Decision-Making Algorithm and Predictive Model to Assess the Impact of Infectious Disease Epidemics on the Healthcare System: The COVID-19 Case Study in Italy

To improve decision-making strategies and prediction based on epidemiological data, so far biased by highly-variable criteria, algorithms using unbiased morbidity parameters, i.e. Intensive Care Units (ICU) and Ordinary Hospitalizations (OH), are proposed. ICU/OH acceleration and velocities are math...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2022-08, Vol.26 (8), p.3661-3672
Hauptverfasser:	Damone, Angelo, Vainieri, Milena, Brunetto, Maurizia Rossana, Bonino, Ferruccio, Nuti, Sabina, Ciuti, Gastone
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Coronaviruses COVID-19 COVID-19 pandemic Decision making decision-making algorithm Epidemic models Epidemics Epidemiology Health care healthcare occupancy Hospitals Infectious diseases Intensive care units Mathematical models Medical services Morbidity Pandemics Prediction algorithms prediction model Prediction models Predictive models Public health SIRD Viral diseases
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