Stability analysis of an age-structured epidemic model with vaccination and standard incidence rate

被引:21
作者
Huang, Jicai [1 ]
Kang, Hao [2 ]
Lu, Min [1 ]
Ruan, Shigui [3 ]
Zhuo, Wenting [1 ]
机构
[1] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China
[2] Tianjin Univ, Ctr Appl Math, Tianjin 300072, Peoples R China
[3] Univ Miami, Dept Math, Coral Gables, FL 33146 USA
基金
美国国家科学基金会;
关键词
SEIR epidemic model; Age-structure; Vaccination; Basic reproduction number; Stability; DEVELOPING-COUNTRIES; MATHEMATICAL-THEORY; THRESHOLD; MEASLES; DYNAMICS; IMPACT;
D O I
10.1016/j.nonrwa.2022.103525
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Age structure of the host population is a crucial factor in the transmission and control of infectious diseases, since the risk from an infection increases along with age, different age groups interact heterogeneously, vaccination programs focus on specific age groups, and epidemiological data are reported according to ages. In this paper we consider an age-structured epidemic model of the susceptible-exposed- infectious-recovered (SEIR) type with vaccination and standard incidence rate. After establishing the well-posedness of the initial-boundary value problem, we study the existence and stability of the disease-free and endemic steady states based on the basic reproduction number R-0. It is shown that the disease-free steady state is globally asymptotically stable if R-0 < 1, the endemic steady state is unique if R-0 < 1 and is locally asymptotically stable under some additional conditions. Some numerical simulations are presented to illustrate the theoretical results.(C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:21
相关论文
共 30 条
[1]   AGE-RELATED-CHANGES IN THE RATE OF DISEASE TRANSMISSIONS - IMPLICATIONS FOR THE DESIGN OF VACCINATION PROGRAMS [J].
ANDERSON, RM ;
MAY, RM .
JOURNAL OF HYGIENE, 1985, 94 (03) :365-436
[2]   GLOBAL BEHAVIOR OF AN AGE-STRUCTURED EPIDEMIC MODEL [J].
BUSENBERG, SN ;
IANNELLI, M ;
THIEME, HR .
SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 1991, 22 (04) :1065-1080
[3]   A 'post-honeymoon' measles epidemic in Burundi: mathematical model-based analysis and implications for vaccination timing [J].
Corey, Katelyn C. ;
Noymer, Andrew .
PEERJ, 2016, 4
[4]   Daniel Bernoulli's epidemiological model revisited [J].
Dietz, K ;
Heesterbeek, JAP .
MATHEMATICAL BIOSCIENCES, 2002, 180 :1-21
[5]   A simple model for complex dynamical transitions in epidemics [J].
Earn, DJD ;
Rohani, P ;
Bolker, BM ;
Grenfell, BT .
SCIENCE, 2000, 287 (5453) :667-670
[6]  
GREENHALGH D, 1988, IMA J MATH APPL MED, V5, P81
[8]   EPIDEMIOLOGIC EFFECTS OF VACCINES WITH COMPLEX DIRECT EFFECTS IN AN AGE-STRUCTURED POPULATION [J].
HALLORAN, ME ;
WATELET, L ;
STRUCHINER, CJ .
MATHEMATICAL BIOSCIENCES, 1994, 121 (02) :193-225
[9]   The mathematics of infectious diseases [J].
Hethcote, HW .
SIAM REVIEW, 2000, 42 (04) :599-653
[10]   OPTIMAL AGES OF VACCINATION FOR MEASLES [J].
HETHCOTE, HW .
MATHEMATICAL BIOSCIENCES, 1988, 89 (01) :29-52