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Objectives: This study aimed to describe the spatial and temporal trends of Shigella incidence rates in Jiangsu Province, Peoples Republic of China.It also intended to explore complex risk modes facilitating Shigella transmission.Methods: County-level incidence rates were obtained for analysis using geographic information system (GIS) tools.Trend surface and incidence maps were established to describe geographic distributions.Spatio-temporal cluster analysis and autocorrelation analysis were used for detecting clusters.Based on the number of monthly Shigella cases, an autoregressive integrated moving average (ARIMA) model successfully established a time series model.A spatial correlation analysis and a case-control study were conducted to identify risk factors contributing to Shigella transmissions.