About this item:

75 Views | 25 Downloads

Author Notes:

Ahmet F. Coskun, Email: ahmet.coskun@bme.gatech.edu

COVID-19 Study Group is the list of additional authors on this manuscript: Kasfia Kazi, Pushti Desai, Shivam Patel, Harini Mohan, Melissa Ozbeyler, Samuel Henderson, Andrew Borst, and Beliz Utebay. Figures were created with BioRender.com.

The authors declare no conflicts of interest.

Subject:

Research Funding:

A.F.C. holds a Career Award at the Scientific Interface from Burroughs Wellcome Fund. A.F.C. was supported by start-up funds from the Georgia Institute of Technology and Emory University.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Medicine, General & Internal
  • General & Internal Medicine
  • COVID-19
  • SARS-CoV-2
  • rapid testing
  • immunity
  • vaccines
  • 3D printing
  • do-it-yourself
  • digital tracking
  • machine learning
  • pandemic policy
  • RESPIRATORY SYNDROME CORONAVIRUS
  • DISCOVERY
  • INHIBITOR
  • HEPATITIS
  • IMMUNITY

COVID-19 Diagnostics, Tools, and Prevention

Tools:

Journal Title:

DIAGNOSTICS

Volume:

Volume 10, Number 6

Publisher:

Type of Work:

Article | Final Publisher PDF

Abstract:

The Coronavirus Disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), outbreak from Wuhan City, Hubei province, China in 2019 has become an ongoing global health emergency. The emerging virus, SARS-CoV-2, causes coughing, fever, muscle ache, and shortness of breath or dyspnea in symptomatic patients. The pathogenic particles that are generated by coughing and sneezing remain suspended in the air or attach to a surface to facilitate transmission in an aerosol form. This review focuses on the recent trends in pandemic biology, diagnostics methods, prevention tools, and policies for COVID-19 management. To meet the growing demand for medical supplies during the COVID-19 era, a variety of personal protective equipment (PPE) and ventilators have been developed using do-it-yourself (DIY) manufacturing. COVID-19 diagnosis and the prediction of virus transmission are analyzed by machine learning algorithms, simulations, and digital monitoring. Until the discovery of a clinically approved vaccine for COVID-19, pandemics remain a public concern. Therefore, technological developments, biomedical research, and policy development are needed to decipher the coronavirus mechanism and epidemiological characteristics, prevent transmission, and develop therapeutic drugs.

Copyright information:

© 2020 by the authors.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/rdf).
Export to EndNote