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TZID:Europe/Vienna
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DTSTART:20230326T030000
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DTSTART:20231029T020000
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DTSTAMP:20260424T143223Z
UID:612f3252ab4d1510787261@ist.ac.at
DTSTART:20230517T123000
DTEND:20230517T133000
DESCRIPTION:Speaker: Michael LÃ¤ssig\nhosted by Gasper Tkacik\nAbstract: 
 The large-scale evolution of the SARS-CoV-2 virus has been marked by rapid
  turnover of genetic clades. New variants show intrinsic changes\, notably
  increased transmissibility\, as well as antigenic changes that reduce the
  cross-immunity induced by previous infections or vaccinations. Here we es
 tablish a fitness model for SARS-CoV-2 that integrates antigenic and intri
 nsic selection. The model builds on tracking of time-resolved sequence dat
 a\, epidemiological records\, and cross-immunity data of viral variants. W
 e show that antigenic selection\, including contributions of vaccinations 
 and previous infections\, had a sizeable impact on the recent evolution of
  SARS-CoV-2 and emerges as the dominant evolutionary force in the transiti
 on from a pandemic to an endemic state. The fitness model can serve the co
 ntinued surveillance of SARS-CoV-2 evolution in two ways. First\, it succe
 ssfully predicts the short-term evolution of circulating strains\, allowin
 g an early identification of new variants that are likely to displace the 
 previously prevalent variant. Second\, it maps time-dependent windows of s
 election that predict the likely antigenic profile of emerging variants.
LOCATION:Cafeteria / O1 / Lakeside View (I22.O1.006)\, ISTA
ORGANIZER:apal@ist.ac.at
SUMMARY:Michael LÃ¤ssig: Predicting evolutionary trajectories of SARS-CoV
 -2
URL:https://talks-calendar.ista.ac.at/events/3654
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