ABSTRACT
Objective @#To investigate the spatiotemporal clustering characteristics of hand, foot, and mouth disease in Shangcheng District, Hangzhou City in 2021, so as to provide insights into prevention and control of hand, foot, and mouth disease. @*Methods@#Data pertaining to the incidence of hand, foot and mouth disease in Shangcheng District in 2021 were collected from Chinese Disease Prevention and Control Information System, spatial and temporal distribution of hand, foot and mouth disease were described, and the spatiotemporal clusters were identified.@*Results@#A total of 2 473 cases with hand, foot and mouth disease were reported in Shangcheng District in 2021, with a reported incidence rate of 186.86/105. The incidence of hand, foot and mouth disease appeared a bimodal distribution, with the first peak seen during the period between May and July (1 164 cases, 47.07%) and the second peak during the period between October and December (659 cases, 26.65%). Hand, foot and mouth disease was reported across all streets in Shangcheng District, with the highest incidence seen in Dinglan Street (398.84/105). There were one primary cluster and ten secondary clusters of hand, foot and mouth disease, and the primary cluster was centered in Jianqiao Street with 1.81 km in radius, which covered 9 communities in Jianqiao Street and was clustered during the period from March 19 and April 13. Of the 10 secondary clusters, there were three clusters in Dinglan Street, one in each of Jiubao, Sijiqing, Wangjiang and Kaixuan streets, and three clusters crossing streets. In addition, no spatiotemporal clusters of hand, foot and mouth disease were identified in Nanxing Street, Qingbo Street or Ziyang Street.@*Conclusion@#There was a remarkable spatiotemporal cluster in the incidence of hand, foot and mouth disease in Shangcheng District in 2021, with the peaks in incidence from May to July and from October to December, and the incidence of hand, foot and mouth disease was mainly clustered in the urban-rural junction and the central urban regions.