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

PLoS Computational Biology

Volumn 10, Issue 7, 2014, Pages

  Kaufman, James ^a   Lessler, Justin ^b   Harry, April ^a,d   Edlund, Stefan ^a   Hu, Kun ^a   Douglas, Judith ^a   Thoens, Christian ^c   Appel, Bernd ^c   Käsbohrer, Annemarie ^c   Filter, Matthias ^c  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c FEDERAL INSTITUTE FOR RISK ASSESSMENT   (Germany)

^d PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL CONTAMINATION; CONTAMINATION; FOOD MICROBIOLOGY; LOSSES; SUPPLY CHAINS;

CRISES SITUATIONS; DATA CHALLENGES; DATA PERFORMANCE; DISEASE OUTBREAKS; ECONOMIC LOSS; FOOD COMPANIES; FOOD-BORNE ILLNESS; FOODBORNE DISEASE; HEALTH CARE COSTS; PRODUCT SALES;

SALES;

ANALYTIC METHOD; ARTICLE; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DATA ANALYSIS; EPIDEMIC; FEASIBILITY STUDY; FOOD ANALYSIS; FOOD CONTAMINATION; FOOD INTAKE; FOOD POISONING; FOOD QUALITY; LIKELIHOOD BASED METHOD; MARKETING; PUBLIC HEALTH; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY ANALYSIS; STATISTICAL DISTRIBUTION; BIOLOGICAL MODEL; BIOLOGY; CLUSTER ANALYSIS; FOOD INDUSTRY; FOODBORNE DISEASES; HUMAN; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DISEASE OUTBREAKS; FOOD INDUSTRY; FOODBORNE DISEASES; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, BIOLOGICAL; PUBLIC HEALTH;

EID: 84905454878     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003692     Document Type: Article

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