We provide a probabilistic SIRD model for the COVID-19 pandemic in Italy, where we allow the infection, recovery and death rates to be random. In particular, the underlying random factor is driven by a fractional Brownian motion. Our model is simple and needs only some few parameters to be calibrated.

A fractional model for the COVID-19 pandemic: Application to Italian data / Elisa Alòs, M.E. Mancino, Raúl Merino, Simona Sanfelici. - In: STOCHASTIC ANALYSIS AND APPLICATIONS. - ISSN 1532-9356. - STAMPA. - -:(2020), pp. 1-19. [10.1080/07362994.2020.1846563]

A fractional model for the COVID-19 pandemic: Application to Italian data

M. E. Mancino;
2020

Abstract

We provide a probabilistic SIRD model for the COVID-19 pandemic in Italy, where we allow the infection, recovery and death rates to be random. In particular, the underlying random factor is driven by a fractional Brownian motion. Our model is simple and needs only some few parameters to be calibrated.
2020
-
1
19
Goal 3: Good health and well-being for people
Elisa Alòs, M.E. Mancino, Raúl Merino, Simona Sanfelici
File in questo prodotto:
File Dimensione Formato  
A fractional model for the COVID 19 pandemic Application to Italian data.pdf

Accesso chiuso

Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 4.13 MB
Formato Adobe PDF
4.13 MB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1202361
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 4
social impact