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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Vaccines |
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| Online Access: | https://www.mdpi.com/2076-393X/8/4/766 |
| _version_ | 1797544621292650496 |
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| author | Ilaria Spassiani Lorenzo Gubian Giorgio Palù Giovanni Sebastiani |
| author_facet | Ilaria Spassiani Lorenzo Gubian Giorgio Palù Giovanni Sebastiani |
| author_sort | Ilaria Spassiani |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T14:03:06Z |
| format | Article |
| id | doaj.art-96b3c61c9e884ee38a6c2d1805073a3d |
| institution | Directory Open Access Journal |
| issn | 2076-393X |
| language | English |
| last_indexed | 2024-03-10T14:03:06Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vaccines |
| spelling | doaj.art-96b3c61c9e884ee38a6c2d1805073a3d2023-11-21T00:56:26ZengMDPI AGVaccines2076-393X2020-12-018476610.3390/vaccines8040766Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and MortalityIlaria Spassiani0Lorenzo Gubian1Giorgio Palù2Giovanni Sebastiani3Istituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, ItalyUOC Sistemi Informativi Azienda Zero—Regione del Veneto, 35131 Padua, ItalyDepartment of Molecular Medicine, University of Padua, 35121 Padua, ItalyIstituto per le Applicazioni del Calcolo Mauro Picone, Consiglio Nazionale delle Ricerche, 00185 Rome, ItalySARS-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.https://www.mdpi.com/2076-393X/8/4/766SARS-CoV-2statistical analysisvaccinespandemic preparedness |
| spellingShingle | Ilaria Spassiani Lorenzo Gubian Giorgio Palù Giovanni Sebastiani Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality Vaccines SARS-CoV-2 statistical analysis vaccines pandemic preparedness |
| 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 | SARS-CoV-2 statistical analysis vaccines pandemic preparedness |
| url | https://www.mdpi.com/2076-393X/8/4/766 |
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