Rapid Risk Assessment Report for Schistosomiasis Epidemic in Jianli County Caused by the Sunk "Oriental Star" Cruise Ship

Disaster Med Public Health Prep. 2018 Feb;12(1):147-153. doi: 10.1017/dmp.2017.28. Epub 2017 Sep 15.

Abstract

Background: At 9:28 pm on June 1, 2015, the cruise ship "Oriental Star" sank into Yangtze River in Jianli County, with 422 people killed. When the accident occurred, the Chinese government took immediate action and dispatched more than 9000 rescuers. The risk for outbreak of schistosomiasis was increased because of the shipwreck. Obviously it is critical to carry out risk assessment as soon as possible.

Methods: By means of the Delphi method, the situation was analyzed so that the government could fathom the severity of the accident. Then, through matrix and sigma-plotting (3-dimensional graphics) methods, related authorities performed risk assessment after site investigation.

Results: The latest news reported that more than 9000 people were involved in the rescue. The affected river was analyzed and mapped using SigmaPlot software, according to which the possibility, harmfulness, and controllability of the accident were determined to be medium (6), medium (6), and poor (7), respectively.

Conclusion: The site of the accident where the cruise ship sank and rescue operations were carried out is a schistosomiasis epidemic area with high mortality and morbidity. The chance of an outbreak of the schistosomiasis epidemic in Jianli County is quite high. To protect people in this county from the epidemic, relevant logistic services should be arranged and all remains should be cleared up carefully. (Disaster Med Public Health Preparedness. 2018;12:147-153).

Keywords: emergency medicine; public health; risk assessment.

MeSH terms

  • China / epidemiology
  • Delphi Technique
  • Disaster Planning / methods
  • Disease Outbreaks / prevention & control*
  • Humans
  • Rescue Work / methods
  • Rescue Work / statistics & numerical data
  • Risk Assessment / methods*
  • Risk Assessment / standards*
  • Rivers
  • Schistosomiasis / epidemiology
  • Schistosomiasis / prevention & control*
  • Ships / statistics & numerical data*
  • Survivors / statistics & numerical data