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The integration of geographic methods and ecological momentary assessment in public health research: A systematic review of methods and applications

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  • Zhang, Yue
  • Li, Dongying
  • Li, Xiaoyu
  • Zhou, Xiaolu
  • Newman, Galen

Abstract

With the widespread prevalence of mobile devices, ecological momentary assessment (EMA) can be combined with geospatial data acquired through geographic techniques like global positioning system (GPS) and geographic information system. This technique enables the consideration of individuals' health and behavior outcomes of momentary exposures in spatial contexts, mostly referred to as “geographic ecological momentary assessment” or “geographically explicit EMA” (GEMA). However, the definition, scope, methods, and applications of GEMA remain unclear and unconsolidated. To fill this research gap, we conducted a systematic review to synthesize the methodological insights, identify common research interests and applications, and furnish recommendations for future GEMA studies.

Suggested Citation

  • Zhang, Yue & Li, Dongying & Li, Xiaoyu & Zhou, Xiaolu & Newman, Galen, 2024. "The integration of geographic methods and ecological momentary assessment in public health research: A systematic review of methods and applications," Social Science & Medicine, Elsevier, vol. 354(C).
    • Handle: RePEc:eee:socmed:v:354:y:2024:i:c:s0277953624005288
    DOI: 10.1016/j.socscimed.2024.117075
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    References listed on IDEAS

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    1. Lianne P. Vries & Bart M. L. Baselmans & Meike Bartels, 2021. "Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies," Journal of Happiness Studies, Springer, vol. 22(5), pages 2361-2408, June.
    2. Lingling Su & Suhong Zhou & Mei-Po Kwan & Yanwei Chai & Xue Zhang, 2022. "The impact of immediate urban environments on people’s momentary happiness," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 140-160, January.
    3. Shi, Hui & Su, Rongxiang & Xiao, Jingyi & Goulias, Konstadinos G., 2022. "Spatiotemporal analysis of activity-travel fragmentation based on spatial clustering and sequence analysis," Journal of Transport Geography, Elsevier, vol. 102(C).
    4. Doherty, Sean T. & Lemieux, Christopher J. & Canally, Culum, 2014. "Tracking human activity and well-being in natural environments using wearable sensors and experience sampling," Social Science & Medicine, Elsevier, vol. 106(C), pages 83-92.
    5. McQuoid, Julia & Thrul, Johannes & Ling, Pamela, 2018. "A geographically explicit ecological momentary assessment (GEMA) mixed method for understanding substance use," Social Science & Medicine, Elsevier, vol. 202(C), pages 89-98.
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