Semi-empirical power-law scaling of new infection rate to model epidemic dynamics with inhomogeneous mixing

DOI10.1016/j.mbs.2006.01.007zbMath1101.92045OpenAlexW2146539399WikidataQ39748775 ScholiaQ39748775MaRDI QIDQ854162

James P. Smith, Jane M. Riese, Phillip D. Stroud, Phillip R. Romero, Susan M. Mniszewski, Stephen J. Sydoriak

Publication date: 7 December 2006

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2006.01.007

zbMATH Keywords

power lawepidemic modelepidemic dynamicshomogeneous mixing

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (10)

Do fatal infectious diseases eradicate host species? ⋮ Dynamical behavior of computer virus on internet ⋮ Global stability of the endemic equilibrium in infinite dimension: Lyapunov functions and positive operators ⋮ Modelling and inference for epidemic models featuring non-linear infection pressure ⋮ A review of power laws in real life phenomena ⋮ Monitoring and prediction of an epidemic outbreak using syndromic observations ⋮ Comparison of the performance of particle filter algorithms applied to tracking of a disease epidemic ⋮ Signatures of non-homogeneous mixing in disease outbreaks ⋮ On the spread of epidemics in a closed heterogeneous population ⋮ Stochastic Epidemic Modeling

Uses Software

• TRANSIMS

Cites Work

• Unnamed Item
• Effects of behavioral changes in a smallpox attack model
• Generalizations of some stochastic epidemic models
• Statistical mechanics of complex networks
• Bioterrorism: Mathematical Modeling Applications in Homeland Security
• Exploring complex networks

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