TY - JOUR
T1 - Global stability of infectious disease models with contact rate as a function of prevalence index
AU - Vargas-De-León, Cruz
AU - D'Onofrio, Alberto
PY - 2017/8
Y1 - 2017/8
N2 - In this paper, we consider a SEIR epidemiological model with information{related changes in contact patterns. One of the main features of the model is that it includes an information variable, a negative feedback on the behavior of susceptible subjects, and a function that describes the role played by the infectious size in the information dynamics. Here we focus in the case of delayed information. By using suitable assumptions, we analyze the global stability of the endemic equilibrium point and disease{free equilibrium point. Our approach is applicable to global stability of the endemic equilibrium of the previously defined SIR and SIS models with feedback on behavior of susceptible subjects.
AB - In this paper, we consider a SEIR epidemiological model with information{related changes in contact patterns. One of the main features of the model is that it includes an information variable, a negative feedback on the behavior of susceptible subjects, and a function that describes the role played by the infectious size in the information dynamics. Here we focus in the case of delayed information. By using suitable assumptions, we analyze the global stability of the endemic equilibrium point and disease{free equilibrium point. Our approach is applicable to global stability of the endemic equilibrium of the previously defined SIR and SIS models with feedback on behavior of susceptible subjects.
KW - Behavioral epidemiology
KW - Global stability
KW - Information variable
KW - Lyapunov function
KW - Negative feedback
UR - http://www.scopus.com/inward/record.url?scp=85018712634&partnerID=8YFLogxK
U2 - 10.3934/mbe.2017053
DO - 10.3934/mbe.2017053
M3 - Artículo
C2 - 28608708
SN - 1547-1063
VL - 14
SP - 1019
EP - 1033
JO - Mathematical Biosciences and Engineering
JF - Mathematical Biosciences and Engineering
IS - 4
ER -