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Immuno-epidemiological model of two-stage epidemic growth
被引:15
作者:
Banerjee, Malay
[1
]
Tokarev, Alexey
[2
]
Volpert, Vitaly
[2
,3
,4
]
机构:
[1] IIT Kanpur, Dept Math & Stat, Kanpur 208016, Uttar Pradesh, India
[2] Peoples Friendship Univ Russia RUDN Univ, 6 Miklukho Maklaya St, Moscow 117198, Russia
[3] Univ Lyon 1, Inst Camille Jordan, CNRS, UMR 5208, F-69622 Villeurbanne, France
[4] INRIA Lyon La Doua, INRIA Team Dracula, F-69603 Villeurbanne, France
关键词:
Epidemic;
immune response;
over-exponential growth;
influenza;
COVID-19;
DYNAMICS;
D O I:
10.1051/mmnp/2020012
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Epidemiological data on seasonal influenza show that the growth rate of the number of infected individuals can increase passing from one exponential growth rate to another one with a larger exponent. Such behavior is not described by conventional epidemiological models. In this work an immuno-epidemiological model is proposed in order to describe this two-stage growth. It takes into account that the growth in the number of infected individuals increases the initial viral load and provides a passage from the first stage of epidemic where only people with weak immune response are infected to the second stage where people with strong immune response are also infected. This scenario may be viewed as an increase of the effective number of susceptible increasing the effective growth rate of infected.
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页数:11
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