Simulations of cumulative incidence rates.

<p>Simulated total number of infections compared with the actual total number of infections (A) if workplace closure had been at least at the level required for some or all-but-essential sectors and (B) if no travel-related cases or twice as many travel-related cases had occurred.</p>

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Bibliographic Details
Main Author:	Hiie Soeorg (11448028) (author)
Other Authors:	Taavi Päll (191041) (author), Aare Abroi (18536353) (author), Radko Avi (437674) (author), Olga Sadikova (18536368) (author), Mari-Anne Härma (838245) (author), Tuuli Reisberg (421607) (author), Irja Lutsar (437687) (author), Kristi Huik (437673) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Infectious Diseases Virology Computational Biology two omicron ba 9 &# 8211 2476 &# 8211 1437 &# 8211 imputing lineage based 1 may 2022 policy measures implemented aged &# 8805 2022 </ p school holidays could 1 february 2021 lower reported incidence 2 infection incidence policy measures school holidays common lineage school terms infection rates 2 infection incidence growth incidence data xlink "> workplace closures week increased week decreased testing rate study suggests study period slower growth six delta sequencing results related cases random samples previous week per 100 one alpha four regions final model factors influencing delta variant cumulative vaccination common lineages caused 84 2 infections 19 pandemic 15 years 001 ).
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Simulations of cumulative incidence rates.

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