Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy.
Pietro Hiram GuzziGiuseppe TradigoPierangelo VeltriPublished in: International journal of environmental research and public health (2020)
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.
Keyphrases
- sars cov
- public health
- intensive care unit
- healthcare
- coronavirus disease
- emergency department
- high resolution
- mental health
- mechanical ventilation
- health information
- respiratory syndrome coronavirus
- health promotion
- acute respiratory distress syndrome
- social media
- electronic health record
- risk assessment
- machine learning
- decision making
- quantum dots
- tertiary care
- extracorporeal membrane oxygenation
- high density
- data analysis