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

This dataset is the data used in the paper of Global change biology
entitled "Projecting spatiotemporal dynamics of severe fever
with thrombocytopenia syndrome in the mainland of China". 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. These findings highlight the need for
population awareness of SFTS in endemic regions, and enhanced monitoring
in potential risk areas.