Safely opening schools: artificial intelligence techniques to control transmission of COVID-19

Authors

  • Azza Sarfraz Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA Department of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan http://orcid.org/0000-0001-8206-5745
  • Zouina Sarfraz Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA Department of Research & Publication, Fatima Jinnah Medical University, Lahore, Pakistan http://orcid.org/0000-0002-5132-7455
  • Donald Hathaway III Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA
  • Sarabjot Singh Makkar Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA
  • Trissa Paul Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA
  • Alanna Barrios Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA
  • Muzna Sarfraz Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA CMH Lahore Medical And Dental College, Lahore, Pakistan
  • Gaurav Patel Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA
  • Nazma Hanif Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA
  • Hafiza Hussain Department of Research & Publication, Fatima Jinnah Medical University, Lahore, Pakistan
  • Zainab Nadeem Medical College, Aga Khan University, Karachi, Pakistan
  • Michael Talalaev Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA
  • Marcos A. Sanchez-Gonzalez Division of Research & Academic Affairs, Larkin Health System, South Miami, FL, USA

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20210029

Keywords:

School health, Artificial intelligence, Machine learning, Disease transmission, COVID-19

Abstract

Artificial intelligence techniques and similar digital technologies are promising applications for surveillance systems, contact tracing, and pandemic planning amid the COVID-19 pandemic. With no long-term effective treatment or vaccinations available, it is highly important to scale intelligence solutions to promote detection, school-level screening, monitoring, reducing burden of staff, and prediction potential COVID-19 outbreaks at schools. The objectives of this paper were to present the artificial intelligence for safely opening schools model, and build a solidifying analysis of current literature for applications of the system. The applications are imminent to promoting school health by maximizing the potential of AI technologies. While the AISOS model is not a silver bullet, the improvement in school transmission will be particularly useful as an emergent temporary, potentially permanent, measure of transmission control and monitoring.

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Published

2021-01-27

How to Cite

Sarfraz, A., Sarfraz, Z., III, D. H., Makkar, S. S., Paul, T., Barrios, A., Sarfraz, M., Patel, G., Hanif, N., Hussain, H., Nadeem, Z., Talalaev, M., & Sanchez-Gonzalez, M. A. (2021). Safely opening schools: artificial intelligence techniques to control transmission of COVID-19. International Journal Of Community Medicine And Public Health, 8(2), 867–874. https://doi.org/10.18203/2394-6040.ijcmph20210029

Issue

Section

Review Articles