COVID-19 Diagnostics, Tools, and Prevention
by
Mayar Allam 1,†
, Shuangyi Cai 1,†, Shambavi Ganesh 1,2, Mythreye Venkatesan 1,2, Saurabh Doodhwala 1,3, Zexing Song 1,3, Thomas Hu 1,2, Aditi Kumar 1, Jeremy Heit 1, COVID-19 Study Group 1,4,5 and Ahmet F. Coskun 1,*
Mayar Allam 1,†, Shuangyi Cai 1,†, Shambavi Ganesh 1,2, Mythreye Venkatesan 1,2, Saurabh Doodhwala 1,3, Zexing Song 1,3, Thomas Hu 1,2, Aditi Kumar 1, Jeremy Heit 1, COVID-19 Study Group 1,4,5 and Ahmet F. Coskun 1,*
1
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA
2
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
3
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA
4
Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA
5
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Diagnostics 2020, 10(6), 409; https://doi.org/10.3390/diagnostics10060409
Received: 12 May 2020 / Revised: 13 June 2020 / Accepted: 14 June 2020 / Published: 16 June 2020
(This article belongs to the Special Issue Virus Diagnostic Methods and Techniques: Learning from the COVID-19 Global Outbreak)
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.
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Keywords:
COVID-19; SARS-CoV-2; rapid testing; immunity; vaccines; 3D printing; do-it-yourself; digital tracking; machine learning; pandemic policy
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Allam, M.; Cai, S.; Ganesh, S.; Venkatesan, M.; Doodhwala, S.; Song, Z.; Hu, T.; Kumar, A.; Heit, J.; Study Group, C.-1.; Coskun, A.F. COVID-19 Diagnostics, Tools, and Prevention. Diagnostics 2020, 10, 409.
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