The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Economic Burden from Health Losses Due to Foodborne Illness in the United States
Abstract
The Centers for Disease Control and Prevention (CDC) recently revised their estimates for the annual number of foodborne illnesses; 48 million Americans suffer from domestically acquired foodborne illness associated with 31 identified pathogens and a broad category of unspecified agents. Consequently, economic studies based on the previous estimates are now obsolete. This study was conducted to provide improved and updated estimates of the cost of foodborne illness by adding a replication of the 2011 CDC model to existing cost-of-illness models. The basic cost-of-illness model includes economic estimates for medical costs, productivity losses, and illness-related mortality (based on hedonic value-of-statistical-life studies). The enhanced cost-of-illness model replaces the productivity loss estimates with a more inclusive pain, suffering, and functional disability measure based on monetized quality-adjusted life year estimates. Costs are estimated for each pathogen and a broader class of unknown pathogens. The addition of updated cost data and improvements to methodology enhanced the performance of each existing economic model. Uncertainty in these models was characterized using Monte Carlo simulations in @Risk version 5.5. With this model, the average cost per case of foodborne illness was $1,626 (90% credible interval [CI], $607 to $3,073) for the enhanced cost-of-illness model and $1,068 (90% CI, $683 to $1,646) for the basic model. The resulting aggregated annual cost of illness was $77.7 billion (90% CI, $28.6 to $144.6 billion) and $51.0 billion (90% CI, $31.2 to $76.1 billion) for the enhanced and basic models, respectively.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Foodborne illness acquired in the United States—Major pathogens
Scallan, E., Hoekstra, R. M., Angulo, F. J., Tauxe, R. V., Widdowson, M.-A., Roy, S. L., Jones, J. L., & Griffin, P. M. (2011) · Emerging Infectious Diseases · doi:10.3201/eid1701.p11101 · Cited by 7,657
The value of a statistical life: A critical review of market estimates throughout the world
Viscusi, W. K., & Aldy, J. E. (2003) · Journal of Risk and Uncertainty · doi:10.1023/a:1025598106257 · Cited by 2,135
Luo, N., Johnson, J. A., Shaw, J. W., Feeny, D., & Coons, S. J. (2005) · Medical Care · doi:10.1097/01.mlr.0000182493.57090.c1 · Cited by 383 · cited 1×
“(11) demonstrated that the average QALY in the United States is actually 0.”
Background
Cited by
Bintsis, T., & Department of International Trade, T. O. W. M. (2017) · AIMS Microbiology · doi:10.3934/microbiol.2017.3.529 · Cited by 926
The global burden of listeriosis: a systematic review and meta-analysis
de Noordhout, C. M., Devleesschauwer, B., Angulo, F. J., Verbeke, G., Haagsma, J., Kirk, M., Havelaar, A., & Speybroeck, N. (2014) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(14)70870-9 · Cited by 624
ACG Clinical Guideline: Diagnosis, Treatment, and Prevention of Acute Diarrheal Infections in Adults
Riddle, M. S., DuPont, H. L., & Connor, B. A. (2016) · American Journal of Gastroenterology · doi:10.1038/ajg.2016.126 · Cited by 435
Cellphone-based devices for bioanalytical sciences
Vashist, S. K., Mudanyali, O., Schneider, E. M., Zengerle, R., & Ozcan, A. (2014) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-013-7473-1 · Cited by 305
SCALLAN, E., HOEKSTRA, R. M., MAHON, B. E., JONES, T. F., & GRIFFIN, P. M. (2015) · Epidemiology and Infection · doi:10.1017/s0950268814003185 · Cited by 296
Metadata
- Authors
- SCHARFF, R. L.
- Venue
- Journal of Food Protection
- Publisher
- Elsevier BV
- Published
- 2012-01-01
- Volume
- 75
- Issue
- 1
- Pages
- 123-131
- ISSN
- 0362-028X (ISSN-L)
- 1944-9097
- OpenAlex
- W2089306901
- Cited by
- 923
- References
- 3
- FWCI
- 81.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Economic Burden from Health Losses Due to Foodborne Illness in the United States. https://app.cochat.ai/papers/10.4315/0362-028x.jfp-11-058
- The paper
- SCHARFF, R. L. (2012). Economic Burden from Health Losses Due to Foodborne Illness in the United States. Journal of Food Protection. https://doi.org/10.4315/0362-028x.jfp-11-058
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.