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Forecasting the spread of COVID-19 under different reopening strategies
Medicine and HealthScientific Reports

Forecasting the spread of COVID-19 under different reopening strategies

M. Liu, R. Thomadsen, et al.

This groundbreaking research conducted by Meng Liu, Raphael Thomadsen, and Song Yao combines COVID-19 case data with mobility data to provide new insights into the dynamics of infection spread in the United States. Their modified SIR model reveals a surprising concavity in spread related to the number of infectious individuals, significantly influencing future case forecasts. Discover what happens when social distancing is lifted!... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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