• 1.

    Yu XJ et al. 2011. Fever with thrombocytopenia associated with a novel bunyavirus in China. N Engl J Med 364: 15231532.

  • 2.

    Xu B et al. 2011. Metagenomic analysis of fever, thrombocytopenia and leukopenia syndrome (FTLS) in Henan province, China: discovery of a new bunyavirus. PLoS Pathog 7: e1002369.

    • Search Google Scholar
    • Export Citation
  • 3.

    Ding F et al. 2013. Epidemiologic features of severe fever with thrombocytopenia syndrome in China, 2011–2012. Clin Infect Dis 56: 16821683.

  • 4.

    Liu K et al. 2015. A national assessment of the epidemiology of severe fever with thrombocytopenia syndrome, China. Sci Rep 5: 9679.

  • 5.

    Liu Q, He B, Huang SY, Wei F, Zhu X, 2014. Severe fever with thrombocytopenia syndrome, an emerging tick-borne zoonosis. Lancet Infect Dis 14: 763772.

    • Search Google Scholar
    • Export Citation
  • 6.

    Sun J, Lu L, Wu H, Yang J, Ren J, Liu Q, 2017. The changing epidemiological characteristics of severe fever with thrombocytopenia syndrome in China, 2011–2016. Sci Rep 7: 9236.

    • Search Google Scholar
    • Export Citation
  • 7.

    McMullan LK et al. 2012. A new Phlebovirus associated with severe febrile illness in Missouri. N Engl J Med 367: 834841.

  • 8.

    Takahashi T et al. 2014. The first identification and retrospective study of severe fever with thrombocytopenia syndrome in Japan. J Infect Dis 209: 816827.

    • Search Google Scholar
    • Export Citation
  • 9.

    Shin J, Kwon D, Youn SK, Park JH, 2015. Characteristics and factors associated with death among patients hospitalized for severe fever with thrombocytopenia syndrome, South Korea, 2013. Emerg Infect Dis 21: 17041710.

    • Search Google Scholar
    • Export Citation
  • 10.

    Denic S, Janbeih J, Nair S, Conca W, Tariq WU, Al-Salam S, 2011. Acute thrombocytopenia, leucopenia, and multiorgan dysfunction: the first case of SFTS bunyavirus outside China? Case Rep Infect Dis 2011: 204056.

    • Search Google Scholar
    • Export Citation
  • 11.

    Gai Z et al. 2012. Person to person transmission of severe fever with thrombocytopenia syndrome bunyavirus through blood contact. Clin Infect Dis 54: 249252.

    • Search Google Scholar
    • Export Citation
  • 12.

    Luo LM et al. 2015. Haemaphysalis longicornis ticks as reservoir and vector of severe fever with thrombocytopenia syndrome virus in China. Emerg Infect Dis 21: 17701776.

    • Search Google Scholar
    • Export Citation
  • 13.

    Liu Y, Li Q, Hu W, Wu J, Wang Y, Mei L, Walker DH, Ren J, Wang Y, Yu XJ, 2012. Person-to-person transmission of severe fever with thrombocytopenia syndrome virus. Vector Borne Zoonotic Dis 12: 156160.

    • Search Google Scholar
    • Export Citation
  • 14.

    Gong Z et al. 2015. Probable aerosol transmission of severe fever with thrombocytopenia syndrome virus in southeastern China. Clin Microbiol Infect 21: 11151120.

    • Search Google Scholar
    • Export Citation
  • 15.

    Tang X et al. 2013. Human-to-human transmission of severe fever with thrombocytopenia syndrome bunyavirus through contact with infectious blood. J Infect Dis 207: 736739.

    • Search Google Scholar
    • Export Citation
  • 16.

    Bao CJ et al. 2011. A family cluster of infections by a newly recognized bunyavirus in eastern China, 2007: further evidence of person-to-person transmission. Clin Infect Dis 53: 12081214.

    • Search Google Scholar
    • Export Citation
  • 17.

    Gasparrini A, 2011. Distributed lag linear and non-linear models in R: the package dlnm. J Stat Softw 43: 120.

  • 18.

    Chinese Ministry of Health, 2010. The National Guidelines for Control and Prevention of Severe Fever with Thrombocytopenia Syndrome. Beijing, China: Chinese Ministry of Health. Available at: http://www.moh.gov.cn/mohwsyjbgs/s8348/201010/49272.shtml. Accessed September 29, 2010.

  • 19.

    Liu K et al. 2014. Epidemiologic features and environmental risk factors of severe fever with thrombocytopenia syndrome, Xinyang, China. PLoS Negl Trop Dis 8: e2820.

    • Search Google Scholar
    • Export Citation
  • 20.

    Du Z, Wang Z, Liu Y, Wang H, Xue F, Liu Y, 2014. Ecological niche modeling for predicting the potential risk areas of severe fever with thrombocytopenia syndrome. Int J Infect Dis 26: 18.

    • Search Google Scholar
    • Export Citation
  • 21.

    Wang T, Li XL, Liu M, Song XJ, Zhang H, Wang YB, Tian BP, Xing XS, Li SY, 2017. Epidemiological characteristics and environmental risk factors of severe fever with thrombocytopenia syndrome in Hubei province, China, from 2011 to 2016. Front Microbiol 8: 387.

    • Search Google Scholar
    • Export Citation
  • 22.

    Zhai Y, Li F, Shang X, He F, Lin J, 2016. A study on the association between meteorological factors and severe fever with thrombocytopenia syndrome. Zhejiang Prev Med 28: 117120.

    • Search Google Scholar
    • Export Citation
  • 23.

    Zhu J et al. 2017. The burden of ambient air pollution on years of life lost in Wuxi, China, 2012–2015: a time-series study using a distributed lag non-linear model. Environ Pollut 224: 689697.

    • Search Google Scholar
    • Export Citation
  • 24.

    Guo P, Zheng M, Feng W, Wu J, Deng C, Luo G, Wang L, Pan B, Liu H, 2017. Effects of ambient temperature on stroke hospital admissions: results from a time-series analysis of 104,432 strokes in Guangzhou, China. Sci Total Environ 15: 307315.

    • Search Google Scholar
    • Export Citation
  • 25.

    Zhang Y, Li C, Feng R, Zhu Y, Wu K, Tan X, Ma L, 2016. The short-term effect of ambient temperature on mortality in Wuhan, China: a time-series study using a distributed lag non-linear model. Int J Environ Res Public Health 18: 13.

    • Search Google Scholar
    • Export Citation
  • 26.

    Xiang J et al. 2017. Association between dengue fever incidence and meteorological factors in Guangzhou, China, 2005–2014. Environ Res 153: 1726.

    • Search Google Scholar
    • Export Citation
  • 27.

    Zhao D et al. 2017. Impact of weather factors on hand, foot and mouth disease, and its role in short-term incidence trend forecast in Huainan city, Anhui province. Int J Biometeorol 61: 453461.

    • Search Google Scholar
    • Export Citation
  • 28.

    Huang R, Bian G, He T, Chen L, Xu G, 2016. Effects of meteorological parameters and PM10 on the incidence of hand, foot, and mouth disease in children in China. Int J Environ Res Public Health 13: 5.

    • Search Google Scholar
    • Export Citation
  • 29.

    Yin F, Zhang T, Liu L, Lv Q, Li X, 2016. The association between ambient temperature and childhood hand, foot, and mouth disease in Chengdu, China: a distributed lag non-linear analysis. Sci Rep 6: 27305.

    • Search Google Scholar
    • Export Citation
  • 30.

    Sun J, Wu H, Wang J, Cui B, Liu Q, 2010. Study on Haemaphysalis longicornis eclosion conditions and establishment of laboratory population. Chin Prev Med 11: 196197.

    • Search Google Scholar
    • Export Citation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 

 

 

Association between Severe Fever with Thrombocytopenia Syndrome Incidence and Ambient Temperature

View More View Less
  • 1 State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China;
  • | 2 Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
Restricted access

Severe fever with thrombocytopenia syndrome (SFTS) is emerging in China. To explore the lagged effects and nonlinear association between temperature and SFTS, we collected data on ambient temperature and SFTS cases and analyzed the data using a distributed lag nonlinear model. A total of 1,933 SFTS cases were reported in the study area from 2011 to 2015. Our study revealed a nonlinear relationship between weekly temperature and SFTS. The exposure–response curve was an approximately reversed U-shaped peak at 23°C. High temperatures had acute and short-term effects, whereas low temperatures had persistent and long-term effects. The effects of lower temperatures (1.62°C and 6.97°C) could last 24 weeks, but the effect of 29.30°C was not significant at lag 8 weeks. Our results provide information to better understand the effect of temperature variation on SFTS and may have policy implications for disease prevention and control.

Author Notes

Address correspondence to Qiyong Liu, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China. E-mail: liuqiyong@icdc.cn

Financial support: The study was supported by the National Key Research and Development Program of China (Nos. 2016YFC1200802 and 2017FY101202) and the medical research program of Zhejiang Province (Nos. 2017KY291 and 2018KY338).

Authors’ addresses: Jimin Sun, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China, E-mail: jmsun@cdc.zj.cn. Liang Lu, Jun Yang, Keke Liu, Haixia Wu, and Qiyong Liu, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China, E-mails: luliang@icdc.cn, smart_yjun@163.com, kekegood66@126.com, wuhaixia@icdc.cn, and liuqiyong@icdc.cn.

These authors contributed equally to this work.

Save