ArticleScientific reports2021
Influential factors and spatial-temporal distribution of tuberculosis in mainland China.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 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
- Challenges and countermeasures of the "Xinjiang Model" in tuberculosis prevention and control: a qualitative study based on health specialists' perspectives.BMC public health · 2026Article
- Healthcare system preparedness as a mediating factor in climate-driven tuberculosis outcomes: an ecological study.BMC health services research · 2026Article
- Spatial heterogeneity and drivers of pulmonary tuberculosis in Guangzhou: a street-level analysis of residents and migrant subgroups from 2015 to 2023.BMC public health · 2026Article
- Spatial clustering and genetic diversity of Mycobacterium tuberculosis and associated diagnostic delays in Nairobi County, Kenya.BMC infectious diseases · 2026Article
- Spatial neighborhood patterns of pulmonary tuberculosis in a large urban area: the case of Santiago, Chile.Scientific reports · 2026Article
- Toward optimal disease surveillance with graph-based active learning.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Analysis of Tuberculosis Epidemiological Distribution Characteristics in Fujian Province, China, 2005-2021: Spatial-Temporal Analysis Study.JMIR public health and surveillance · 2024Article
- Epidemiological characteristics of tuberculosis incidence and its macro-influence factors in Chinese mainland during 2014-2021.Infectious diseases of poverty · 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
- Spatial-temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021.Epidemiology and infection · 2024Article
- Spatiotemporal pattern of leprosy in southwest China from 2010 to 2020: an ecological study.BMC public health · 2024Observational
- Ecological-level factors associated with tuberculosis incidence and mortality: A systematic review and meta-analysis.PLOS global public health · 2024Article
- Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China.Preventive medicine reports · 2023Article
- Machine Learning Prediction Model of Tuberculosis Incidence Based on Meteorological Factors and Air Pollutants.International journal of environmental research and public health · 2023Article
- Identifying spatiotemporal patterns of COVID-19 transmissions and the drivers of the patterns in Toronto: a Bayesian hierarchical spatiotemporal modelling.Scientific reports · 2022Article
- Modeling and Predicting Pulmonary Tuberculosis Incidence and Its Association with Air Pollution and Meteorological Factors Using an ARIMAX Model: An Ecological Study in Ningbo of China.International journal of environmental research and public health · 2022Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is an infectious disease that threatens human safety. Mainland China is an area with a high incidence of tuberculosis, and the task of tuberculosis prevention and treatment is arduous. This paper aims to study the impact of seven influencing factors and spatial-temporal distribution of the relative risk (RR) of tuberculosis in mainland China using the spatial-temporal distribution model and INLA algorithm. The relative risks and confidence intervals (CI) corresponding to average relative humidity, monthly average precipitation, monthly average sunshine duration and monthly per capita GDP were 1.018 (95% CI 1.001-1.034), 1.014 (95% CI 1.006-1.023), 1.026 (95% CI 1.014-1.039) and 1.025 (95% CI 1.011-1.040). The relative risk for average temperature and pressure were 0.956 (95% CI 0.942-0.969) and 0.767 (95% CI 0.664-0.875). Spatially, the two provinces with the highest relative risks are Xinjiang and Guizhou, and the remaining provinces with higher relative risks were mostly concentrated in the Northwest and South China regions. Temporally, the relative risk decreased year by year from 2013 to 2015. It was higher from February to May each year and was most significant in March. It decreased from June to December. Average relative humidity, monthly average precipitation, monthly average sunshine duration and monthly per capita GDP had positive effects on the relative risk of tuberculosis. The average temperature and pressure had negative effects. The average wind speed had no significant effect. Mainland China should adapt measures to local conditions and develop tuberculosis prevention and control strategies based on the characteristics of different regions and time.
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