Objective To analyze the spatial-temporal aggregation of other infectious diarrhea (OID) in Songjiang District, Shanghai, from 2018 to 2022, and to provide a basis for the formulation of scientific prevention and control measures of intestinal infectious disease. Methods Surveillance data of OID cases in Songjiang District, Shanghai, from 2018 to 2022 were collected from China Information System for Disease Control and Prevention. ArcMap software version 10.7 was applied to detect spatial autocorrelation analysis, and SaTScan software version 10.1.2 was applied in spatial-temporal scan analysis. Results A total of 2 996 OID cases were reported in Songjiang District between 2018 and 2022, with an average annual incidence rate of 29.26/100 000. The sex ratio of OID cases was 1.24:1, and majority of cases occurred in the age group 0-4 years (44.91%). Occupation of OID cases was mainly scattered children (42.36%), students (9.91%) and children in kindergarten or nursery (8.98%). Positive spatial autocorrelation of OID between 2018 and 2021 was identified at the township level in the global spatial autocorrelation analysis. Local spatial autocorrelation analysis indicated that the hot-spot areas of OID incidence were Fangsong Street, Yueyang Street, Zhongshan Street and Yongfeng Street, respectively, which were all distributed in the main urban area of Songjiang District. Three high-risk spatial-temporal clusters of OID incidence were identified through the spatial-temporal scan analysis. The primary spatial-temporal cluster covered 4 streets in the main urban area of Songjiang (RR=4.06, LRR=515.06, P<0.05). The secondary spatial-temporal cluster covered 2 streets/towns in northeastern area of Songjiang (RR=2.59, LRR=12.04, P<0.05). The tertiary spatial-temporal aggregation areas covered 4 streets/towns in both northwestern and main urban area of Songjiang (RR=2.65, LRR=11.51, P<0.05). Conclusion From 2018 to 2022, the overall incidence of other infectious diarrhea in Songjiang District showed a fluctuating downward trend, and there was a certain degree of spatiotemporal clustering. It is necessary to strengthen the prevention and control measures of OID for key populations in the clustering area before epidemic seasons.