College of Nursing, University of Florida, Gainesville, FL 32610, USA.
Department of Sociology and Criminology & Law, University of Florida, Gainesville, FL 32611, USA.
Int J Environ Res Public Health. 2018 Jun 30;15(7):1375. doi: 10.3390/ijerph15071375.
Social and spatial characteristics of a population often interact to influence health outcomes, suggesting a need to jointly analyze both to offer useful insights in community health. However, researchers have used either social or spatial analyses to examine community-based health issues and inform intervention programs. We propose a combined socio-spatial analytic approach to develop a and a , and apply them to an ongoing study of mental and physical well-being of rural Latino immigrants in North Florida, USA. We demonstrate how this approach can be used to calculate measures, such as social network centrality, support contact dyads, and spatial kernel density based on a health survey data. Findings reveal that the integrated approach accurately reflected interactions between social and spatial elements, and identified community members () and locations () that should be prioritized for community-based health interventions.
人口的社会和空间特征常常相互作用，影响健康结果，这表明需要联合分析这两个因素，以便为社区健康提供有用的见解。然而，研究人员要么使用社会分析，要么使用空间分析来研究基于社区的健康问题并为干预计划提供信息。我们提出了一种综合的社会空间分析方法，以制定社会网络 和空间核密度图，并将其应用于美国北佛罗里达州农村拉丁裔移民的身心健康的正在进行的研究中。我们展示了如何使用这种方法根据健康调查数据计算社会网络中心度、支持联系对和空间核密度等指标。研究结果表明，这种综合方法准确地反映了社会和空间因素之间的相互作用，并确定了应优先考虑进行基于社区的健康干预的社区成员和位置。
