Power Law for Estimating Underdetection of Foodborne Disease Outbreaks, United States

Ford, Laura; Self, Julie L.; Wong, Karen K.; Hoekstra, Robert M.; Tauxe, Robert V.; Rose, Erica Billig; Bruce, Beau B.

doi:10.3201/eid3002.230342

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Power Law for Estimating Underdetection of Foodborne Disease Outbreaks, United States

2 2024
By Ford, Laura ; Self, Julie L. ; Wong, Karen K. ; ...
http://dx.doi.org/10.3201/eid3002.230342
Source: Emerg Infect Dis. 2024; 30(2):337-340

[PDF-1.12 MB]

English

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Details:

Alternative Title:

Emerg Infect Dis
Personal Author:

Ford, Laura ; Self, Julie L. ; Wong, Karen K. ; Hoekstra, Robert M. ; Tauxe, Robert V. ; ... More +

Ford, Laura ; Self, Julie L. ; Wong, Karen K. ; Hoekstra, Robert M. ; Tauxe, Robert V. ; Rose, Erica Billig ; Bruce, Beau B. Less -
Description:

We fit a power law distribution to US foodborne disease outbreaks to assess underdetection and underreporting. We predicted that 788 fewer than expected small outbreaks were identified annually during 1998-2017 and 365 fewer during 2018-2019, after whole-genome sequencing was implemented. Power law can help assess effectiveness of public health interventions.
Subjects:

[+]

Disease Outbreaks Foodborne Diseases/epidemiology Humans Public Health Whole Genome Sequencing
Keywords:

[+]

Disease Outbreaks Foodborne Diseases Foodborne Outbreaks Food Safety Public Health Surveillance Statistical Distributions
Source:

Emerg Infect Dis. 2024; 30(2):337-340
Pubmed ID:

38270126
Pubmed Central ID:

PMC10826756
Document Type:

Journal Article
Place as Subject:

United States
Volume:

30
Issue:

2
Collection(s):

Emerging Infectious Diseases
Main Document Checksum:

[+]

urn:sha256:4bb3d71b1275ee6639f2435e33c8ae647bd0d62143901a78aed0382f4831a813
Download URL:

https://stacks.cdc.gov/view/cdc/147343/cdc_147343_DS1.pdf
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