ArticleEpidemiology and infection2018
Analysis of spatial-temporal distribution and influencing factors of pulmonary tuberculosis in China, during 2008-2015.
Article in Epidemiology and infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Geo-spatial high-risk clusters of Tuberculosis in the global general population: a systematic review.BMC public health · 2023Pooled it
- Spatial distribution, clustering patterns, and economic burden of comorbidities among hospitalised pulmonary tuberculosis patients in Guangdong province: a spatial epidemiological study based on inpatient big data.Journal of global health · 2026Article
- China's TB Portfolio for Advancing the 2030 End TB Goals.China CDC weekly · 2026Article
- Spatial clustering and genetic diversity of Mycobacterium tuberculosis and associated diagnostic delays in Nairobi County, Kenya.BMC infectious diseases · 2026Article
- Spatiotemporal epidemiology, geographic hotspots, and risk factor associations of drug-resistant tuberculosis incidence in Indonesia: a Bayesian hierarchical modelling approach.Infectious diseases of poverty · 2026Article
- Spatiotemporal patterns of tuberculosis in urban slums and urban-rural transition zones: evidence from Tétouan, Morocco, 2019-2023.PLOS global public health · 2026Article
- Article
- Spatiotemporal analysis of tuberculosis in the Hunan Province, China, 2014-2022.Frontiers in public health · 2024Article
- A Spatio-temporal Bayesian model to estimate risk and influencing factors related to tuberculosis in Chongqing, China, 2014-2020.Archives of public health = Archives belges de sante publique · 2023Article
- Article
- COVID-19 outbreak and Urban dynamics: regional variations in India.GeoJournal · 2022Article
- Tuberculosis forecasting and temporal trends by sex and age in a high endemic city in northeastern Brazil: where were we before the Covid-19 pandemic?BMC infectious diseases · 2021Article
- Spatial distribution and risk factors of adverse treatment outcomes of tuberculosis in Guizhou, China, 2013-2018.Scientific reports · 2021Article
- Factors influencing completion of treatment among pulmonary tuberculosis patients.Patient preference and adherence · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At present, the number of people with tuberculosis in China is second only to India and ranks second in the world. Under such a severe case of tuberculosis in China, prevention and control of pulmonary tuberculosis are urgently needed. This study aimed to study the temporal and geographical relevance of the pathogenesis of pulmonary tuberculosis and the factors affecting the incidence of tuberculosis. Spatial autocorrelation model was used to study the spatial distribution characteristics of pulmonary tuberculosis from a quantitative level. The research results showed that the overall incidence of pulmonary tuberculosis (IPT) in China was low in the east, high in the west and had certain seasonal characteristics. We use Spatial Lag Model to explore influencing factors of pulmonary tuberculosis. It indicates that the IPT is high in areas with underdeveloped economics, poor social services and low average smoking ages. Additionally, the IPT is high in areas with high AIDS prevalence. Also, compared with Classical Regression Model and Spatial Error Model, our model has smaller values of Akaike information criterion and Schwarz criterion. Besides, our model has bigger values of coefficient of determination (R2) and log-likelihood (log L) than the other two models. Apart from that, it is more significant than Spatial Error Models in the spatial dependence test for the IPT.
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