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

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 selec

SUBMITTER: Ren H 

PROVIDER: S-EPMC9012046 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature