PropertyValue
?:abstract
  • SARS-CoV-2 is highly contagious, rapidly turned into a pandemic, and is causing a relevant number of critical to severe life-threatening COVID-19 patients However, robust statistical studies of a large cohort of patients, potentially useful to implement a vaccination campaign, are rare We analyzed public data of about 19,000 patients for the period 28 February to 15 May 2020 by several mathematical methods Precisely, we describe the COVID-19 evolution of a number of variables that include age, gender, patient’s care location, and comorbidities It prompts consideration of special preventive and therapeutic measures for subjects more prone to developing life-threatening conditions while affording quantitative parameters for predicting the effects of an outburst of the pandemic on public health structures and facilities adopted in response We propose a mathematical way to use these results as a powerful tool to face the pandemic and implement a mass vaccination campaign This is done by means of priority criteria based on the influence of the considered variables on the probability of both death and infection
is ?:annotates of
?:creator
?:journal
  • Vaccines
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Vaccination Criteria based on Factors Influencing COVID-19 Diffusion and Mortality
?:type
?:who_covidence_id
  • #977772
?:year
  • 2020

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