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Full-Text Articles in Medicine and Health Sciences
Spatial And Temporal Clustering Analysis Of Tuberculosis In The Mainland Of China At The Prefecture Level, 2005-2015, Meng-Yang Liu, Qi-Huan Li, Ying-Jie Zhang, Yuan Ma, Yue Liu, Wei Feng, Cheng-Bei Hou, Endawoke Amsalu, Xia Li, Wei Wang, Wei-Min Li, Xiu-Hua Guo
Spatial And Temporal Clustering Analysis Of Tuberculosis In The Mainland Of China At The Prefecture Level, 2005-2015, Meng-Yang Liu, Qi-Huan Li, Ying-Jie Zhang, Yuan Ma, Yue Liu, Wei Feng, Cheng-Bei Hou, Endawoke Amsalu, Xia Li, Wei Wang, Wei-Min Li, Xiu-Hua Guo
Research outputs 2014 to 2021
BACKGROUND: Tuberculosis (TB) is still one of the most serious infectious diseases in the mainland of China. So it was urgent for the formulation of more effective measures to prevent and control it.
METHODS: The data of reported TB cases in 340 prefectures from the mainland of China were extracted from the China Information System for Disease Control and Prevention (CISDCP) during January 2005 to December 2015. The Kulldorff's retrospective space-time scan statistics was used to identify the temporal, spatial and spatio-temporal clusters of reported TB in the mainland of China by using the discrete Poisson probability model. Spatio-temporal clusters …