Data on: Projecting spatiotemporal dynamics of severe fever with thrombocytopenia syndrome in the mainland of China

<p>This dataset is the data used in the paper of Global change biology entitled "<span>Projecting spatiotemporal dynamics of severe fever with thrombocytopenia syndrome in the mainland of China</span>". <span>We use an integrated multi-model, multi-scenario framework to assess the impact of global climate change on SFTS disease in the mainland of China. The SFTS incidence in three time periods (2030-2039, 2050-2059, 2080-2089) is predicted to be increased as compared to the 2010s in the context of various RCPs. The projected spatiotemporal dynamics of SFTS will be heterogeneous across provinces. Notably, we predict possible outbreaks in Xinjiang and Yunnan in the future, where only sporadic cases have been reported previously. </span><span>These findings highlight the need for population awareness of SFTS in endemic regions, and enhanced monitoring in potential risk areas. </span></p>