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Spatiotemporal distribution and determinants of gonorrhea infections in mainland China: a panel data analysis

机译：中国大陆淋病感染的时空分布与决定因素：面板数据分析

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ObjectivesGonorrhea 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. Study designSpace-time scan statistics and spatial panel regression model. MethodsThe 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. ResultsOne 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. ConclusionsGonorrhea 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.
机译：orboutsgonorrhea仍然是全世界主要的公共卫生问题。本研究旨在探讨2004 - 2014年中国大陆2004 - 2014年淋病率的时空分布和社会血统规定。研究设计集空扫描统计和空间面板回归模型。方法分别从中国公共卫生科学数据中心和中国统计年鉴中提取了2004 - 2014年2004 - 2014年2004 - 2014年潮流的感染数据和社会阶段数据。空间时间扫描统计数据用于识别淋病的高风险簇，采用空间面板回归模型来检查社会血管监测决定簇。结果，鉴定了最有可能和五个次要高危淋病株的淋病群，主要位于中国南部和东部。具有较高GDP人均GDP的地区，较大的浮动人口，较少获得医疗保健，更高的男性女性比率和更高的离婚率更可能成为淋病的高风险区域。结论GONORHEA率通过空间和时间分发，并受各种社会渗透变量的影响。空时扫描统计和空间面板回归是可行的工具，用于识别群集和淋病率的癌症的决定簇。该研究结果为在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影响。

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