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Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing
The novel coronavirus disease 2019 (COVID-19) is rapidly spreading with a rising death toll and transmission rate reported in high income countries rather than in low income countries. The overburdened healthcare systems and poor disease surveillance systems in resource-limited settings may struggle...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235895/ https://www.ncbi.nlm.nih.gov/pubmed/32244841 http://dx.doi.org/10.3390/diagnostics10040198 |
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author | Mashamba-Thompson, Tivani P. Crayton, Ellen Debra |
author_facet | Mashamba-Thompson, Tivani P. Crayton, Ellen Debra |
author_sort | Mashamba-Thompson, Tivani P. |
collection | PubMed |
description | The novel coronavirus disease 2019 (COVID-19) is rapidly spreading with a rising death toll and transmission rate reported in high income countries rather than in low income countries. The overburdened healthcare systems and poor disease surveillance systems in resource-limited settings may struggle to cope with this COVID-19 outbreak and this calls for a tailored strategic response for these settings. Here, we recommend a low cost blockchain and artificial intelligence-coupled self-testing and tracking systems for COVID-19 and other emerging infectious diseases. Prompt deployment and appropriate implementation of the proposed system have the potential to curb the transmissions of COVID-19 and the related mortalities, particularly in settings with poor access to laboratory infrastructure. |
format | Online Article Text |
id | pubmed-7235895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72358952020-05-28 Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing Mashamba-Thompson, Tivani P. Crayton, Ellen Debra Diagnostics (Basel) Editorial The novel coronavirus disease 2019 (COVID-19) is rapidly spreading with a rising death toll and transmission rate reported in high income countries rather than in low income countries. The overburdened healthcare systems and poor disease surveillance systems in resource-limited settings may struggle to cope with this COVID-19 outbreak and this calls for a tailored strategic response for these settings. Here, we recommend a low cost blockchain and artificial intelligence-coupled self-testing and tracking systems for COVID-19 and other emerging infectious diseases. Prompt deployment and appropriate implementation of the proposed system have the potential to curb the transmissions of COVID-19 and the related mortalities, particularly in settings with poor access to laboratory infrastructure. MDPI 2020-04-01 /pmc/articles/PMC7235895/ /pubmed/32244841 http://dx.doi.org/10.3390/diagnostics10040198 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Editorial Mashamba-Thompson, Tivani P. Crayton, Ellen Debra Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing |
title | Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing |
title_full | Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing |
title_fullStr | Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing |
title_full_unstemmed | Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing |
title_short | Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing |
title_sort | blockchain and artificial intelligence technology for novel coronavirus disease 2019 self-testing |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235895/ https://www.ncbi.nlm.nih.gov/pubmed/32244841 http://dx.doi.org/10.3390/diagnostics10040198 |
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