Modeling the second wave of COVID-19 infections in France and Italy via a stochastic SEIR model

DOI10.1063/5.0015943zbMath1451.92285arXiv2006.05081OpenAlexW3092754453WikidataQ103824604 ScholiaQ103824604MaRDI QIDQ5140869

Tommaso Alberti, Davide Faranda

Publication date: 17 December 2020

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.05081

Mathematics Subject Classification ID

Epidemiology (92D30)

Related Items (10)

Two-Population SIR Model and Strategies to Reduce Mortality in Pandemics ⋮ A two diffusion stochastic model for the spread of the new corona virus SARS-CoV-2 ⋮ Stationary distribution and long-time behavior of COVID-19 model with stochastic effect ⋮ Mathematical analysis of spread models: from the viewpoints of deterministic and random cases ⋮ A multi-strain epidemic model for COVID-19 with infected and asymptomatic cases: application to French data ⋮ Analysis of pandemic with game methodology and numerical approximation ⋮ Stochastic transmission in epidemiological models ⋮ Continuous-time stochastic processes for the spread of COVID-19 disease simulated via a Monte Carlo approach and comparison with deterministic models ⋮ Recruitment effects on the evolution of epidemics in a simple SIR model ⋮ Spreading processes in post-epidemic environments

Cites Work

• Predicting the second wave of COVID-19 in Washtenaw County, MI
• A stretched logistic equation for pandemic spreading
• Vaccinating behaviour, information, and the dynamics of SIR vaccine preventable diseases
• Extreme value laws for dynamical systems under observational noise
• Compartmental Models in Epidemiology
• Forecasting the daily and cumulative number of cases for the COVID-19 pandemic in India

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