Syndromic surveillance using ambulance transfer data in Tokyo, Japan

J Infect Chemother. 2020 Jan;26(1):8-12. doi: 10.1016/j.jiac.2019.09.011. Epub 2019 Oct 11.

Abstract

Bioterrorism attacks become more probable when important high-profile international or political events are held, such as G7 summit meetings or mass gathering events including Olympic and Paralympic games and FIFA World Cup tournaments. Outbreaks of infectious disease and widespread incidents of food poisoning are also public health concerns at such times. In Japan, the Tokyo Metropolitan Government operates Ambulance Transfer Syndromic Surveillance (ATSS), which can help monitor such incidents. The present study presents and assesses the ATSS framework. During the study period of October 2017 through November 2018, we monitored 33 areas for symptoms of 9 categories: vomiting/nausea, dizziness, palpitation, unconsciousness, breathing disorder, fever, spasm/paralysis, collapse/weakness, and bloody emesis/nasal hemorrhage. Among all symptoms, we found 9929 low-level aberrations, 2537 medium-level aberrations, and 577 high-level aberrations, with respective frequencies of 9.2%, 2.3%, and 0.5%. Of those, Tokyo Metropolitan Institute of Public Health reported the information to Tokyo Metropolitan Government 28 times during the period. Of the 28 identified clusters, Tokyo Metropolitan Government judged the necessity for investigating 7. All of those were investigated at hospitals by the jurisdictional public health center. Because ATSS covers almost the entire Tokyo metropolitan area, with about 13.8 million residents, it is definitely the largest syndromic surveillance in the world.

Keywords: Ambulance transfer; Bioterrorism attack; Food poisoning; Infectious diseases; Mass gathering; Syndromic surveillance.

Publication types

  • Review

MeSH terms

  • Ambulances*
  • Bioterrorism*
  • Communicable Diseases / diagnosis
  • Communicable Diseases / physiopathology
  • Disaster Planning
  • Disease Outbreaks* / prevention & control
  • Disease Outbreaks* / statistics & numerical data
  • Foodborne Diseases
  • Humans
  • Models, Organizational
  • Sentinel Surveillance*
  • Tokyo