Spatial analyses of typhoid fever in Jiangsu province, People's Republic of China

Submitted: 16 December 2014
Accepted: 16 December 2014
Published: 1 May 2013
Abstract Views: 2366
PDF: 907
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.


An analysis of the geographical distribution of typhoid incidence rates, based on various statistical approaches such as trend surface, spatial autocorrelation, spatial correlation and spatial regression, was carried out at the county level in Jiangsu province, People's Republic of China. Temperature, moisture content, proximity to water bodies and the normalized difference vegetation index in the autumn were the four underlying factors found to contribute the most to the development of the epidemic. Typhoid infection was most severe in the south-eastern region of Jiangsu and a significant hotspot with high positive autocorrelation was detected in Taicang county in the south-east of the province. To improve the typhoid situation, intervention efforts should be concentrated in the south-eastern region of the province, targeting the hotspot and include reduction of lake pollution.



PlumX Metrics


Download data is not yet available.


How to Cite

Cheng, Y.-J., Tang, F.-Y., Bao, C.-J., Zhu, Y.-F., Liang, Q., Hu, J.-L., Liu, W.-D., Wu, Y., Reilly, K. H., Shen, T.-Q., Zhao, Y., Peng, Z.-H., Yu, R.-B., Wang, H., Shen, H.-B., & Chen, F. (2013). Spatial analyses of typhoid fever in Jiangsu province, People’s Republic of China. Geospatial Health, 7(2), 279–288.

List of Cited By :

Crossref logo