Modelling the Transmission Dynamics of Severe Fever With Thrombocytopenia Syndrome in Jiangsu Province

Autor: Nan Zhang, Xiao-qing Cheng, Bin Deng, Jia Rui, Luxia Qiu, Zeyu Zhao, Shengnan Lin, Xingchun Liu, Jingwen Xu, Yao Wang, Meng Yang, Yuanzhao Zhu, Jiefeng Huang, Chan Liu, Weikang Liu, Li Luo, Zhuoyang Li, Peihua Li, Tianlong Yang, Zhi-feng Li, Shu-yi Liang, Xiao-chen Wang, Jian-li Hu, Tianmu Chen
Rok vydání: 2020
DOI: 10.21203/rs.3.rs-127285/v1
Popis: Background: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that is regionally distributed in Asia with high fatality. Constructing the transmissibility model of SFTS could help provide clues for the intervention of disease control and fill the gap in the research of the SFTS model.Methods: Based on the Susceptible–Exposed–Infectious–Symptomatic–Recovered (SEIAR) model and combined with the epidemiological characteristics of SFTS in Jiangsu Province. An SFTS transmission dynamics model was built to evaluate the effect through cutting off the different transmission routes and taking different interventions, to offer clues for disease prevention and control, and filled the gap in research of the SFTS model. Results: For the transmission model of SFTS, the fitting effect of case data and model is great. Meanwhile, cutting off the transmission routes of the environment have the greatest effect on the prevention and control of SFTS, but isolation and shorten the course of the disease did not gain more effect.Conclusions: This study is determined that cutting off the transmission routes from the environment to humans had the greatest effect on SFTS prevention and control.
Databáze: OpenAIRE