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Table 4 Correlation coefficients between tuberculosis incidence and variables and the q-values derived from geographical detector analysis

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

Variable type

Variable name

r

q values

Socioeconomic variables

Incid-2016

0.76***

0.57***

Hosp

0.67***

0.45***

Hosp11

0.65***

0.49***

Hosp12

0.54***

0.38***

Bus

0.69***

0.44***

Road-net

0.47***

0.26**

Pop

0.31***

0.23***

Subway

0.42***

0.19**

Commercial

0.37***

0.16*

Residential

0.37***

0.14**

GDP

0.16

0.11*

UV

0.17*

0.08

Pub-serv

− 0.01

0.02

Environmental variables

Temp

0.01

0.27***

Prec

0.06

0.15***

Humi

− 0.07

0.10*

PM2.5

0.21**

0.08

NDVI

− 0.11

0.06

  1. r is the Pearson correlation coefficient. ***, **, and * indicates this value is significant at the level of 0.01, 0.05, and 0.10. Incid-2016 TB incidence in 2016, Pop population density, GDP gross national product per capita, Hosp counts of officially appointed medical institutions, Hosp11 outpatient hospitals of the officially appointed medical institutions; Hosp12 inpatient and outpatient hospitals of the officially appointed medical institutions, Road_net road network density, Subway counts of subway stations, Bus counts of bus stops, Residential percentage of residential land area, Commercial percentage of commercial service land, Pub-serv percentage of land for public services, UV percentage of urban village area, NDVI annual monthly average normalized differential vegetation index, PM2.5 annual monthly average PM2.5 concentration, Temp average temperature from March to June, Prec average precipitation from March to June, Humi average humidity from March to June