ArticleInfectious diseases of poverty2016
Spatial and temporal analysis of tuberculosis in Zhejiang Province, China, 2009-2012.
Article in Infectious diseases of poverty, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.
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Who cites it
55 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.
- Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.BMC medicine · 2018Pooled it
- A First Insight into the Genetic Diversity and Drug Susceptibility Pattern ofBioMed research international · 2016Trial
- Epidemiological characteristics of tuberculosis among migrant populations and key predictors of migratory cases in Zhejiang Province.Frontiers in public health · 2026Article
- Epidemiological analysis and risk factors of recurrent pulmonary tuberculosis in Western Zhejiang Province, China (2007-2024).Frontiers in public health · 2026Article
- Impact of Drug-Resistant Tuberculosis Prevention and Control Strategies in Southeast China: Evidence from a Longitudinal Study on Disease Epidemic Trends and Predictions Across 15 Years.Infection and drug resistance · 2026Article
- Care-seeking and treatment pathways of multidrug-resistant tuberculosis patients: an analysis of real-world data from regional health information system in Ningbo City in Eastern China.Annals of medicine · 2025Article
- Spatial heterogenicity of tuberculosis and dengue in Nepal.Scientific reports · 2025Article
- Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017-2023).BMC public health · 2025Article
- The association between pulmonary tuberculosis recurrence and exposure to fine particulate matter and residential greenness: A population-based retrospective study.One health (Amsterdam, Netherlands) · 2025Article
- Spatial pattern and heterogeneity of green view index in mountainous cities: a case study of Yuzhong district, Chongqing, China.Scientific reports · 2025Article
- Space-time cluster analysis and maximum entropy modeling of Peste des petits ruminants (PPR) in Türkiye.Tropical animal health and production · 2024Article
- Analyzing spatial delays of tuberculosis from surveillance and awareness surveys in Eastern China.Scientific reports · 2024Article
- Modeling tuberculosis transmission flow in China, 2010-2012.BMC infectious diseases · 2024Article
- Pulmonary Tuberculosis Notification Rate Within Shenzhen, China, 2010-2019: Spatial-Temporal Analysis.JMIR public health and surveillance · 2024Article
- Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study.Frontiers in 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
- Spatiotemporal analysis of tuberculosis in the Hunan Province, China, 2014-2022.Frontiers in public health · 2024Article
- Integrating Molecular Diagnostics and GIS Mapping: A Multidisciplinary Approach to Understanding Tuberculosis Disease Dynamics in South Africa Using Xpert MTB/RIF.Diagnostics (Basel, Switzerland) · 2023Article
- Spatiotemporal Changes in Pulmonary Tuberculosis Incidence in a Low-Epidemic Area of China in 2005-2020: Retrospective Spatiotemporal Analysis.JMIR public health and surveillance · 2023Article
- Spatial-temporal analysis of pulmonary tuberculosis among students in the Zhejiang Province of China from 2007-2020.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTuberculosis (TB) is an infectious disease of major public health concern. The disease has demonstrated large space-time variations. This study aims to explore the space-time dynamics of TB cases in an economically and geographically dynamic province in China with specific references of TB control for policy makers.
methodsData on all reported TB cases from 2009 to 2012 were collected from the TB program at the Zhejiang Provincial Center for Disease Control and Prevention. We employed time series and exploratory spatial data analyses, including Moran's I, Local Getis's G i (*) , and Kulldorff's space-time scan statistics, to identify the temporal trends and spatial patterns of TB at a county level.
resultsA total of 147,941 TB cases were reported during 2009-2012 in Zhejiang. A higher proportion of TB cases were younger, male, and registered permanent residents among all TB cases notified in the province. TB cases were reported most frequently in April with small peaks in June, July, and October. This disease was spatially clustering with Moran's I values ranged from 0.29 to 0.32 (p < 0.001). A most likely cluster and ten secondary clusters were identified, mainly concentrated in the southeast and west counties of the province.
conclusionsThis study identified seasonal patterns and significant space-time clusters of TB cases in Zhejiang, China. Poverty, migration, and seasonal effects may play important roles in potential clusters.
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