Literature DB >> 33096512

Epidemic character and environmental factors in epidemic areas of severe fever with thrombocytopenia syndrome in Shandong Province.

Xu Wang1, Chang Qi1, Dan-Dan Zhang1, Chun-Yu Li1, Zhao-Lei Zheng1, Pei-Zhu Wang1, Qin-Qin Xu2, Shu-Jun Ding3, Xiu-Jun Li4.   

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging lethal tick-borne disease that has been widely prevalent in East Asia in recent years, and raised an important public health problem in China. However, a comprehensive and thorough understanding of the current SFTS epidemic areas in Shandong Province is not available. Accordingly, a descriptive analysis was applied to explore the demographic and spatio-temporal features of SFTS cases in Shandong Province from 2010 to 2015. The division between epidemic areas and non-epidemic areas was given by maximum entropy niche model (MaxEnt) based on environmental factors such as temperature and precipitation. There were 1,786 SFTS cases between 2010 and 2015 in Shandong, mainly involving middle-aged and elderly individuals (age:40-80) and farmers (84.6 %). May-October was the high-incidence period and the SFTS cases were mostly clustered in the central and eastern regions of Shandong Province. In light of MaxEnt, 3 specific environmental features between dichotomous areas were identified, including 1) most epidemic areas are covered by acidic soils (Constituent ratio: 63.8 %) while 29.1 % coverage appears in non-epidemic areas, 2) compared with non-epidemic areas, the identical kinds of agricultural areas accounted for a higher constituent ratio (64.9 % vs. 42.7 %), and 3) lower level of annual temperature in epidemic areas compared to non-epidemic areas [Median: 13.2℃ vs. 14.2℃; (25th IQR, 75th IQR): (12.5, 13.7) vs. (13.6, 14.9)]. Our study suggests middle-aged and elderly farmers are high-risk population to be focused on in future prevention and acidic soils, agricultural activities as well lower temperature that may be related to increased SFTS incidence.
Copyright © 2020 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Emerging tick-borne disease; Environmental factors

Mesh:

Year:  2020        PMID: 33096512     DOI: 10.1016/j.ttbdis.2020.101593

Source DB:  PubMed          Journal:  Ticks Tick Borne Dis        ISSN: 1877-959X            Impact factor:   3.744


  3 in total

1.  Meteorological factors and tick density affect the dynamics of SFTS in jiangsu province, China.

Authors:  Bin Deng; Jia Rui; Shu-Yi Liang; Zhi-Feng Li; Kangguo Li; Shengnan Lin; Li Luo; Jingwen Xu; Weikang Liu; Jiefeng Huang; Hongjie Wei; Tianlong Yang; Chan Liu; Zhuoyang Li; Peihua Li; Zeyu Zhao; Yao Wang; Meng Yang; Yuanzhao Zhu; Xingchun Liu; Nan Zhang; Xiao-Qing Cheng; Xiao-Chen Wang; Jian-Li Hu; Tianmu Chen
Journal:  PLoS Negl Trop Dis       Date:  2022-05-09

2.  Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea.

Authors:  Giphil Cho; Seungheon Lee; Hyojung Lee
Journal:  Sci Rep       Date:  2021-11-08       Impact factor: 4.379

Review 3.  Climate Change and Vector-Borne Diseases in China: A Review of Evidence and Implications for Risk Management.

Authors:  Yurong Wu; Cunrui Huang
Journal:  Biology (Basel)       Date:  2022-02-25
  3 in total

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