Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing

Título

Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing

Autor

Tivani P. Mashamba-Thompson, Ellen Debra Crayton

Descripción

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.

Fecha

2020

Materia

artificial intelligence, blockchain, Self-testing, novel coronavirus disease-19

Identificador

10.3390/diagnostics10040198

Fuente

Epidemiology and Health

Editor

Korean Society of Epidemiology

Cobertura

Medicine (General)

Archivos

https://socictopen.socict.org/files/to_import/pdfs/85655dbf48025b36366222d25e2bd9db.pdf

Colección

Citación

Tivani P. Mashamba-Thompson, Ellen Debra Crayton, “Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing,” SOCICT Open, consulta 19 de abril de 2026, https://www.socictopen.socict.org/items/show/10343.

Formatos de Salida

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