 Stress Studies: A ReviewRachel Wesley and
Hoang Pham ()
A chapter in Analytics Modeling in Reliability and Machine Learning and Its Applications, 2025, pp 267-282 from Springer Abstract: 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. Keywords: Stress; Covid-19; Mathematical modeling; Machine learning; Surveys (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-72636-1_13 Ordering information: This item can be ordered from DOI: 10.1007/978-3-031-72636-1_13 Access Statistics for this chapter More chapters in Springer Series in Reliability Engineering from Springer |
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