The changing epidemiological characteristics of severe fever with thrombocytopenia syndrome in China, 2011-2016

Sci Rep. 2017 Aug 23;7(1):9236. doi: 10.1038/s41598-017-08042-6.

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is emerging and the number of SFTS cases increased year by year in China. In order to explore the epidemiology trend, we analyzed the changing epidemiological characteristics of SFTS cases in different years and compare characteristics in different provinces. From 2011 to 2016, a total of 5360 laboratory-confirmed SFTS cases were reported and annual case numbers increased year by year. Most SFTS cases occurred in individuals aged between 40 years and 80 years (91.57%), but age distributions of SFTS cases in different years were significantly different and the median ages increased slightly year by year. The numbers of affected counties from 2011 to 2016 increased sharply from 98 to 167. Of note, the seasonal distributions of SFTS cases in different provinces were significantly different (Fisher = 712.157, P = 0.000) and provinces in south regions showed earlier epidemic peak and longer epidemics durations. The median time from illness onset to confirmation of different years was significantly different (χ2 = 896.088, P = 0.000) and it peaked in 2014. Furthermore, case fatality rate was associated with province, year, and age of SFTS cases. These results may be helpful for authorities to better preventive strategy and improve interventions against SFTS.

Publication types

  • Historical Article
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • China / epidemiology
  • Communicable Diseases, Emerging / epidemiology*
  • Communicable Diseases, Emerging / history
  • Communicable Diseases, Emerging / virology*
  • Female
  • History, 21st Century
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Patient Outcome Assessment
  • Phlebotomus Fever / epidemiology*
  • Phlebotomus Fever / history
  • Phlebotomus Fever / virology*
  • Phlebovirus / physiology*
  • Population Surveillance
  • Risk Factors
  • Seasons