Time series models in prediction of severe fever with thrombocytopenia syndrome cases in Shandong province, China

Author:

Wang Zixu,Zhang Wenyi,Wu Ting,Lu Nianhong,He Junyu,Wang Junhu,Rao Jixian,Gu Yuan,Cheng Xianxian,Li Yuexi,Qi YongORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Infectious Diseases,Health Policy

Reference26 articles.

1. Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model;Battineni;Applied Computing and Informatics,2020

2. Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea;Cho;Scientific Reports,2021

3. Meteorological factors and tick density affect the dynamics of SFTS in jiangsu province, China;Deng;PLoS Negl Trop Dis,2022

4. The Animal Origin of Major human infectious diseases: What can Past Ep idemics Teach Us about preventing the next Pandemic?;Dharmarajan;Zoonoses,2022

5. Risk factors for bunyavirus-associated severe Fever with thrombocytopenia syndrome, China;Ding;PLoS Negl Trop Dis,2014

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