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The impact of Covid-19 vaccination on the Italian healthcare system: a scenario analysis
Andrea Marcellusi; Gianluca Fabiano; Paolo Sciattella; Massimo Andreoni; Francesco Saverio Mennini.
Afiliação
  • Andrea Marcellusi; University of Rome "Tor Vergata"
  • Gianluca Fabiano; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
  • Paolo Sciattella; University of Rome Tor Vergata
  • Massimo Andreoni; University of Rome Tor Vergata
  • Francesco Saverio Mennini; University of Rome Tor Vergata
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21258561
ABSTRACT
IntroductionThe objective of this study is to estimate the effects of the national immunisation strategy for Covid-19 in Italy on the national healthcare system. MethodsAn epidemiological scenario analysis was developed in order to simulate the impact of the Covid-19 pandemic on the Italian national healthcare system in 2021. Hospitalisations, ICU admissions and death rates were modelled based on 2020 data. We forecast the impact of the introduction of a primary prevention strategy on the national healthcare system by considering vaccine efficacy, availability of doses and potential population coverage over time. ResultsIn the absence of immunisation, between 57,000 and 63,000 additional deaths are forecast in 2021. Based on the assumptions underlying the two epidemiological scenarios from the 2020 data, our model predicts that cumulative hospital admissions in 2021 will range from 3.4 to 3.9 million. The deployment of vaccine immunisation has the potential to control the evolution of 2021 infections and avoid from 60 to 67 percent of deaths compared to not vaccinating. ConclusionsIn order to inform Italian policymakers on delivering a mass vaccination programme, this study highlights and detects some key factors that must be controlled to ensure that immunisation targets will be met in reasonable time.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico 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 prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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