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Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality

Istituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, Italy
UOC Sistemi Informativi Azienda Zero—Regione del Veneto, 35131 Padua, Italy
Department of Molecular Medicine, University of Padua, 35121 Padua, Italy
Istituto per le Applicazioni del Calcolo Mauro Picone, Consiglio Nazionale delle Ricerche, 00185 Rome, Italy
Mathematics Department “Guido Castelnuovo”, Sapienza University of Rome, 00185 Rome, Italy
Department of Mathematics and Statistics, University of Troms∅, N-9037 Troms∅, Norway
Author to whom correspondence should be addressed.
Vaccines 2020, 8(4), 766;
Received: 9 November 2020 / Revised: 28 November 2020 / Accepted: 13 December 2020 / Published: 15 December 2020
(This article belongs to the Special Issue Vaccines: Uptake and Equity in Times of the COVID-19 Pandemic)
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. View Full-Text
Keywords: SARS-CoV-2; statistical analysis; vaccines; pandemic preparedness SARS-CoV-2; statistical analysis; vaccines; pandemic preparedness
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MDPI and ACS Style

Spassiani, I.; Gubian, L.; Palù, G.; Sebastiani, G. Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality. Vaccines 2020, 8, 766.

AMA Style

Spassiani I, Gubian L, Palù G, Sebastiani G. Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality. Vaccines. 2020; 8(4):766.

Chicago/Turabian Style

Spassiani, Ilaria, Lorenzo Gubian, Giorgio Palù, and Giovanni Sebastiani. 2020. "Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality" Vaccines 8, no. 4: 766.

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