To analyze the spatiotemporal patterns of severe fever with thrombocytopenia syndrome (SFTS) in Qingdao from 2014 to 2025 and make predictions about future trends.
Conducted spatiotemporal clustering analysis of SFTS cases in Qingdao.
Utilized predictive modeling techniques to forecast future incidence rates.
Analyzed historical data from 2014 to present to assess trends.
SFTS cases in Qingdao demonstrate significant spatiotemporal clustering.
The frequency of SFTS cases is increasing over time, indicating a growing public health concern.
Predictions suggest this upward trend will continue through 2025.
Abstract
SFTS in Qingdao exhibits obvious spatiotemporal clustering, and the number of cases continues to show an increasing trend.