Stochastic epidemic modeling with application to the Sars-Cov-2 pandemic in Italy
Year of publication: |
2021
|
---|---|
Authors: | Arbia, Giuseppe |
Published in: |
Rivista internazionale di scienze sociali. - Milano : Vita e Pensiero, ISSN 1125-9868, ZDB-ID 205554-5. - Vol. 129.2021, 1, p. 21-35
|
Subject: | Econometric models | Time series models | Epidemiological models | SIR model | Simplified SIR model | Discrete-time SIR model | Epidemie | Epidemic | Coronavirus | Zeitreihenanalyse | Time series analysis | Italien | Italy | Theorie | Theory | Modellierung | Scientific modelling | Makroökonometrie | Macroeconometrics |
-
Recursive stacked leakynet-based compartmental model for analysis of COVID-19 transmission dynamics
Raychaudhuri, Soumya Jyoti, (2023)
-
Modeling the Covid-19 epidemic using time series econometrics
Golinski, Adam, (2020)
-
Modeling the Covid-19 Epidemic using Time Series Econometrics
Golinski, Adam, (2021)
- More ...
-
A micro spatial analysis of firm demography: the case of food stores in the area of Trento (Italy)
Arbia, Giuseppe, (2015)
-
The Spatial Distribution of Economic Activities in Italy
Dominicis, Laura de, (2007)
-
Analysis of spatial concentration and dispersion
Arbia, Giuseppe,
- More ...