School of Earth Sciences, Zhejiang University, Hangzhou 310027, Zhejiang, China.
ZheJiang Economic & Trade Polytechnic, Xiasha, Hangzhou 310018, Zhejiang, China.
Public Health. 2018 Sep;162:82-90. doi: 10.1016/j.puhe.2018.05.015. Epub 2018 Jul 6.
Gonorrhea remains a major public health concern worldwide. This study aims to explore the spatiotemporal distribution and sociodemographic determinants of gonorrhea rates during 2004-2014 in mainland China.
Space-time scan statistics and spatial panel regression model.
The gonorrhea infection data and sociodemographic data during 2004-2014 at the provincial level in mainland China were extracted from the China Public Health Science Data Center and China Statistical Yearbooks, respectively. The space-time scan statistics were used to identify the high-risk clusters of gonorrhea, and the spatial panel regression model was adopted to examine the sociodemographic determinants.
One most likely and five secondary high-risk clusters of gonorrhea rates were identified, which were mainly located in southern and eastern China. The regions with higher GDP per capita, larger floating population, less access to healthcare, higher male-female ratio, and higher divorce rate were more likely to become high-risk areas of gonorrhea.
Gonorrhea rates were distributed unevenly through space and time and affected by various sociodemographic variables. The space-time scan statistics and spatial panel regression are viable tools for identifying clusters and examining determinants of gonorrhea rates. The findings provide valuable implications for developing targeted prevention and control programs in public health practice.
淋病仍是全球主要的公共卫生问题。本研究旨在探讨 2004-2014 年中国大陆淋病发病率的时空分布及其社会人口学决定因素。
时空扫描统计和空间面板回归模型。
从中国公共卫生科学数据中心和中国统计年鉴分别提取 2004-2014 年中国大陆省级淋病感染数据和社会人口学数据。采用时空扫描统计方法识别淋病高发集群，采用空间面板回归模型检验社会人口学决定因素。
确定了一个最可能的和五个次要的淋病发病率高风险集群，主要分布在中国南方和东部。人均 GDP 较高、流动人口较多、医疗保健可及性较低、男女比例较高、离婚率较高的地区更有可能成为淋病高发地区。
淋病发病率在时空上分布不均，受多种社会人口学变量影响。时空扫描统计和空间面板回归是识别淋病发病率集群和检验其决定因素的有效工具。研究结果为公共卫生实践中制定有针对性的预防和控制计划提供了有价值的启示。
