ArticleEpidemiology and infection2017
Spatiotemporal analysis of tuberculosis incidence and its associated factors in mainland China.
Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.
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Who cites it
43 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Understanding the mechanisms of climate change impact on tuberculosis: a complex systems approach.BMC public health · 2025Pooled it
- Geo-spatial high-risk clusters of Tuberculosis in the global general population: a systematic review.BMC public health · 2023Pooled it
- Data-driven model analysis of the impact of environmental and socioeconomic factors on tuberculosis incidence.Infectious Disease Modelling · 2026Article
- Multiscale geographically weighted modeling of tuberculosis incidence in China: integrating geographic perspectives into epidemiological analysis.International journal of health geographics · 2025Article
- Climatic, environmental, and social factors in Visceral Leishmaniasis: A spatio-temporal perspective in Brazilian biomes.PLoS neglected tropical diseases · 2025Article
- Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017-2023).BMC public health · 2025Article
- Comprehensive Spatial Investigation of Tuberculosis Dynamics and Affecting Factors in Şanlıurfa, Türkiye (2016-2023).GeoHealth · 2025Article
- Racial/ethnic disparities in tuberculosis incidence linked to PMBMC infectious diseases · 2025Article
- Observational
- Effects of meteorological factors on tuberculosis and potential modifiers in Zhejiang Province, China.Scientific reports · 2024Article
- Long- and short-run asymmetric impacts of climate variation on tuberculosis based on a time series study.Scientific reports · 2024Article
- Modeling tuberculosis transmission flow in China, 2010-2012.BMC infectious diseases · 2024Article
- Spatiotemporal analysis and seasonality of tuberculosis in Pudong New Area of Shanghai, China, 2014-2023.BMC infectious diseases · 2024Article
- Epidemiological characteristics of tuberculosis incidence and its macro-influence factors in Chinese mainland during 2014-2021.Infectious diseases of poverty · 2024Article
- Spatiotemporal analysis of foot and mouth disease outbreaks in cattle and small ruminants in Türkiye between 2010 and 2019.Veterinary research communications · 2024Article
- Spatio-Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection.GeoHealth · 2024Article
- Ecological-level factors associated with tuberculosis incidence and mortality: A systematic review and meta-analysis.PLOS global public health · 2024Article
- Spatial pattern of isoniazid-resistant tuberculosis and its associated factors among a population with migrants in China: a retrospective population-based study.Frontiers in public health · 2024Article
- Exploring environmental and climate features associated with yellow fever across space and time in the Brazilian Atlantic Forest biome.PloS one · 2024Article
- Spatiotemporal Distribution of Tuberculosis in the Oromia Region of Ethiopia: A Hotspot Analysis.Tropical medicine and infectious disease · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spatiotemporal analysis is an important tool to monitor changes of tuberculosis (TB) epidemiology, identify high-risk regions and guide resource allocation. However, there are limited data on the contributing factors of TB incidence. This study aimed to investigate the spatiotemporal pattern of TB incidence and its associated factors in mainland China during 2005-2013. Global Moran's I test, Getis-Ord Gi index and heat maps were used to examine the spatial clustering and seasonal patterns. Generalized Linear Mixed Model was applied to identify factors associated with TB incidence. TB incidence presented high geographical variations with two main hot spots, while a generally consistent seasonal pattern was observed with a peak in late winter. Furthermore, we found province-level TB incidence increased with the proportion of the elderly but decreased with Gross Demographic Product per capita and the male:female ratio. Meteorological factors also influenced TB incidence. TB showed obvious spatial clustering in mainland China and both the demographic and socio-economic factors and meteorological measures were associated with TB incidence. These results provide the related information to identify the high-risk districts and the evidence for the government to develop corresponding control measures.
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