This dataset is the data used in the paper of Global change biology entitled "Climate drives the spatiotemporal dynamics of scrub typhus in China". We incorporate Chinese national surveillance data on scrub typhus from 2010 to 2019 into a climate-driven generalized additive mixed model to explain the spatiotemporal dynamics of this disease and predict how it may be affected by climate change under various representative concentration pathways (RCPs) for three future time periods (the 2030s, 2050s, and 2080s). This dataset provides important information on the projected cases of scrub typhus in mainland China under various RCPs (RCP4.5, RCP6.0, and RCP8.5) for three future time periods, which can help public health authorities refine their prevention and control measures to reduce the disease risk.

See the Materials and methods section in the original paper.

Microsoft Excel are required to open the data files.