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The document presents a novel mathematical model for predicting waves in the spread of COVID-19, emphasizing that future infections are influenced by past infection rates and public sentiment. The model incorporates a variable infection rate and a 5-day time lag, demonstrating its effectiveness through data from various regions, including Bahrain and Alaska. The findings suggest that human behavior significantly impacts the resurgence of infections, necessitating a departure from traditional epidemic models

Author

haotaguia

Language

EN