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Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765372/ https://www.ncbi.nlm.nih.gov/pubmed/33334007 http://dx.doi.org/10.3390/vaccines8040766 |
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author | Spassiani, Ilaria Gubian, Lorenzo Palù, Giorgio Sebastiani, Giovanni |
author_facet | Spassiani, Ilaria Gubian, Lorenzo Palù, Giorgio Sebastiani, Giovanni |
author_sort | Spassiani, Ilaria |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7765372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77653722020-12-27 Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality Spassiani, Ilaria Gubian, Lorenzo Palù, Giorgio Sebastiani, Giovanni Vaccines (Basel) Article 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. MDPI 2020-12-15 /pmc/articles/PMC7765372/ /pubmed/33334007 http://dx.doi.org/10.3390/vaccines8040766 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Spassiani, Ilaria Gubian, Lorenzo Palù, Giorgio Sebastiani, Giovanni Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality |
title | Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality |
title_full | Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality |
title_fullStr | Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality |
title_full_unstemmed | Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality |
title_short | Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality |
title_sort | vaccination criteria based on factors influencing covid-19 diffusion and mortality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765372/ https://www.ncbi.nlm.nih.gov/pubmed/33334007 http://dx.doi.org/10.3390/vaccines8040766 |
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