Spatial-temporal analysis of pulmonary tuberculosis in Hubei Province, China, 2011-2021. 2023

Yu Zhang, and Jianjun Ye, and Shuangyi Hou, and Xingxing Lu, and Chengfeng Yang, and Qi Pi, and Mengxian Zhang, and Xun Liu, and Qin Da, and Liping Zhou
Department of Tuberculosis Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.

Pulmonary 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. The 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. A 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. This 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.

UI MeSH Term Description Entries
D002681 China A country spanning from central Asia to the Pacific Ocean. Inner Mongolia,Manchuria,People's Republic of China,Sinkiang,Mainland China
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D014376 Tuberculosis Any of the infectious diseases of man and other animals caused by species of MYCOBACTERIUM TUBERCULOSIS. Koch's Disease,Kochs Disease,Mycobacterium tuberculosis Infection,Infection, Mycobacterium tuberculosis,Infections, Mycobacterium tuberculosis,Koch Disease,Mycobacterium tuberculosis Infections,Tuberculoses
D014397 Tuberculosis, Pulmonary MYCOBACTERIUM infections of the lung. Pulmonary Consumption,Pulmonary Phthisis,Pulmonary Tuberculoses,Pulmonary Tuberculosis,Tuberculoses, Pulmonary,Consumption, Pulmonary,Consumptions, Pulmonary,Phthises, Pulmonary,Phthisis, Pulmonary,Pulmonary Consumptions,Pulmonary Phthises
D015994 Incidence The number of new cases of a given disease during a given period in a specified population. It also is used for the rate at which new events occur in a defined population. It is differentiated from PREVALENCE, which refers to all cases in the population at a given time. Attack Rate,Cumulative Incidence,Incidence Proportion,Incidence Rate,Person-time Rate,Secondary Attack Rate,Attack Rate, Secondary,Attack Rates,Cumulative Incidences,Incidence Proportions,Incidence Rates,Incidence, Cumulative,Incidences,Person time Rate,Person-time Rates,Proportion, Incidence,Rate, Attack,Rate, Incidence,Rate, Person-time,Rate, Secondary Attack,Secondary Attack Rates
D016000 Cluster Analysis A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both. Clustering,Analyses, Cluster,Analysis, Cluster,Cluster Analyses,Clusterings
D062206 Spatial Analysis Investigative techniques which measure the topological, geometric, and or geographic properties of the entities studied. Kernel Density Estimation,Kriging,Spacial Analysis,Spatial Autocorrelation,Spatial Dependency,Spatial Interpolation,Analyses, Spacial,Analyses, Spatial,Analysis, Spacial,Analysis, Spatial,Autocorrelation, Spatial,Autocorrelations, Spatial,Density Estimation, Kernel,Density Estimations, Kernel,Dependencies, Spatial,Dependency, Spatial,Estimation, Kernel Density,Estimations, Kernel Density,Interpolation, Spatial,Interpolations, Spatial,Kernel Density Estimations,Krigings,Spacial Analyses,Spatial Analyses,Spatial Autocorrelations,Spatial Dependencies,Spatial Interpolations
D062211 Spatio-Temporal Analysis Techniques which study entities using their topological, geometric, or geographic properties and include the dimension of time in the analysis. Space-Time Geography,Spatial Temporal Analysis,Spatiotemporal Analysis,Analyses, Spatial Temporal,Analyses, Spatio-Temporal,Analyses, Spatiotemporal,Analysis, Spatial Temporal,Analysis, Spatio-Temporal,Analysis, Spatiotemporal,Geographies, Space-Time,Geography, Space-Time,Space Time Geography,Space-Time Geographies,Spatial Temporal Analyses,Spatio Temporal Analysis,Spatio-Temporal Analyses,Spatiotemporal Analyses,Temporal Analyses, Spatial,Temporal Analysis, Spatial

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