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Stress Studies: A Review

In: Analytics Modeling in Reliability and Machine Learning and Its Applications

Author

Listed:
  • Rachel Wesley

    (Rutgers University)

  • Hoang Pham

    (Rutgers University)

Abstract

Stress is an issue that most people face on a daily basis. Conversations and research around stress have increased in the past few years, especially with the onset of the Covid-19 pandemic. This review examines and categorizes research that has been conducted regarding stress into three main categories: (1) Covid-19; (2) Mathematical Models and Machine Learning; and (3) Surveys and Review Papers. The purpose of this review was to investigate stress factors that have been studied or modeled since this has become a prevalent issue in society. Summary tables that are split into five main stress categories are included: (1) Covid-19 Factors; (2) Social Factors; (3) Academic Factors; (4) Environmental Factors; and (5) Personal Factors. Some takeaways from this review are that there are many factors that contribute to stress of an individual and these factors can fall into multiple categories.

Suggested Citation

  • Rachel Wesley & Hoang Pham, 2025. "Stress Studies: A Review," Springer Series in Reliability Engineering, in: Hoang Pham (ed.), Analytics Modeling in Reliability and Machine Learning and Its Applications, pages 267-282, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-72636-1_13
    DOI: 10.1007/978-3-031-72636-1_13
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