ArticleBMC public health2020
Spatiotemporal characteristics and the epidemiology of tuberculosis in China from 2004 to 2017 by the nationwide surveillance system.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Geo-spatial high-risk clusters of Tuberculosis in the global general population: a systematic review.BMC public health · 2023Pooled it
- Age-period-cohort analysis of pulmonary tuberculosis epidemiological trends from 2005 to 2024 and forecasts for 2035 in Sichuan Province, China.Frontiers in public health · 2026Article
- Trends and Characteristics of Drug-Resistant Tuberculosis: A Five-Year Study at a Major Specialized Hospital in Guizhou, China (2018-2023).Infection and drug resistance · 2026Article
- Trend analysis of changes in the incidence of tuberculosis in Shenzhen from 2010 to 2020 based on the Joinpoint regression model.BMC public health · 2025Article
- Trends in epidemiological characteristics of pulmonary tuberculosis among children and youth in Chinese mainland from 2019 to 2024: analysis of national surveillance data.BMC public health · 2025Article
- From Patterns to Projections: A Spatiotemporal Distribution of Drug-Resistant Tuberculosis in Paraná, Brazil (2012-2023).Pathogens (Basel, Switzerland) · 2025Article
- Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017-2023).BMC public health · 2025Article
- Association of urbanization-related factors with tuberculosis incidence among 1992 counties in China from 2005 to 2019: a nationwide observational study.Infectious diseases of poverty · 2025Observational
- Prevalence and related factors of TB/HIV co-infection among hospitalized children with tuberculosis in Southwest China.Frontiers in cellular and infection microbiology · 2025Article
- Trends and impact of government prevention policies on pulmonary tuberculosis notification and mortality in Ningbo, China (2004-2021).Frontiers in tuberculosis · 2025Article
- Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting.BMC infectious diseases · 2024Article
- Analysis of Tuberculosis Epidemiological Distribution Characteristics in Fujian Province, China, 2005-2021: Spatial-Temporal Analysis Study.JMIR public health and surveillance · 2024Article
- Long- and short-run asymmetric impacts of climate variation on tuberculosis based on a time series study.Scientific reports · 2024Article
- Article
- Spatiotemporal analysis and seasonality of tuberculosis in Pudong New Area of Shanghai, China, 2014-2023.BMC infectious diseases · 2024Article
- Toward tuberculosis elimination by understanding epidemiologic characteristics and risk factors in Hainan Province, China.Infectious diseases of poverty · 2024Article
- Tuberculosis incidence in Brazil: time series analysis between 2001 and 2021 and projection until 2030.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024Article
- Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China.Preventive medicine reports · 2023Article
- Self-efficacy and self-management mediate the association of health literacy and quality of life among patients with TB in Tibet, China: a cross-sectional study.International health · 2023Article
- Temporal trends in mortality of tuberculosis attributable to high fasting plasma glucose in China from 1990 to 2019: a joinpoint regression and age-period-cohort analysis.Frontiers in public health · 2023Article
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10 authors.
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Abstract
backgroundChina has always been one of the countries with the most serious Tuberculosis epidemic in the world. Our study was to observe the Spatial-temporal characteristics and the epidemiology of Tuberculosis in China from 2004 to 2017 with Joinpoint regression analysis, Seasonal Autoregressive integrated moving average (SARIMA) model, geographic cluster, and multivariate time series model.
methodsThe data of TB from January 2004 to December 2017 were obtained from the notifiable infectious disease reporting system supplied by the Chinese Center for Disease Control and Prevention. The incidence trend of TB was observed by the Joinpoint regression analysis. The Seasonal autoregressive integrated moving average (SARIMA) model was used to predict the monthly incidence. Geographic clusters was employed to analyze the spatial autocorrelation. The relative importance component of TB was detected by the multivariate time series model.
resultsWe included 13,991,850 TB cases from January 2004 to December 2017, with a yearly average morbidity of 999,417 cases. The final selected model was the 0 Joinpoint model (P = 0.0001) with an annual average percent change (AAPC) of - 3.3 (95% CI: - 4.3 to - 2.2, P < 0.001). A seasonality was observed across the 14 years, and the seasonal peaks were in January and March every year. The best SARIMA model was (0, 1, 1) X (0, 1, 1)
conclusionIn a word, China still has a high TB incidence. However, the incidence rate of TB was significantly decreasing from 2004 to 2017 in China. Seasonal peaks were in January and March every year. Obvious geographical clusters were observed in Tibet and Xinjiang Province. The relative importance component of TB driving transmission was distinguished from the multivariate time series model. For every provinces over the past 14 years, the autoregressive component played a leading role in the incidence of TB which need us to enhance the early protective implementation.
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