Spatiotemporal analysis and seasonality of tuberculosis in Pudong New Area of Shanghai, China, 2014–2023

• Published in: BMC infectious diseases Vol. 24; no. 1; pp. 761 - 11
• Main Authors: Pan, Shuishui, Chen, Lili, Xin, Xin, Li, Shihong, Zhang, Yixing, Chen, Yichen, Xiao, Shaotan
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 31.07.2024; BioMed Central; BMC
• Subjects: Analysis; Autocorrelation; China; China - epidemiology; Cluster Analysis; Clustering; Disease control; Disease hot spots; Disease prevention; Epidemiology; Geographic Information Systems; Geographical distribution; Geography; Health aspects; Humans; Incidence; Infectious diseases; Mortality; Population; Public health; Pudong New Area; Remote sensing; Risk analysis; Seasonal distribution; Seasonal variations; Seasonality; Seasons; Space-time scan analysis; Spatial analysis; Spatial autocorrelation analysis; Spatial distribution; Spatio-Temporal Analysis; Temporal distribution; Towns; Trends; Tuberculosis; Tuberculosis - epidemiology; China; Shanghai China; Space-time scan analysis; Pudong New Area; Tuberculosis; Spatial autocorrelation analysis; Seasonality

Spatiotemporal analysis is a vital method that plays an indispensable role in monitoring epidemiological changes in diseases and identifying high-risk clusters. However, there is still a blank space in the spatial and temporal distribution of tuberculosis (TB) incidence rate in Pudong New Area, Shan...