A Note on an Epidemic Model with Cautionary Response in the Presence of Asymptomatic Individuals

Article Mathematics, Applied

Complex network model for COVID-19: Human behavior, pseudo-periodic solutions and multiple epidemic waves

Cristiana J. Silva et al.

Summary: We propose a mathematical model for the transmission dynamics of SARS-CoV-2 in a homogeneously mixing non constant population and study the impact of human behavior and public health policies on the dynamics of active infected individuals. Pseudo-oscillations between disease-free and endemic equilibria are observed in a biologically feasible region, representing the emergence of epidemic waves. The complex network model based on real data from Portugal is used to capture the impact of mobility in COVID-19 dynamics.

JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS (2022)

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Article Mathematics, Interdisciplinary Applications

Behavioral SIR models with incidence-based social-distancing

Alberto d'Onofrio et al.

Summary: Most available behavioral epidemiology models link individual behavioral responses to infection prevalence. However, this study considers a novel approach where behavioral responses are incidence-based, using information on infection incidence. The differences and dynamical implications of this approach are discussed, showing the potential for stable recurrent oscillations in the endemic equilibrium.

CHAOS SOLITONS & FRACTALS (2022)

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Article Multidisciplinary Sciences

Explaining COVID-19 outbreaks with reactive SEIRD models

Kunal Menda et al.

Summary: This study explains the diversity in epidemic progressions across counties in the United States using an extended SEIRD model with a neural network. The model accurately predicts infection rates and substantially reduces errors compared to standard SEIRD models. Additionally, the methodology for handling partial observability shows significant improvement in estimating unobserved quantities.

SCIENTIFIC REPORTS (2021)

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Article Computer Science, Information Systems

A Generalized Mechanistic Model for Assessing and Forecasting the Spread of the COVID-19 Pandemic

Hamdi Friji et al.

Summary: The global COVID-19 pandemic calls for mechanistic models to predict future trends and minimize public harm. Parameters are determined through optimization fitting, resulting in more accurate predictions.

IEEE ACCESS (2021)

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Article Public, Environmental & Occupational Health