Author: Hasnain, Muhammad; Pasha, Muhammad Fermi; Ghani, Imran; Jeong, Seung Ryul
Title: Emerging technologies and their roles during the COVID-19 pandemic and safety challenges of frontline medical staff: a rapid review Cord-id: oglzqogm Document date: 2021_8_4
ID: oglzqogm
Snippet: PURPOSE: The coronavirus 2019 (COVID-19) pandemic has rapidly spread worldwide, with an ever-increasing number of confirmed positive cases and mortality rate. Moreover, frontline medical staff fighting with the COVID-19 infection have been infected and show psychological effects of the pandemic. This study presents an overview of the emerging literature on the safety challenges of frontline medical staff and how technology is being used to control the COVID-19 pandemic. METHODS: This study condu
Document: PURPOSE: The coronavirus 2019 (COVID-19) pandemic has rapidly spread worldwide, with an ever-increasing number of confirmed positive cases and mortality rate. Moreover, frontline medical staff fighting with the COVID-19 infection have been infected and show psychological effects of the pandemic. This study presents an overview of the emerging literature on the safety challenges of frontline medical staff and how technology is being used to control the COVID-19 pandemic. METHODS: This study conducts a rapid review of available studies by following the “preferred reporting items for systematic reviews and meta-analyses†(PRISMA) guidelines. Sixty-three articles were selected for this rapid review paper from three popular digital data repositories. RESULTS: The majority of the studies chosen focused on the discussion of COVID-19 with regard to China, Singapore, Italy, and the USA. A previously proposed framework is used to synthesize the findings of this study. The results throw light on the several challenges faced by medical staff during the COVID-19 pandemic. Eleven major technologies have been identified in this paper. CONCLUSION: This work concludes that technology helps in the prevention and detection of the COVID-19 infection, where it specifically helps in reducing the safety challenges of frontline medical staff and monitoring the COVID-19 patients.
Search related documents:
Co phrase search for related documents- academic health center and acute respiratory syndrome coronavirus: 1, 2
- academic health center and administrative staff: 1, 2
- academic health center and machine learning: 1
- actual case and machine learning: 1, 2
- acute respiratory syndrome and additional funding: 1
Co phrase search for related documents, hyperlinks ordered by date