Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/14287
Authors: | Spassiani, Ilaria* Gubian, Lorenzo* Palù, Giorgio* Sebastiani, Giovanni* |
Title: | Vaccination Criteria Based on Factors Influencing COVID-19 Diffusion and Mortality | Journal: | Vaccines | Series/Report no.: | /8(2020) | Publisher: | MDPI | Issue Date: | 15-Dec-2020 | DOI: | 10.3390/vaccines8040766 | Keywords: | SARS-CoV-2; pandemic preparedness; statistical analysis; vaccines | 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. |
Appears in Collections: | Article published / in press |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Vaccination Criteria Based on Factors Influencing COVID19 Diffusion and Mortality.pdf | 1.72 MB | Adobe PDF | View/Open |
Page view(s)
104
checked on Apr 17, 2024
Download(s)
8
checked on Apr 17, 2024