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      Harnessing the Power of Blockchains and Machine Learning to End the COVID-19 Pandemic

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          Abstract

          The last catastrophic pandemic the world has seen was the 1918 H1N1 influenza pandemic, considering that it happened 102 years ago, one can perhaps leverage the technologic advancements over the past century to combat the current pandemic of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (COVID-19), which has already infected more than 16 million people globally and shut down the majority of the daily activities of life. The danger and challenge of infectious diseases such as COVID-19 lies in their highly contagious nature, spreading like wildfire with the potential to infect the majority of the world’s population unless drastic measures are undertaken. In some countries, the social distancing and quarantine measures are either insufficient or ineffective as the number of cases is still on the rise. A major issue causing this rise is that most COVID-19 carriers appear asymptomatic. Identifying infected individuals as well as healthy/immune ones is the most crucial step in halting the disease spread. This is where the role of mass screening comes in.

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          Scientists say mass tests in Italian town have halted Covid-19 there

          L Tondo (2020)
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            MedRec: Using blockchain for medical data access and permission management, 2016

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              Author and article information

              Journal
              Blockchain Healthc Today
              Blockchain Healthc Today
              BHTY
              Blockchain in Healthcare Today
              Partners in Digital Health
              2573-8240
              03 November 2020
              2020
              : 3
              : 10.30953/bhty.v3.153
              Affiliations
              [1 ]College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
              [2 ]Tamarin Health, Brighton, MA, USA
              [3 ]Mayo Clinic Platform, Mayo Clinic, Rochester, MN, USA
              [4 ]Department of Medicine, Mayo Clinic, Rochester, MN, USA
              [5 ]Sheikh Shakhbout Medical City, Mayo Clinic, Abu Dhabi, UAE
              Author notes
              Corresponding Author: Shahrukh K. Hashmi, MD, MPH; Email: hashmi.shahrukh@ 123456mayo.edu
              Article
              153
              10.30953/bhty.v3.153
              9907426
              77181464-3fd1-4ce3-9c03-2c7e213ea843
              © 2020 Shahrukh K. Hashmi

              This is an open access article distributed in accordance with the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) license, which permits others to distribute, adapt, enhance this work noncommercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.

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              blockchain,covid-19,machine-learning,pandemic,point-of-care testing,serology-based test,test

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