ArticleInternational journal of environmental research and public health2016
Spatial-Temporal Epidemiology of Tuberculosis in Mainland China: An Analysis Based on Bayesian Theory.
Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Understanding the mechanisms of climate change impact on tuberculosis: a complex systems approach.BMC public health · 2025Pooled it
- Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.BMC medicine · 2018Pooled it
- Spatial autocorrelation with environmental factors related to tuberculosis prevalence in Nepal, 2020-2023.Infectious diseases of poverty · 2025Article
- Impact of short-term exposure to high ambient temperature on pulmonary tuberculosis: a 5-year time-series analysis in Beijing.Frontiers in public health · 2025Article
- The spatial-temporal distribution of hepatitis B virus infection in China,2006-2018.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
- Correlation between night sweats and season fluctuation in China.Frontiers in public health · 2024Article
- Ecological-level factors associated with tuberculosis incidence and mortality: A systematic review and meta-analysis.PLOS global public health · 2024Article
- Study on association factors of intestinal infectious diseases based-Bayesian spatio-temporal model.BMC infectious diseases · 2023Article
- Spatiotemporal Distribution of Tuberculosis in the Oromia Region of Ethiopia: A Hotspot Analysis.Tropical medicine and infectious disease · 2023Article
- Geographical evolutionary pathway of global tuberculosis incidence trends.BMC public health · 2023Article
- Time trend prediction and spatial-temporal analysis of multidrug-resistant tuberculosis in Guizhou Province, China, during 2014-2020.BMC infectious diseases · 2022Article
- Effects and Interaction of Meteorological Factors on Pulmonary Tuberculosis in Urumqi, China, 2013-2019.Frontiers in public health · 2022Article
- Spatio-temporal epidemiology of the tuberculosis incidence rate in Iran 2008 to 2018.BMC public health · 2021Article
- Influential factors and spatial-temporal distribution of tuberculosis in mainland China.Scientific reports · 2021Article
- Article
- Temperature and humidity associated with increases in tuberculosis notifications: a time-series study in Hong Kong.Epidemiology and infection · 2020Article
- Comparing the performance of time series models with or without meteorological factors in predicting incident pulmonary tuberculosis in eastern China.Infectious diseases of poverty · 2020Article
- Spatio-temporal analysis of socio-economic characteristics for pulmonary tuberculosis in Sichuan province of China, 2006-2015.BMC infectious diseases · 2020Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the spatial-temporal interaction effect within a Bayesian framework and to probe the ecological influential factors for tuberculosis.
methodsSix different statistical models containing parameters of time, space, spatial-temporal interaction and their combination were constructed based on a Bayesian framework. The optimum model was selected according to the deviance information criterion (DIC) value. Coefficients of climate variables were then estimated using the best fitting model.
resultsThe model containing spatial-temporal interaction parameter was the best fitting one, with the smallest DIC value (-4,508,660). Ecological analysis results showed the relative risks (RRs) of average temperature, rainfall, wind speed, humidity, and air pressure were 1.00324 (95% CI, 1.00150-1.00550), 1.01010 (95% CI, 1.01007-1.01013), 0.83518 (95% CI, 0.93732-0.96138), 0.97496 (95% CI, 0.97181-1.01386), and 1.01007 (95% CI, 1.01003-1.01011), respectively.
conclusionsThe spatial-temporal interaction was statistically meaningful and the prevalence of tuberculosis was influenced by the time and space interaction effect. Average temperature, rainfall, wind speed, and air pressure influenced tuberculosis. Average humidity had no influence on tuberculosis.
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