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Model Based Estimation of the SARS-CoV-2 Immunization Level in Austria and Consequences for Herd Immunity Effects
Martin Richard Bicher; Claire Rippinger; Günter Richard Schneckenreither; Nadine Weibrecht; Christoph Urach; Melanie Zechmeister; Dominik Brunmeir; Wolfgang Huf; Niki Popper.
Afiliação
  • Martin Richard Bicher; TU Wien
  • Claire Rippinger; dwh GmbH
  • Günter Richard Schneckenreither; Vienna University of Technology
  • Nadine Weibrecht; DEXHELPP
  • Christoph Urach; dwh GmbH
  • Melanie Zechmeister; DEXHELPP
  • Dominik Brunmeir; dwh GmbH
  • Wolfgang Huf; Vienna Healthcare Group
  • Niki Popper; TU Wien
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21253251
ABSTRACT
Several systemic factors indicate, that worldwide herd immunity against COVID-19 will probably not be achieved in 2021. Vaccination programs are limited by availability of doses, the number of people already infected is still too low to have a disease preventing impact and new emerging variants of the virus seem to partially neglect developed antibodies from previous infections. Nevertheless, after one year of COVID-19 observing high numbers of reported cases in most European countries, we might expect that the immunization level should have an impact on the spread of SARS-CoV-2. We used an agent-based simulation model to reproduce the COVID-19 pandemic in Austria to estimate the immunization level of the population as of February 2021. We ran several simulations of an uncontrolled epidemic wave with varying initial immunization scenarios to assess the effect on the effective reproduction number. We also used a classic differential equation SIR-model to cross-validate the simulation model. As of February 2021, 14.7% of the Austrian population has been affected by a SARS-CoV-2 infection which causes a 9% reduction of the effective reproduction number and a 24.7% reduction of the prevalence peak compared to a fully susceptible population. This estimation is now recomputed on a regular basis to publish model based analysis of immunization level in Austria also including the fast growing effects of vaccination programs. This provides substantial information for decision makers to evaluate the necessity of NPI-measures based on the estimated impact of natural and vaccinated immunization.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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