Kermack-McKendrick epidemics vaccinated
Kybernetika (2008)
- Volume: 44, Issue: 5, page 705-714
- ISSN: 0023-5954
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topStaněk, Jakub. "Kermack-McKendrick epidemics vaccinated." Kybernetika 44.5 (2008): 705-714. <http://eudml.org/doc/33958>.
@article{Staněk2008,
abstract = {This paper proposes a deterministic model for the spread of an epidemic. We extend the classical Kermack–McKendrick model, so that a more general contact rate is chosen and a vaccination added. The model is governed by a differential equation (DE) for the time dynamics of the susceptibles, infectives and removals subpopulation. We present some conditions on the existence and uniqueness of a solution to the nonlinear DE. The existence of limits and uniqueness of maximum of infected individuals are also discussed. In the final part, simulations, numerical results and comparisons of the different vaccination strategies are presented.},
author = {Staněk, Jakub},
journal = {Kybernetika},
keywords = {SIR epidemic models; vaccination; differential equation; SIR epidemic models; vaccination},
language = {eng},
number = {5},
pages = {705-714},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Kermack-McKendrick epidemics vaccinated},
url = {http://eudml.org/doc/33958},
volume = {44},
year = {2008},
}
TY - JOUR
AU - Staněk, Jakub
TI - Kermack-McKendrick epidemics vaccinated
JO - Kybernetika
PY - 2008
PB - Institute of Information Theory and Automation AS CR
VL - 44
IS - 5
SP - 705
EP - 714
AB - This paper proposes a deterministic model for the spread of an epidemic. We extend the classical Kermack–McKendrick model, so that a more general contact rate is chosen and a vaccination added. The model is governed by a differential equation (DE) for the time dynamics of the susceptibles, infectives and removals subpopulation. We present some conditions on the existence and uniqueness of a solution to the nonlinear DE. The existence of limits and uniqueness of maximum of infected individuals are also discussed. In the final part, simulations, numerical results and comparisons of the different vaccination strategies are presented.
LA - eng
KW - SIR epidemic models; vaccination; differential equation; SIR epidemic models; vaccination
UR - http://eudml.org/doc/33958
ER -
References
top- Amann H., Ordinary Differential Equations: An Introduction to Nonlinear Analysis, Walter de Gruyter, Berlin – New York 1990 Zbl0708.34002MR1071170
- Bailey N. T. J., The Mathematical Theory of Epidemics, Hafner Publishing Company, New York 1957 MR0095085
- Daley D. J., Gani J., Epidemic Modelling: An Introduction, Cambridge University Press, Cambridge 1999 Zbl0964.92035MR1688203
- Greenwood P., Gordillo L. F., Marion A. S., Martin-Löf A., Bimodal Epidemic Side Distributions for Near-Critical SIR with Vaccination, In preparation
- Kalas J., Pospíšil Z., Spojité modely v biologii (Continuous Models in Biology), Masaryk University, Brno 2001
- Kermack W. O., McKendrick A. G., A contribution to the mathematical theory of epidemics, Proc. Roy. Soc. London A 155 (1927), 700–721 (1927)
- Štěpán J., Hlubinka D., Kermack–McKendrick epidemic model revisited, Kybernetika 43 (2007), 395–414 Zbl1137.37338MR2377919
- Štěpán J., Private communicatio
- Wai-Yuan T., Hulin W., Deterministic and Stochastic Models of AIDS Epidemics and HIV Infections with Intervention, World Scientific, Singapore 2005 MR2169300
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