Abstract: Objective To analyze the epidemiological characteristics and spatial‐temporal clustering of intestinal infectious diseases in Yunfu City from 2013 to 2022. Methods The reported data of intestinal infectious diseases in Yunfu City from 2013 to 2022 were collected. Descriptive epidemiological methods, spatial autocorrelation analysis, and spatial‐temporal scanning statistics were used to analyze the reported incidence of intestinal infectious diseases. Results From 2013 to 2022, Yunfu City reported eight kinds of notifiable intestinal infectious diseases, with a total of 93 334 cases reported, with an annual reported incidence of 10.45 per 10 000 to 56.76 per 10 000, and an annual reported incidence of 39.16 per 10 000. The reported intestinal infectious diseases were mainly hand, foot and mouth disease and other infectious diarrheal diseases, accounting for 97.39% of the reported intestinal infectious diseases, and the annual reported incidence was 33.18 per 10 000 and 4.95 per 10 000, respectively. The reported incidence rate showed a decreasing trend （trend c²=65.837, P<0.01）. The incidence was seasonal, with bimodal distribution （May‐July and September‐October）, and at a low level from December to March. Cases were reported in all age groups, among which the group of 0-4 years old reported the most cases （77 118 cases, accounting for 82.63%）. The results of spatial autocorrelation analysis showed that the incidence of intestinal infectious diseases reported in Yunfu City from 2013 to 2022 showed a spatial positive correlation at the street （town） scale （global Moran's I was 0.592, Z=7.439, P<0.05）, with spatial clustering. Hand, foot and mouth disease had different “hot spots” with high incidence. Spatial‐temporal scanning analysis showed that there were obvious spatial‐temporal clusters of intestinal infectious diseases in Yunfu City from 2013 to 2022, with one cluster area of class Ⅰ and one cluster area of class Ⅱ and one cluster season （May to October）. Hand, foot and mouth disease and other infectious diarrhea diseases had different cluster areas and cluster seasons （months）. Conclusions The intestinal infectious diseases reported in Yunfu City showed obvious spatial‐temporal clustering from 2013 to 2022. Targeted prevention and control measures should be taken in pre‐epidemic season and high‐risk streets （towns）.

Key words: Intestinal infectious diseases, Spatial‐temporal distribution, Epidemiological characteristics, Spatial autocorrelation, Spatial‐temporal scanning, Trend analysis