A general theory for infectious disease dynamics

DOI10.1016/j.chaos.2022.112860OpenAlexW4309780572MaRDI QIDQ2679999

Giuseppe Carbone, Ilario De Vincenzo

Publication date: 26 January 2023

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2022.112860

zbMATH Keywords

epidemicscompartmental modelsSIRCOVID-19SEIRinfection spreading

Mathematics Subject Classification ID

Epidemiology (92D30) Dynamical systems in biology (37N25) Population dynamics (general) (92D25)

Cites Work

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• Generality of the final size formula for an epidemic of a newly invading infectious disease
• Signatures of non-homogeneous mixing in disease outbreaks
• Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China
• The Mathematics of Infectious Diseases
• The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends
• Mathematical Models in Population Biology and Epidemiology
• On the spread of a disease with gamma distributed latent and infectious periods
• The estimation of latent and infectious periods
• Contributions to the mathematical theory of epidemics. II. —The problem of endemicity
• Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study
• Some Stochastic Models for Small Epidemics in Large Populations
• SIGNIFICANCE TESTS FOR A VARIABLE CHANCE OF INFECTION IN CHAIN-BINOMIAL THEORY
• SIGNIFICANCE TESTS FOR A VARIABLE CHANCE OF INFECTION IN CHAIN-BINOMIAL THEORY

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