A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality

The coronavirus disease 2019 (COVID-19), with new variants, continues to be a constant pandemic threat that is generating socio-economic and health issues in manifold countries. The principal goal of this study is to develop a machine learning experiment to assess the effects of vaccination on the f...

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Veröffentlicht in:Epidemiology and infection Jg. 150; S. e168
Hauptverfasser: Magazzino, Cosimo, Mele, Marco, Coccia, Mario
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cambridge, UK Cambridge University Press 12.09.2022
Schlagworte:
Algorithms
Antibodies
Antibody response
Artificial intelligence
Coronaviruses
COVID-19
COVID-19 - prevention & control
COVID-19 vaccines
Fatalities
Humans
Infectious diseases
Learning algorithms
Machine Learning
Mortality
Neural networks
Original Paper
Pandemics
Pandemics - prevention & control
Social networks
Socioeconomics
Vaccination
Viral diseases
United Kingdom > UK
United States > US
COVID-19 vaccines
infectious diseases
Clinical decision support system
vaccination campaign
machine learning
crisis management
public health
ISSN:0950-2688, 1469-4409, 1469-4409
Online-Zugang:Volltext
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Zusammenfassung:The coronavirus disease 2019 (COVID-19), with new variants, continues to be a constant pandemic threat that is generating socio-economic and health issues in manifold countries. The principal goal of this study is to develop a machine learning experiment to assess the effects of vaccination on the fatality rate of the COVID-19 pandemic. Data from 192 countries are analysed to explain the phenomena under study. This new algorithm selected two targets: the number of deaths and the fatality rate. Results suggest that, based on the respective vaccination plan, the turnout in the participation in the vaccination campaign, and the doses administered, countries under study suddenly have a reduction in the fatality rate of COVID-19 precisely at the point where the cut effect is generated in the neural network. This result is significant for the international scientific community. It would demonstrate the effective impact of the vaccination campaign on the fatality rate of COVID-19, whatever the country considered. In fact, once the vaccination has started (for vaccines that require a booster, we refer to at least the first dose), the antibody response of people seems to prevent the probability of death related to COVID-19. In short, at a certain point, the fatality rate collapses with increasing doses administered. All these results here can help decisions of policymakers to prepare optimal strategies, based on effective vaccination plans, to lessen the negative effects of the COVID-19 pandemic crisis in socioeconomic and health systems.
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ISSN:0950-2688
1469-4409
1469-4409
DOI:10.1017/S0950268822001418