Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China

Autor: Hongyan Ren, Weili Lu, Xueqiu Li, Hongcheng Shen
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Infectious Diseases of Poverty, Vol 11, Iss 1, Pp 1-12 (2022)
Druh dokumentu: article
ISSN: 2049-9957
DOI: 10.1186/s40249-022-00967-z
Popis: Abstract Background A remarkable drop in tuberculosis (TB) incidence has been achieved in China, although in 2019 it was still considered the second most communicable disease. However, TB’s spatial features and risk factors in urban areas remain poorly understood. This study aims to identify the spatial differentiations and potential influencing factors of TB in highly urbanized regions on a fine scale. Methods This study included 18 socioeconomic and environmental variables in the four central districts of Guangzhou, China. TB case data obtained from the Guangzhou Institute of Tuberculosis Control and Prevention. Before using Pearson correlation and a geographical detector (GD) to identify potential influencing factors, we conducted a global spatial autocorrelation analysis to select an appropriate spatial scales. Results Owing to its strong spatial autocorrelation (Moran’s I = 0.33, Z = 4.71), the 2 km × 2 km grid was selected as the spatial scale. At this level, TB incidence was closely associated with most socioeconomic variables (0.31
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje