Spatial and temporal clustering analysis of tuberculosis in the mainland of China at the prefecture level, 2005-2015.

ABSTRACT:

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 of sputum smear-positive (SS+) reported TB and sputum smear-negative (SS-) reported TB were also detected at the prefecture leve

SUBMITTER: Liu MY 

PROVIDER: S-EPMC6195697 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature