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

Foodborne 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 <i>Campylobacter</i> and poultry (69% of campylobacteriosis cases attributed to poultry) and <i>Yersinia</i> 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 <i>Campylobacter</i>, non-typhoidal <i>Salmonella</i>, <i>Yersinia enterocolitica</i>, <i>Listeria monocytogenes</i>, and Shiga-toxin producing <i>Escherichia coli</i>.

Authors

Institutions

Publication Details

Journal
Foodborne Pathogens and Disease
Published
2025-12-01
DOI
https://doi.org/10.1177/15353141251403442
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Angus McLure, Kathryn Glass, Anca M. Hanea, Snezana Smiljanic et al.
Foodborne Pathogens and Disease
Salmonella and Campylobacter epidemiology
article

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

Angus McLure, Kathryn Glass, Anca M. Hanea, Snezana Smiljanic, Ben Daughtry
article en

Abstract

Foodborne 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 <i>Campylobacter</i> and poultry (69% of campylobacteriosis cases attributed to poultry) and <i>Yersinia</i> 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 <i>Campylobacter</i>, non-typhoidal <i>Salmonella</i>, <i>Yersinia enterocolitica</i>, <i>Listeria monocytogenes</i>, and Shiga-toxin producing <i>Escherichia coli</i>.

Foodborne Pathogens and Disease
Australian National University (AU), The University of Melbourne (AU)
Openalex Percentile: Top 57%
Salmonella and Campylobacter epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.