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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...

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Autores principales: Mashamba-Thompson, Tivani P., Crayton, Ellen Debra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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