ArticlePloS one2019
Spatiotemporal patterns and ecological factors of tuberculosis notification: A spatial panel data analysis in Guangxi, China.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 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
- Spatial heterogeneity of health care resources: a study of the socioeconomic, demographic, and natural geographic conditions of ethnic minority regions in Southwestern China.BMC public health · 2026Article
- Epidemiological Distribution Characteristics of Tuberculosis Among Older Adults in Chongqing (2020-2024): Spatial-Temporal Analysis.JMIR public health and surveillance · 2026Article
- Prediction of pulmonary tuberculosis case trends among older adults in Chongqing based on time series models.Frontiers in public health · 2026Article
- Comprehensive Spatial Investigation of Tuberculosis Dynamics and Affecting Factors in Şanlıurfa, Türkiye (2016-2023).GeoHealth · 2025Article
- Clinical characteristics and genomic epidemiological survey of tuberculosis in Wuzhou, China, 2022.Microbiology spectrum · 2025Article
- Medical Insurance Reimbursement and the Effects of Tuberculosis Management in Guangxi Province, China: A Retrospective Cross-Sectional Study.Risk management and healthcare policy · 2025Article
- Geographic mapping and spatiotemporal patterns of tuberculosis in Libya within ten years' period (2015 to 2024).Frontiers in epidemiology · 2025Article
- Analysis of Tuberculosis Epidemiological Distribution Characteristics in Fujian Province, China, 2005-2021: Spatial-Temporal Analysis Study.JMIR public health and surveillance · 2024Article
- Spatio-temporal pattern and associate factors study on intestinal infectious diseases based on panel model in Zhejiang Province.BMC public health · 2024Article
- Spatiotemporal analysis and seasonality of tuberculosis in Pudong New Area of Shanghai, China, 2014-2023.BMC infectious diseases · 2024Article
- The effects of meteorological factors and air pollutants on the incidence of tuberculosis in people living with HIV/AIDS in subtropical Guangxi, China.BMC public health · 2024Article
- The impact of meteorological factors on tuberculosis incidence in Spain: a spatiotemporal analysis.Epidemiology and infection · 2024Article
- Ecological-level factors associated with tuberculosis incidence and mortality: A systematic review and meta-analysis.PLOS global public health · 2024Article
- Spatiotemporal analysis of tuberculosis in the Hunan Province, China, 2014-2022.Frontiers in public health · 2024Article
- Spatial Distribution of Drug-ResistantPathogens (Basel, Switzerland) · 2023Article
- How to establishing an indicators framework for evaluating the performances in primary TB control institutions under the new TB control model? Based on a Delphi study conducted in Guangxi, China.BMC public health · 2022Article
- Time trend prediction and spatial-temporal analysis of multidrug-resistant tuberculosis in Guizhou Province, China, during 2014-2020.BMC infectious diseases · 2022Article
- Characteristics and Prognosis of Talaromyces marneffei Infection in HIV-positive Children in Southern China.Mycopathologia · 2022Review
- Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China.Infectious diseases of poverty · 2022Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundGuangxi is one of the provinces having the highest notification rate of tuberculosis in China. However, spatial and temporal patterns and the association between environmental diversity and tuberculosis notification are still unclear.
objectiveTo detect the spatiotemporal pattern of tuberculosis notification rates from 2010 to 2016 and its potential association with ecological environmental factors in Guangxi Zhuang autonomous region, China.
methodsWe performed a spatiotemporal analysis with prediction using time series analysis, Moran's I global and local spatial autocorrelation statistics, and space-time scan statistics to detect temporal and spatial clusters of tuberculosis notifications in Guangxi between 2010 and 2016. Spatial panel models were employed to identify potential associating factors.
resultsThe number of reported cases peaked in spring and summer and decreased in autumn and winter. The predicted number of reported cases was 49,946 in 2017. Moran's I global statistics were greater than 0 (0.363-0.536) during the study period. The most significant hot spots were mainly located in the central area. The eastern area exhibited a low-low relation. By the space-time scanning, the clusters identified were similar to those of the local autocorrelation statistics, and were clustered toward the early part of 2016. Duration of sunshine, per capita gross domestic product, the treatment success rate of tuberculosis and participation rate of the new cooperative medical care insurance scheme in rural areas had a significant negative association with tuberculosis notification rates.
conclusionThe notification rate of tuberculosis in Guangxi remains high, with the highest notification cluster located in the central region. The notification rate is associated with economic level, treatment success rate and participation in the new cooperative medical care insurance scheme.
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