-through.  ...  Leveraging this set of empirical data from Germany, we showed that before an outbreak occurs, analyzing food sales data using a proposed likelihood-based method provides useful product intelligence, and  ... 
doi:10.1016/j.foodcont.2015.05.017 fatcat:wxbtxqtnurfr3cqnaqxj5b6hhi

Microbiological risk ranking of foodborne pathogens and food products in scarce-data settings [article]

Matteo Crotta, Bhagyalakshmi Chengat Prakashbabu, Hannah R Holt, Ben Swift, Jasbir Singh Bedi, Paviter Kaur, Venkata Chaitanya Pedada, Thahir Basha Shaik, Srinivasa Rao Tumati, Javier Guitian
2022 medRxiv   pre-print
In the absence of epidemiological, microbiological or outbreak data, systematic identification of the hazards and food products posing the higher risk to the consumers is challenging.  ...  chain(s), characteristics of the Food Business Operators (FBOs) and cultural habits to identify: (i) the pathogens that should be considered as a High food safety priority and (ii) the food products posing  ...  During the mapping exercise, a description of the milk flows from production to consumption was built with all participants using a consensus-based approach.  ... 
doi:10.1101/2022.04.07.22273592 fatcat:bhutqmci6rddtlmtmpzdcncb6i

Assessment of the Impact on Human Health of the Presence of Norovirus in Bivalve Molluscs: What Data Do We Miss?

Federica Savini, Federica Giacometti, Federico Tomasello, Marta Pollesel, Silvia Piva, Andrea Serraino, Alessandra De Cesare
2021 Foods  
This review aims to identify data gaps that must be filled in order to increase knowledge on Norovirus in bivalve molluscs, perform a risk assessment and rank the key mitigation strategies for this biological  ...  In addition, the Escherichia coli-based indices of acceptable faecal contamination for primary production, as well as the food safety criteria, do not appear sufficient to indicate the extent of Norovirus  ...  Discussion The data collected in this review allows us to identify the key data gaps to perform a full quantitative microbial risk assessment for Norovirus in bivalve molluscs.  ... 
doi:10.3390/foods10102444 pmid:34681492 fatcat:tad2x5uuvbcojgjr4nqvfiv2ue

Deep-Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT-Based Intelligent Food Management Systems

Jianlei Kong, Chengcai Yang, Jianli Wang, Xiaoyi Wang, Min Zuo, Xuebo Jin, Sen Lin, Anastasios D. Doulamis
2021 Computational Intelligence and Neuroscience  
rules for better decision-making, thereby maintaining the safety and sustainability of food product supply.  ...  The aim of the proposed method is to help managers and operators in food enterprises to find accurate risk levels of food security in advance and to provide regulatory authorities and consumers with potential  ...  Risk Prediction Based on Machine Learning. In order to strengthening the safety of the extended food supply chain, a variety of new approaches have been introduced to meet these challenges.  ... 
doi:10.1155/2021/1194565 pmid:34804137 pmcid:PMC8598327 fatcat:jddvyv7qeje77klkj6uizc4k5i

An Adjusted Likelihood Ratio Approach Analysing Distribution of Food Products to Assist the Investigation of Foodborne Outbreaks

Madelaine Norström, Anja Bråthen Kristoffersen, Franziska Sophie Görlach, Karin Nygård, Petter Hopp, George-John Nychas
2015 PLoS ONE  
However, the approach needs to be further validated on other outbreak data and also including other food products than meat products in order to make a more general conclusion of the applicability of the  ...  The performance of the adjusted likelihood ratio approach on the data originating from the HUS outbreak and control data indicates that the adjusted approach is promising and indicates that the adjusted  ...  Acknowledgments The authors thank Nortura SL (previously Gilde SL) for allowing use of data on food distributions of fermented sausages from the outbreak investigation in 2006 and generously making available  ... 
doi:10.1371/journal.pone.0134344 pmid:26237468 pmcid:PMC4523185 fatcat:do74eqw4yrbwtdkirrhncdq5cq

The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals

Nadine Bachmann, Shailesh Tripathi, Manuel Brunner, Herbert Jodlbauer
2022 Sustainability  
Based on a qualitative content analysis, results were aggregated into a conceptual framework, including the following categories: (1) uses of data-driven methods (e.g., monitoring, measurement, mapping  ...  This study presents a comprehensive literature review on how data-driven approaches have enabled or inhibited the successful achievement of the 17 SDGs to date.  ...  [150] propose a data-driven Bayesian network approach to identify and interpret SDG 6 interlinkages across the 2030 Agenda, as monitoring SDGs requires combining conventional indicator-based frameworks  ... 
doi:10.3390/su14052497 fatcat:i6gjzrzqqjdvlaaglxq22i73ba

The influence of the antimicrobial use in the resistance data on clinical and non-clinical isolates from broilers and turkeys in Germany

O Mesa-Varona, H Kaspar, M Grobbel, B-A Tenhagen
2021 Zenodo  
German data on AMR in clinical and non-clinical E. coli isolates together with usage data (based on the German unit therapy frequency) in broilers and turkeys were collected from monitoring systems between  ...  Antimicrobial use (AMU) is a main driver of antimicrobial resistance (AMR), one of the major public health concerns in the human and animal sectors.  ...  The best-performing probiotic product in the time interval with Eimeria-challenge with emphasis on production performance (BWG/FCR14-28) was based on a Bacillus subtilis strain (Gallipro ® ).  ... 
doi:10.5281/zenodo.4916495 fatcat:3fj6qabxorh5fova7w4p5pl6x4

Big Data & Analytics for Societal Impact: Recent Research and Trends

Ashish Gupta, Amit Deokar, Lakshmi Iyer, Ramesh Sharda, Dave Schrader
2018 Information Systems Frontiers  
Kaufman et al. (2014) used food sales data from stores to identify contaminated food products using a likelihood-based method.  ...  These studies show the potential for using variety of big data sources and employing analytics to solve a key challenge in the food industry pertaining to quick identification of foodborne illness outbreaks  ... 
doi:10.1007/s10796-018-9846-7 fatcat:vwolxmky7jhzjnjwmjvhl2whqa

Locating the source of large-scale outbreaks of foodborne disease

Abigail L. Horn, Hanno Friedrich
2019 Journal of the Royal Society Interface  
To solve the source identification problem, we formulate a probabilistic model of the contamination diffusion process as a random walk on a network and derive the maximum-likelihood estimator for the source  ...  We demonstrate the benefits of the multiple-paths approach through application to different network topologies, including stylized models of food supply network structure and real data from the 2011 Shiga  ...  The authors would like to thank A. Balster for contributions and data sharing relating to Germany network model and the STEC outbreak case study; E. Polozova for technical assistance; and R.  ... 
doi:10.1098/rsif.2018.0624 pmid:30958197 pmcid:PMC6408345 fatcat:mfwogshbonc4xeybrswtt66cna

Barcoding animal species

2020 Food Science and Technology (London)  
It became very apparent that there was a need for the food industry, as well as the governments, to improve monitoring of the food supply chain and products in the marketplace for potential adulteration  ...  and to require suppliers and manufacturers to undertake vulnerability assessments to guard against food fraud.  ...  To add a new method or new validation data to existing methods, the submission data sheet requests all information needed, like the method parameters and which species can or cannot be identified using  ... 
doi:10.1002/fsat.3404_10.x fatcat:g6bu2yxemjcodewstprg2zeeam

Locating the Source of Large-scale Diffusion of Foodborne Contamination [article]

Abigail L. Horn, Hanno Friedrich
2018 arXiv   pre-print
To solve the source identification problem we formulate a probabilistic model of the contamination diffusion process as a random walk on a network and derive the maximum likelihood estimator for the source  ...  We demonstrate the benefits of the multiple-paths approach through application to different network topologies, including stylized models of food supply network structure and real data from the 2011 EHEC  ...  ACKNOWLEDGMENTS The authors would like to thank A. Balster for contributions and data sharing relating to the EHEC outbreak case study; E. Polozova for technical assistance; and R. Larson, S.  ... 
arXiv:1805.03137v1 fatcat:nlqlwf6mmrd6fprlzk6srg6d3y
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