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Meta-Analysis of EMF-Induced Pollution by COVID-19 in Virtual Teaching and Learning With an Artificial Intelligence Perspective

Author

Listed:
  • Sanjita Das

    (Noida Institute of Engineering and Technology (Pharmacy Institute), Greater Noida, India)

  • Shilpa Srivastava

    (Christ University, Delhi, India)

  • Aprna Tripathi

    (Vellore Institute of Technology, Bhopal, India)

  • Saumya Das

    (Noida Institute of Engineering and Technology (Pharmacy Institute), Greater Noida, India)

Abstract

Concerns about the health effects of frequent exposure to electromagnetic fields (EMF) emitted from mobile towers and handsets have been raised because of the gradual increase in usage of cell phones and frequent setting up of mobile towers. Present study is targeted to detrimental effects of EMF radiation on various biological systems mainly due to online teaching and learning process by suppressing the immune system. During COVID-19 pandemic the increased usage of internet due to online education and online office leads to more detrimental effects of EMF radiation. Further inculcation of soft computing techniques in EMF radiation has been presented. A literature review focusing on the usage of soft computing techniques in the domain of EMF radiation has been presented in the article. An online survey has been conducted targeting Indian academic stakeholders’ (Specially Teachers, Students and Parents termed as population in paper) for analyzing the awareness towards the bio hazards of EMF exposure.

Suggested Citation

  • Sanjita Das & Shilpa Srivastava & Aprna Tripathi & Saumya Das, 2022. "Meta-Analysis of EMF-Induced Pollution by COVID-19 in Virtual Teaching and Learning With an Artificial Intelligence Perspective," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 17(4), pages 1-20, September.
    • Handle: RePEc:igg:jwltt0:v:17:y:2022:i:4:p:1-20
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