Abstract: Objective To analyze the epidemiological characteristics and spatiotemporal distribution features of dengue fever in Shantou City from 2011 to 2020,to provide a reference basis for formulating precise prevention and control strategies. Methods Data on dengue fever outbreaks in Shantou City from 2011 to 2020 were collected. Descriptive epidemiology,spatial autocorrelation analysis,and spatiotemporal scan statistic were used to analyze the patterns of dengue fever. Results From 2011 to 2020,a total of 1 271 cases of dengue fever were reported in Shantou City,with an average annual incidence rate of 2.23/100 000. Among them,there were 1 153 local cases（90.72%）. Dengue fever cases were reported in all seven districts of Shantou City,and the number of local cases was positively correlated with the number of imported cases （r_s=0.83,P<0.05）. The results of spatial autocorrelation analysis indicated that the local cases showed significant spatial clustering in 2014 and 2019,16 "hot spot" areas were identified,with no "cold spot" areas in the city. A total of four local case cluster areas were detected by spatiotemporal scanning：the first type of cluster area involving 17 streets （towns） in Jinping District and Longhu District,with the clustering period from July to September 2019;the other three cluster areas were distributed in Chaonan District （two） and Chaoyang District （one）. Conclusions The dengue fever epidemic in Shantou City has obvious spatiotemporal clustering characteristics,with a correlation between local cases and imported cases in terms of spatial and temporal clustering. Targeted prevention and control measures should be taken before the epidemic season and in high-incidence streets （towns）.

Key words: Dengue fever, Epidemiological characteristics, Spatiotemporal clustering