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

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Ford, Laura ; Self, Julie L. ; Wong, Karen K. ; Hoekstra, Robert M. ; Tauxe, Robert V. ; Rose, Erica Billig ; Bruce, Beau B.
• 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
• File Type:
  [PDF - 1.12 MB ]