Information-related changes in contact patterns may trigger oscillations in the endemic prevalence of infectious diseases

被引:114
作者
d'Onofrio, Alberto [1 ]
Manfredi, Piero [2 ]
机构
[1] European Inst Oncol, Div Epidemiol & Biostat, I-20141 Milan, Italy
[2] Univ Pisa, Dipartimento Stat & Matemat Applicata Econ, I-5612 Pisa, Italy
关键词
Behavior; Hopf bifurcations; Force of infection; SIR models; EPIDEMIC MODEL; SEXUAL-BEHAVIOR; DYNAMICS; MEASLES; BIFURCATIONS; STABILITY; THRESHOLD; LATENT;
D O I
10.1016/j.jtbi.2008.10.005
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
It is well known that behavioral changes in contact patterns may significantly affect the spread of an epidemic outbreak. Here we focus on simple endemic models for recurrent epidemics, by modelling the social contact rate as a function of the available information on the present and the past disease prevalence. We show that social behavior change alone may trigger sustained oscillations. This indicates that human behavior might be a critical explaining factor of oscillations in time-series of endemic diseases. Finally, we briefly show how the inclusion of seasonal variations in contacts may imply chaos. (c) 2008 Elsevier Ltd. All rights reserved.
引用
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页码:473 / 478
页数:6
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