Frontiers in Public Health (Feb 2022)

Severe Fever With Thrombocytopenia Syndrome in Southeastern China, 2011–2019

  • Mingyong Tao,
  • Ying Liu,
  • Feng Ling,
  • Yijuan Chen,
  • Rong Zhang,
  • Jiangping Ren,
  • Xuguang Shi,
  • Song Guo,
  • Ye Lu,
  • Jimin Sun,
  • Jianmin Jiang

DOI
https://doi.org/10.3389/fpubh.2021.803660
Journal volume & issue
Vol. 9

Abstract

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IntroductionSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease, and the number of cases has increased in recent years in Zhejiang Province, China. However, whether the seasonal distribution, geographic distribution, and demographic characteristics of SFTS have changed with the increase of incidence was unclear.Materials and MethodsData on SFTS cases in Zhejiang Province and tick density in Daishan County from 2011 to 2019 were collected. The changing epidemiological characteristics of SFTS including seasonal distribution, geographical distribution, and demographic features were analyzed using descriptive statistical methods, Global Moran's I, local Getis-Ord Gi* statistic, and spatial scan statistic.ResultsA total of 463 SFTS cases including 53 (11.45%) deaths were reported from 2011 to 2019 in Zhejiang Province, and the annual number of cases showed increasing tendency. SFTS cases were reported in almost half of the counties (40/89) of Zhejiang Province. Elderly farmers accounted for most cases and the proportion of farmers has increased. Most cases (81.21%) occurred during April and August. The interval from illness onset to confirmation was significantly shortened (Z = 5.194, p < 0.001). The majority of cases were reported in Zhoushan City from 2011 to 2016, but most cases were reported in Taizhou City since 2017.DiscussionWe observed dynamic changes in the seasonal distribution, geographical distribution, and demographic features of SFTS, and comprehensive intervention measures, such as clearance of breeding sites, killing of tick adults, and health education should be strengthened in farmers of the key areas according to the changed epidemiological characteristics.

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