Space-Time Clustering Characteristics of Tuberculosis in China, 2005-2011: e83605

Objectives China is one of the 22 tuberculosis (TB) high-burden countries in the world. As TB is a major public health problem in China, spatial analysis could be applied to detect geographic distribution of TB clusters for targeted intervention on TB epidemics. Methods Spatial analysis was applied...

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Bibliographic Details
Published in:PloS one 2013-12, Vol.8 (12)
Main Authors: Zhao, Fei, Cheng, Shiming, He, Guangxue, Huang, Fei, Zhang, Hui, Xu, Biao, Murimwa, Tonderayi C, Cheng, Jun, Hu, Dongmei, Wang, Lixia
Format: Article
Language:English
Subjects:
Mycobacterium
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Summary:Objectives China is one of the 22 tuberculosis (TB) high-burden countries in the world. As TB is a major public health problem in China, spatial analysis could be applied to detect geographic distribution of TB clusters for targeted intervention on TB epidemics. Methods Spatial analysis was applied for detecting TB clusters on county-based TB notification data in the national notifiable infectious disease case reporting surveillance system from 2005 to 2011. Two indicators of TB epidemic were used including new sputum smear-positive (SS+) notification rate and total TB notification rate. Global Moran's I by ArcGIS was used to assess whether TB clustering and its trend were significant. SaTScan software that used the retrospective space-time analysis and Possion probability model was utilized to identify geographic areas and time period of potential clusters with notification rates on county-level from 2005 to 2011. Results Two indicators of TB notification had presented significant spatial autocorrelation globally each year (p
ISSN:1932-6203
DOI:10.1371/journal.pone.0083605