STOCHASTIC DISCRETE-TIME AGE-OF-INFECTION EPIDEMIC MODELS

DOI10.1142/S1793524512500660zbMath1300.92101OpenAlexW2101558744MaRDI QIDQ2921502

Guy Katriel

Publication date: 8 October 2014

Published in: International Journal of Biomathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1793524512500660

zbMATH Keywords

likelihood functionepidemic modelage of infection

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (3)

Stochastic models in the problems of predicting the epidemiological situation ⋮ Parameter estimation on a stochastic SIR model with media coverage ⋮ SPREADING DYNAMICS OF A DISEASE-AWARENESS SIS MODEL ON COMPLEX NETWORKS

Cites Work

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• Generality of the final size formula for an epidemic of a newly invading infectious disease
• Discrete epidemic models
• Age-of-infection and the final size relation
• Stochastic epidemic models and their statistical analysis
• Comparison of deterministic and stochastic SIS and SIR models in discrete time
• Some properties of a simple stochastic epidemic model of SIR type
• Stochastic Epidemic Modeling
• Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study

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