Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation
BackgroundThe COVID-19 pandemic has caused major disruptions worldwide since March 2020. The experience of the 1918 influenza pandemic demonstrated that decreases in the infection rates of COVID-19 do not guarantee continuity of the trend. ObjectiveThe aim of this study was to develop a precise spre...
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Format: | Book |
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JMIR Publications,
2020-09-01T00:00:00Z.
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A1234.567 |
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