Attribution of Pathogen-Specific Costs of Foodborne Illness to Food Commodity Groups—Combining a Costing Model with Expert Judgment

dc.contributor.authorHanea, Ancaen
dc.contributor.authorMcLure, Angusen
dc.contributor.authorDaughtry, Benen
dc.contributor.authorSmiljanic, Snezanaen
dc.contributor.authorGlass, Kathrynen
dc.date.accessioned2026-01-31T14:40:21Z
dc.date.available2026-01-31T14:40:21Z
dc.date.issued2025-12-03en
dc.description.abstractFoodborne disease and its sequelae exert a significant cost on Australia through health care costs, lost productivity, and occasional fatal illness. While estimating the cost of illness for all foodborne pathogens or for specific pathogens has value in quantifying this disease burden, it is also informative to estimate costs by food commodity and to identify priority areas for improving food safety. We combined a cost of illness model for foodborne illness in Australia with an expert elicitation of the food commodities associated with illness for key pathogens. The total cost of the six modeled pathogens was 721 million (June 2023 AUD), with campylobacteriosis having the greatest overall cost (AUD 420 million). Across food categories, AUD 328 million was attributed to poultry, AUD 107 million to vegetables, while dairy, beef, and pork each had costs over AUD 55 million. Strong associations were found between Campylobacter and poultry (69% of campylobacteriosis cases attributed to poultry) and Yersinia and pork (54% of yersiniosis cases attributed to pork). This study highlights poultry as a key cause of foodborne illness in Australia, responsible for almost half of the total costs due to Campylobacter, non-typhoidal Salmonella, Yersinia enterocolitica, Listeria monocytogenes, and Shiga-toxin producing Escherichia coli.en
dc.description.sponsorshipThe authors would like to acknowledge Dr Sandra Hoffmann (Economic Research Service, United States Department of Agriculture), Dr Sara Monteiro Pires (National Food Institute, Technical University of Denmark), and the Food Safety & Microbiology team at Food Standards Australia New Zealand (FSANZ) for helping to identify the substantive knowledge needed for formulating the calibration questions. Thirteen experts completed all rounds of the expert elicitation process: Kate Astridge, Mark Chan, Karen Ferres, Stacy Kane, Thea King, Allison McNamara, Stewart Quinn, Tom Ross, Robin Sherlock, Henry Tan, Alison Turnbull, Mark Turner, and Helen Withers. This work was funded by FSANZ under contract 2022-23/37. This work was funded by Food Standards Australia New Zealand (FSANZ) under contract 2022-23/37.en
dc.description.statusPeer-revieweden
dc.format.extent8en
dc.identifier.issn1535-3141en
dc.identifier.otherPubMed:41338876en
dc.identifier.otherORCID:/0000-0001-5905-1310/work/203981981en
dc.identifier.otherORCID:/0000-0003-2890-2703/work/203986173en
dc.identifier.scopus105027588280en
dc.identifier.urihttps://hdl.handle.net/1885/733805146
dc.language.isoenen
dc.rightsPublisher Copyright: © 2025 Mary Ann Liebert, (NY) LLC.en
dc.sourceFoodborne Pathogens and Diseaseen
dc.subjectattribution of foodborne illnesses to food commoditiesen
dc.subjectclassical modelen
dc.subjectdisease burdenen
dc.subjectIDEAen
dc.subjectpathogen-specific costs of foodborne illnessen
dc.subjectstructured expert judgmenten
dc.titleAttribution of Pathogen-Specific Costs of Foodborne Illness to Food Commodity Groups—Combining a Costing Model with Expert Judgmenten
dc.typeJournal articleen
dspace.entity.typePublicationen
local.contributor.affiliationHanea, Anca; University of Melbourneen
local.contributor.affiliationMcLure, Angus; National Centre for Epidemiology and Population Health, ANU College of Law, Governance and Policy, The Australian National Universityen
local.contributor.affiliationDaughtry, Ben; Food Standards Australia New Zealanden
local.contributor.affiliationSmiljanic, Snezana; Food Standards Australia New Zealanden
local.contributor.affiliationGlass, Kathryn; National Centre for Epidemiology and Population Health, ANU College of Law, Governance and Policy, The Australian National Universityen
local.identifier.doi10.1177/15353141251403442en
local.identifier.pure2a4d3a69-92ec-490f-a60a-35ff523db137en
local.identifier.urlhttps://www.scopus.com/pages/publications/105027588280en
local.type.statusE-pub ahead of printen

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