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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/3465| Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing | |
| Tivani P Mashamba-Thompson. Ellen Debra Crayton. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| 10.3390/diagnostics10040198 | |
| 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. | |
| Diagnostics | |
| 2020 | |
| Artículo | |
| https://www.mdpi.com/2075-4418/10/4/198/pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| 1104295.pdf | 653.29 kB | Adobe PDF | Visualizar/Abrir |