Analysis and forecast of COVID-19 spreading in China, Italy and France

By D. Fanelli, F. Piazza. Chaos, Solitons & Fractals, 2020

901 citations recorded by the source corpus.

Highlights • Epidemic spreading• COVID19• SIR model• Recursive relations and non linear fitting

Subfields: Economics and Econometrics, Global and Planetary Change, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/5abfd465e2ca7a8c617a21b83b88f3b32117b770

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. I. Cooper
2. Chris G. Antonopoulos
3. Argha Mondal

In Global and Planetary Change

1. I. Cooper
2. Chris G. Antonopoulos
3. Argha Mondal
4. Tanujit Chakraborty
5. Indrajit Ghosh

In Modeling and Simulation

1. I. Cooper
2. Chris G. Antonopoulos
3. Argha Mondal
4. Tanujit Chakraborty
5. Indrajit Ghosh

Citations in the corpus

• COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions (2020, neutral): “nced the Coronavirus Disease 2019, the scientic community has been working hard to investigate SARS-CoV-2 epidemiological dynamics. Some works used the SIR model to characterize the COVID19 dynamics [9, 10, 11, 12]. However, more precise COVID-19 simulations usually used an approach based on the SEI”
• Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil (2020, background): “Also, different studies are evaluating the impacts of COVID-19 on society, whether through predictions of future cases, as well as variables capable of helping to understand the spread of this disease [5, 6, 7, 8, 9].”
• Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis (2020, background): “system for Canada, France, India, South Korea, and the UK. To anticipate additional resources to combat the epidemic, various mathematical and statistical forecasting tools [21; 34] and outside China [20; 36; 10] were applied to generate short-term and long-term forecasts of reported cases. These mo”
• A SIR model assumption for the spread of COVID-19 in different communities (2020, positive): “Modelling approaches [8, 16, 17, 18, 19, 20, 21] are helpful to understand and predict the possibility and severity of the disease outbreak and, provide key information to determine the intensity of COVID-19 disease intervention.”
• SutteARIMA: Short-term forecasting method, a case: Covid-19 and stock market in Spain (2020, neutral): “Forecasting or predictions related to Covid-19 have been studied by various researchers: (Fanelli and Piazza, 2020) studying the forecasting of the spread of covid-19 in China, Italy, and France using the SIRD model, (Roosa et al., 2020) studying about Covid-19 real-time forecast in China with gener”