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Magdalena Rosinska

Publications -  26
Citations -  2767

Magdalena Rosinska is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 3, co-authored 5 publications receiving 2235 citations.

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Social contacts and mixing patterns relevant to the spread of infectious diseases.

TL;DR: This study provides the first large-scale quantitative approach to contact patterns relevant for infections transmitted by the respiratory or close-contact route, and the results should lead to improved parameterisation of mathematical models used to design control strategies.
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Risk assessment of COVID-19 epidemic resurgence in relation to SARS-CoV-2 variants and vaccination passes

TL;DR: In this paper , the authors proposed the VAP-SIRS model that considers possibly lower restrictions for the VP holders than for the rest of the population, imperfect vaccination effectiveness against infection, rates of (re-)vaccination and waning immunity, fraction of never-vaccinated, and the increased transmissibility of the Delta variant.

POLYMOD social contact data

TL;DR: This data formed part of POLYMOD, a European Commission project funded within the Sixth Framework Programme (6th Framework Programme) as discussed by the authors, which was used for data collection and analysis.
Posted ContentDOI

Risk of COVID-19 epidemic resurgence with the introduction of vaccination passes

TL;DR: In this article, the authors proposed the VAP-SIRS model that accounts for susceptible, infected, and recovered subpopulations, also within the group of vaccinated pass holders, and identified critical variables that should be considered by policymakers and show how unfavourable outcomes can be avoided using adaptive policies.
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Data-driven case fatality rate estimation for the primary lineage of SARS-CoV-2 in Poland

TL;DR: In this article , a case fatality rate for the COVID-19 pandemic outbreak in Poland was studied. And the authors applied competing risk models to perform both uni-and multivariate analyses on specific subpopulations selected by different factors including the key indicators: age, sex, hospitalization.