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Objective  This study aimed to describe the spatial and temporal trends of  Shigella  incidence rates in Jiangsu Province, People's 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.    Results  The far southwestern and northwestern areas of Jiangsu were the most infected. A cluster was detected in southwestern Jiangsu ( LLR  = 11674.74,  P <0.001). The time series model was established as ARIMA (1, 12, 0), which predicted well for cases from August to December, 2011. Highways and water sources potentially caused spatial variation in  Shigella  development in Jiangsu. The case-control study confirmed not washing hands before dinner ( OR  = 3.64) and not having access to a safe water source ( OR  = 2.04) as the main causes of  Shigella  in Jiangsu Province.    Conclusion  Improvement of sanitation and hygiene should be strengthened in economically developed counties, while access to a safe water supply in impoverished areas should be increased at the same time.

Spatio-Temporal Trends and Risk Factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China