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Who and Where: A Socio-Spatial Integrated Approach for Community-Based Health Research

Author

Listed:
  • Jeanne-Marie R. Stacciarini

    (College of Nursing, University of Florida, Gainesville, FL 32610, USA)

  • Raffaele Vacca

    (Department of Sociology and Criminology & Law, University of Florida, Gainesville, FL 32611, USA)

  • Liang Mao

    (Department of Geography, University of Florida, Gainesville, FL 32611, USA)

Abstract

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 social network with spatial weights and a spatial statistic with social weights , 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 ( who ) and locations ( where ) that should be prioritized for community-based health interventions.

Suggested Citation

  • Jeanne-Marie R. Stacciarini & Raffaele Vacca & Liang Mao, 2018. "Who and Where: A Socio-Spatial Integrated Approach for Community-Based Health Research," IJERPH, MDPI, vol. 15(7), pages 1-17, June.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1375-:d:155413
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    References listed on IDEAS

    as
    1. Schönfelder, Stefan & Axhausen, Kay W., 2003. "Activity spaces: measures of social exclusion?," Transport Policy, Elsevier, vol. 10(4), pages 273-286, October.
    2. Talia McCray & Nicole Brais, 2007. "Exploring the Role of Transportation in Fostering Social Exclusion: The Use of GIS to Support Qualitative Data," Networks and Spatial Economics, Springer, vol. 7(4), pages 397-412, December.
    3. Mao, Liang & Stacciarini, Jeanne-Marie R. & Smith, Rebekah & Wiens, Brenda, 2015. "An individual-based rurality measure and its health application: A case study of Latino immigrants in North Florida, USA," Social Science & Medicine, Elsevier, vol. 147(C), pages 300-308.
    4. Peter Diggle, 1985. "A Kernel Method for Smoothing Point Process Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 34(2), pages 138-147, June.
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