Predicting Commercial Fishing Vessel Disasters Through a Novel Application of the Theory of Man-Made Disasters

Details

• Alternative Title:
  J Safety Res
• Personal Author:
  Case, Samantha L. ; Lucas, Devin L.
• Description:
  Vessel disasters (e.g., sinkings, capsizings) are a leading contributor to fatalities in the U.S. commercial fishing industry. Primary prevention strategies are needed to reduce the occurrence of vessel disasters, which can only be done by developing an understanding of their causes and risk factors. If less serious vessel casualties (e.g., loss of propulsion, fire, flooding) are predictors of future disasters, then reducing vessel casualties should in turn reduce vessel disasters and the accompanying loss of life.|This case-control study examined the association between vessel casualties and disasters using fishing vessels in Alaska during 2010-2015.|The findings show that vessels that experienced casualties within a preceding 10-year period were at increased odds of disaster. Other significant predictors included safety decal status and hull material. Practical Applications: The results of this analysis emphasize the importance of implementing vessel-specific preventive maintenance plans. At an industry level, specific prevention policies should be developed focusing on high-risk fleets to identify and correct a wide range of safety deficits before they have catastrophic and fatal consequences.
• Subjects:
  Accidents, Occupational Alaska Article Case-Control Studies Disaster Incubation Disasters Drift Fisheries Maritime Models, Theoretical Occupational Health Occupational Safety Risk Factors Ships

  More +
• Source:
  J Safety Res. 75:51-56
• Pubmed ID:
  33334492
• Pubmed Central ID:
  PMC7749266
• Document Type:
  Journal Article
• Funding:
  CC999999/ImCDC/Intramural CDC HHSUnited States/
• Volume:
  75
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:fc98f156148bb81aa452f588f0944091d43e6d0212b84f9645af4b31996805b2
• Download URL:
  https://stacks.cdc.gov/view/cdc/99062/cdc_99062_DS1.pdf
• File Type:
  [PDF - 329.31 KB ]