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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-...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Partners in Digital Health
2020
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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 |
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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 |
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