ArticlePloS one2013
Space-time clustering characteristics of tuberculosis in China, 2005-2011.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
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Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review.BMC infectious diseases · 2022Pooled it
- Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.BMC medicine · 2018Pooled it
- Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis.PloS one · 2015Trial
- Spatiotemporal distribution and clinical manifestations of moyamoya disease in Jiangxi Province, China: a retrospective hospital-based study.BMJ public health · 2026Article
- Spatiotemporal analysis of pulmonary tuberculosis in the central region of the Zhejiang Province, China (2016-2024).Frontiers in public health · 2025Article
- Geographical Distribution, Spatial Directional Trends, and Spatio-Temporal Clusters of the First Rapid and Widespread Lumpy Skin Disease Outbreaks in Thailand.Transboundary and emerging diseases · 2025Article
- The identification and spatial distribution of hotspots of tuberculosis occurrence in South Africa.BMC research notes · 2024Article
- The spatial-temporal distribution of hepatitis B virus infection in China,2006-2018.BMC infectious diseases · 2024Article
- Modeling tuberculosis transmission flow in China, 2010-2012.BMC infectious diseases · 2024Article
- Spatial spillover effect of environmental factors on the tuberculosis occurrence among the elderly: a surveillance analysis for nearly a dozen years in eastern China.BMC public health · 2024Article
- Spatiotemporal distribution and risk factors for patient and diagnostic delays among groups with tuberculous pleurisy: an analysis of 5-year surveillance data in eastern China.Frontiers in public health · 2024Article
- Spatial-temporal analysis of pulmonary tuberculosis in Hubei Province, China, 2011-2021.PloS one · 2023Article
- Time trend prediction and spatial-temporal analysis of multidrug-resistant tuberculosis in Guizhou Province, China, during 2014-2020.BMC infectious diseases · 2022Article
- Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013-2017.BMC infectious diseases · 2022Article
- Prevalence and spatial distribution characteristics of human echinococcosis in China.PLoS neglected tropical diseases · 2021Article
- Influential factors and spatial-temporal distribution of tuberculosis in mainland China.Scientific reports · 2021Article
- Article
- Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018.BMC infectious diseases · 2020Article
- Space-Time Clustering Characteristics of Tuberculosis in Khyber Pakhtunkhwa Province, Pakistan, 2015-2019.International journal of environmental research and public health · 2020Article
- The association between internal migration and pulmonary tuberculosis in China, 2005-2015: a spatial analysis.Infectious diseases of poverty · 2020Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesChina 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.
methodsSpatial 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.
resultsTwo indicators of TB notification had presented significant spatial autocorrelation globally each year (p<0.01). Global Moran's I of total TB notification rate had positive trend as time went by (t=6.87, p<0.01). The most likely clusters of two indicators had similar spatial distribution and size in the south-central regions of China from 2006 to 2008, and the secondary clusters in two regions: northeastern China and western China. Besides, the secondary clusters of total TB notification rate had two more large clustering centers in Inner Mongolia, Gansu and Qinghai provinces and several smaller clusters in Shanxi, Henan, Hebei and Jiangsu provinces.
conclusionThe total TB notification cases clustered significantly in some special areas each year and the clusters trended to aggregate with time. The most-likely and secondary clusters that overlapped among two TB indicators had higher TB burden and risks of TB transmission. These were the focused geographic areas where TB control efforts should be prioritized.
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