Abstract: OBJECTIVE To observe the epidemiological characteristics and spatiotemporal cluster of other infectious diarrhea (OID) in Binzhou City from 2015 to 2024 so as to provide scientific bases for optimization of prevention and control strategies. METHODS The data regarding to the OID from 2015 to 2024 cases were obtained from China Information System for Disease Control and Prevention. The incidence trend of OID was analyzed by Joinpoint regression model, and the epidemiological characteristics and spatiotemporal clusters were explored by means of descriptive epidemiological analysis method and spatiotemporal cluster scanning statistical method. RESULTS From 2015 to 2024, a total of 62,412 cases of OID were accumulatively reported in Binzhou City, with an incidence rate of 159.76 per 100,000 population reported on annual average. The Joinpoint regression model indicated that the incidence rate of OID reported in Binzhou City from 2015 to 2024 showed upward trendthe average annual percent change (AAPC) = 7.25%, P＜ 0.001. The affected population primarily consisted of farmers (41.47%, 25, 882 cases) and scattered children (39.29%, 24, 521 cases). The incidence exhibited a bimodal seasonal distribution, with peaks occurring in the summer-autumn period (June-August) and the winter-spring period (December-March); specifically, the summer-autumn peak showed clustering, with the risk of onset being 1.23 times as high as that in other seasons (RR = 1.23, P＜ 0.001). Spatiotemporal scanning analysis revealed significant spatiotemporal clusters of OID in Binzhou City: one cluster was identified in Zhanhua District, Wudi County, and Boxing County (lasting for 4 years); the other emerged in Zouping City during August-September, 2024 (lasting for 2 months), where the risk of onset was 2.40 times as high as that in other regions (P＜ 0.001). CONCLUSIONS From 2015 to 2024, OID maintains a high epidemic level in Binzhou City, and the incidence rate is remarkably increased. Farmers and scattered children constitute the high-risk populations, and the regional epidemic intensity exhibits heterogeneity. It is crucial to strengthen the etiological surveillance of high-risk populations in key areas and take precise prevention and control measures so as to control the epidemic.