Sociodemographic factors impacting the spatial distribution of private dental clinics in major cities of Peoples Republic of China.

ABSTRACT:

Objectives

Investigate the geographical distribution of private dental practices in major Chinese cities and analyze the variables influencing this distribution.

Methods

This study used Python to extract various types of Point of Interest (POI) data spanning from 2016 to 2022 from the AutoNavi map. A 1km*1km grid was constructed to establish the study sample. Additional spatial pattern data, including nighttime lighting, population, and air quality data, were integrated into this grid. Global Moran's I index was used to analyze the spatial autocorrelation. The spatial lag model was used to explore the influencing factors of private dental practice distribution.

Results

This study reveals a specific clustering pattern for private dental practices in major Chinese citie

SUBMITTER: Liu P 

PROVIDER: S-EPMC11563162 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature