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                <text>Dominio científico: Coronavirus</text>
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              <text>Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing</text>
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              <text>Tivani  P. Mashamba-Thompson, Ellen  Debra Crayton</text>
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              <text>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.</text>
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              <text>artificial intelligence, blockchain, Self-testing, novel coronavirus disease-19</text>
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              <text>Epidemiology and Health</text>
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              <text>Korean Society of Epidemiology</text>
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              <text>Medicine (General)</text>
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