Modeling Provincial Covid-19 Epidemic Data Using an Adjusted Time-Dependent SIRD Model

Luisa Ferrari, Giuseppe Gerardi, Giancarlo Manzi, Alessandra Micheletti, Federica Nicolussi, Elia Biganzoli and Silvia Salini
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Luisa Ferrari: Department of Statistical Science, University College London, London WC1E 6BT, UK
Giuseppe Gerardi: Department of Economics, Management and Quantitative Methods, University of Milan, 20122 Milan, Italy
Alessandra Micheletti: Department of Environmental Science and Policy and Data Science Research Center, University of Milan, 20122 Milan, Italy
Federica Nicolussi: Department of Economics, Management and Quantitative Methods and Data Science Research Center, University of Milan, 20122 Milan, Italy
Elia Biganzoli: Department of Clinical Sciences and Community Health and Data Science Research Center, University of Milan, 20122 Milan, Italy
Silvia Salini: Department of Economics, Management and Quantitative Methods and Data Science Research Center, University of Milan, 20122 Milan, Italy

IJERPH, 2021, vol. 18, issue 12, 1-20

Abstract: In this paper, we develop a forecasting model for the spread of COVID-19 infection at a provincial (i.e., EU NUTS-3) level in Italy by using official data from the Italian Ministry of Health integrated with data extracted from daily official press conferences of regional authorities and local newspaper websites. This data integration is needed as COVID-19 death data are not available at the NUTS-3 level from official open data channels. An adjusted time-dependent SIRD model is used to predict the behavior of the epidemic; specifically, the number of susceptible, infected, deceased, recovered people and epidemiological parameters. Predictive model performance is evaluated using comparison with real data.

Keywords: COVID-19; SIRD-derived models; Italy; EU NUTS-3 regions; epidemic data (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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