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Guillermo Samuel Hamlin

Guillermo Samuel Hamlin
harvard.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from harvard.edu Daily Mail and Mail on Sunday newspapers.

School of Science appoints 11 faculty members to named professorships

School of Science appoints 11 faculty members to named professorships
mit.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from mit.edu Daily Mail and Mail on Sunday newspapers.

New mathematical model predicts the spread of COVID-19

New mathematical model predicts the spread of COVID-19 Scientists at the U.S. Department of Energy s (DOE) Brookhaven National Laboratory and the University of Illinois Urbana-Champaign (UIUC) have developed a new mathematical model for predicting how epidemics such as COVID-19 spread. This model not only accounts for individuals varying biological susceptibility to infection but also their levels of social activity, which naturally change over time. Using their model, the team showed that a temporary state of collective immunity which they termed transient collective immunity emerged during the early, fast-paced stages of the epidemic. However, subsequent waves, or surges in the number of cases, are predicted to appear because of changing social behaviors due to pandemic fatigue or variations in imposed mitigations. Their results appeared online on April 8, 2021 in advance of publication in the

COVID-19 peaks reflect time-dependent social activity, not herd immunity

Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and the University of Illinois Urbana-Champaign (UIUC) have developed a new mathematical model for predicting how epidemics such as COVID-19 spread. This model not only accounts for individuals’ varying biological susceptibility to infection but also their levels of social activity, which naturally change over time. Using their model, the team showed that a temporary state of collective immunity–which they termed “transient collective immunity”–emerged during the early, fast-paced stages of the epidemic. However, subsequent “waves,” or surges in the number of cases, are predicted to appear because of changing social behaviors due to pandemic fatigue or variations in imposed mitigations. Their results appeared online on April 8, 2021 in advance of publication in the Proceedings of the National Academ

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