ArticlePloS one2023
Spatial-temporal analysis of pulmonary tuberculosis in Hubei Province, China, 2011-2021.
Article in PloS one, 2023. 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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17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Geo-spatial high-risk clusters of Tuberculosis in the global general population: a systematic review.BMC public health · 2023Pooled it
- Space-time clustering and temporal trend analysis of pulmonary tuberculosis in Brazil, 2010-2023.PloS one · 2026Article
- Prediction of pulmonary tuberculosis case trends among older adults in Chongqing based on time series models.Frontiers in public health · 2026Article
- Trends and projection of pulmonary tuberculosis incidence in Hubei Province, china: an age‒period‒cohort modeling study.BMC infectious diseases · 2025Article
- Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017-2023).BMC public health · 2025Article
- Analysis the status and spatio-temporal characteristics of the synergistic development of China's multi-level medical insurance system.Scientific reports · 2025Article
- Epidemiological characteristics and spatial clustering analysis of human brucellosis in Zibo City, Shandong Province, China, 2006-2024.Frontiers in public health · 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
- Assessment of knowledge, attitudes, and practices regarding TB prevention and treatment among college students in Wuhan, central China.Frontiers in tuberculosis · 2025Article
- Article
- Analysis of the epidemiological characteristics of pulmonary tuberculosis in Shijiazhuang, China 2010-2023.Frontiers in public health · 2025Article
- Geospatial analysis of tuberculosis incidence in relation to socio-economic and environmental indicators in Romania.Frontiers in public health · 2025Article
- Spatiotemporal analysis and seasonality of tuberculosis in Pudong New Area of Shanghai, China, 2014-2023.BMC infectious diseases · 2024Article
- Pulmonary Tuberculosis Notification Rate Within Shenzhen, China, 2010-2019: Spatial-Temporal Analysis.JMIR public health and surveillance · 2024Article
- Spatial-temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021.Epidemiology and infection · 2024Article
- Spatiotemporal analysis of tuberculosis in the Hunan Province, China, 2014-2022.Frontiers in public health · 2024Article
- More Than a Decade of GeneXpertDiagnostics (Basel, Switzerland) · 2023Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPulmonary tuberculosis (PTB) is an infectious disease of major public health problem, China is one of the PTB high burden counties in the word. Hubei is one of the provinces having the highest notification rate of tuberculosis in China. This study analyzed the temporal and spatial distribution characteristics of PTB in Hubei province for targeted intervention on TB epidemics.
methodsThe data on PTB cases were extracted from the National Tuberculosis Information Management System correspond to population in 103 counties of Hubei Province from 2011 to 2021. The effect of PTB control was measured by variation trend of bacteriologically confirmed PTB notification rate and total PTB notification rate. Time series, spatial autonomic correlation and spatial-temporal scanning methods were used to identify the temporal trends and spatial patterns at county level of Hubei.
resultsA total of 436,955 cases were included in this study. The total PTB notification rate decreased significantly from 81.66 per 100,000 population in 2011 to 52.25 per 100,000 population in 2021. The peak of PTB notification occurred in late spring and early summer annually. This disease was spatially clustering with Global Moran's I values ranged from 0.34 to 0.63 (P< 0.01). Local spatial autocorrelation analysis indicated that the hot spots are mainly distributed in the southwest and southeast of Hubei Province. Using the SaTScan 10.0.2 software, results from the staged spatial-temporal analysis identified sixteen clusters.
conclusionsThis study identified seasonal patterns and spatial-temporal clusters of PTB cases in Hubei province. High-risk areas in southwestern Hubei still exist, and need to focus on and take targeted control and prevention measures.
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