Cargando…

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

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-...

Descripción completa

Detalles Bibliográficos
Autores principales: Fatoum, Hanaa A., Kuzmeskas, Kat, Halamka, John D., Hashmi, Shahrukh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Partners in Digital Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907426/
https://www.ncbi.nlm.nih.gov/pubmed/36777052
http://dx.doi.org/10.30953/bhty.v3.153
_version_ 1784884173689847808
author Fatoum, Hanaa A.
Kuzmeskas, Kat
Halamka, John D.
Hashmi, Shahrukh K.
author_facet Fatoum, Hanaa A.
Kuzmeskas, Kat
Halamka, John D.
Hashmi, Shahrukh K.
author_sort Fatoum, Hanaa A.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9907426
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Partners in Digital Health
record_format MEDLINE/PubMed
spelling pubmed-99074262023-02-10 Harnessing the Power of Blockchains and Machine Learning to End the COVID-19 Pandemic Fatoum, Hanaa A. Kuzmeskas, Kat Halamka, John D. Hashmi, Shahrukh K. Blockchain Healthc Today Discussion 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. Partners in Digital Health 2020-11-03 /pmc/articles/PMC9907426/ /pubmed/36777052 http://dx.doi.org/10.30953/bhty.v3.153 Text en © 2020 Shahrukh K. Hashmi https://creativecommons.org/licenses/by-nc/4.0/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.
spellingShingle Discussion
Fatoum, Hanaa A.
Kuzmeskas, Kat
Halamka, John D.
Hashmi, Shahrukh K.
Harnessing the Power of Blockchains and Machine Learning to End the COVID-19 Pandemic
title Harnessing the Power of Blockchains and Machine Learning to End the COVID-19 Pandemic
title_full Harnessing the Power of Blockchains and Machine Learning to End the COVID-19 Pandemic
title_fullStr Harnessing the Power of Blockchains and Machine Learning to End the COVID-19 Pandemic
title_full_unstemmed Harnessing the Power of Blockchains and Machine Learning to End the COVID-19 Pandemic
title_short Harnessing the Power of Blockchains and Machine Learning to End the COVID-19 Pandemic
title_sort harnessing the power of blockchains and machine learning to end the covid-19 pandemic
topic Discussion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907426/
https://www.ncbi.nlm.nih.gov/pubmed/36777052
http://dx.doi.org/10.30953/bhty.v3.153
work_keys_str_mv AT fatoumhanaaa harnessingthepowerofblockchainsandmachinelearningtoendthecovid19pandemic
AT kuzmeskaskat harnessingthepowerofblockchainsandmachinelearningtoendthecovid19pandemic
AT halamkajohnd harnessingthepowerofblockchainsandmachinelearningtoendthecovid19pandemic
AT hashmishahrukhk harnessingthepowerofblockchainsandmachinelearningtoendthecovid19pandemic