Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy

Pietro Hiram Guzzi, Giuseppe Tradigo and Pierangelo Veltri
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Pietro Hiram Guzzi: Department of Surgical and Medical Sciences, University of Catanzaro, 88100 Catanzaro, Italy
Giuseppe Tradigo: Department of Surgical and Medical Sciences, University of Catanzaro, 88100 Catanzaro, Italy
Pierangelo Veltri: Department of Surgical and Medical Sciences, University of Catanzaro, 88100 Catanzaro, Italy

IJERPH, 2020, vol. 17, issue 10, 1-9

Abstract: COVID-19 is a worldwide emergency since it has rapidly spread from China to almost all the countries worldwide. Italy has been one of the most affected countries after China. North Italian regions, such as Lombardia and Veneto, had an abnormally large number of cases. COVID-19 patients management requires availability of sufficiently large number of Intensive Care Units (ICUs) beds. Resources shortening is a critical issue when the number of COVID-19 severe cases are higher than the available resources. This is also the case at a regional scale. We analysed Italian data at regional level with the aim to: (i) support health and government decision-makers in gathering rapid and efficient decisions on increasing health structures capacities (in terms of ICU slots) and (ii) define a geographic model to plan emergency and future COVID-19 patients management using reallocating them among health structures. Finally, we retain that the here proposed model can be also used in other countries.

Keywords: COVID-19; prediction of infected; data analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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