A numerical investigation of discrete oscillating epidemic models
D’Innocenzo, A.,
F. Paladini and
L. Renna
Physica A: Statistical Mechanics and its Applications, 2006, vol. 364, issue C, 497-512
Abstract:
Two discrete-time deterministic epidemic models are analysed numerically in order to determine their properties and evolutions. One of the models is formulated as discrete-time approximation of a corresponding continuous-time model. Restrictive assumptions are made on the parameters of the models, in order to guarantee that the transitions are determined by true probabilities, so that comparisons with stochastic discrete-time previsions can be also provided. The conditions that lead to periodicity in the infectious disease are investigated. It is found that the epidemic oscillates when a small fraction of individuals became not permanently immunised. Smaller the probability that a recovered becomes susceptible, generally larger the period of the oscillations in the infected population.
Keywords: Population dynamics; Epidemic; Discrete-time (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437105008927
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:364:y:2006:i:c:p:497-512
DOI: 10.1016/j.physa.2005.08.063
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().