How population heterogeneity in susceptibility and infectivity influences epidemic dynamics

被引:25
|
作者
Hickson, R. I. [1 ]
Roberts, M. G. [2 ,3 ]
机构
[1] Univ Newcastle, Sch Math & Phys Sci, Callaghan, NSW 2308, Australia
[2] Massey Univ, New Zealand Inst Adv Study, Inst Nat & Math Sci, North Shore Mail Ctr, Auckland, New Zealand
[3] Massey Univ, Infect Dis Res Ctr, North Shore Mail Ctr, Auckland, New Zealand
关键词
Infectious diseases; Heterogeneous population; Final size; Epidemic; Vaccination; DIFFERENTIAL SUSCEPTIBILITY; HOST HETEROGENEITY; MODELS; TRANSMISSION; RATIO;
D O I
10.1016/j.jtbi.2014.01.014
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
An important concern in public health is what population group should be prioritised for vaccination. To this end, we present an epidemic model with arbitrary initial distributions for population susceptibility, and corresponding infectivity distributions. We consider four scenarios: first, a population with heterogeneous susceptibility with a uniform distribution, but homogeneous infectivity; second, a heterogeneously susceptible population with linear heterogeneous infectivity functions, where the most susceptible are either the most or least infectious; third, a bimodal distribution for susceptibility, with all combinations of infectivity functions; finally, we consider the effects of additional pre-epidemic immunity, ostensibly through vaccination, on the epidemic dynamics. For a seasonal influenza-like infectious disease, we find the smallest final size and overall number of deaths due to the epidemic to occur if the most susceptible are vaccinated, corresponding to targeting children. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:70 / 80
页数:11
相关论文
共 50 条
  • [21] Heterogeneity matters: Contact structure and individual variation shape epidemic dynamics
    Grossmann, Gerrit
    Backenkoehler, Michael
    Wolf, Verena
    PLOS ONE, 2021, 16 (07):
  • [22] Vaccine Effects on Heterogeneity in Susceptibility and Implications for Population Health Management
    Langwig, Kate E.
    Wargo, Andrew R.
    Jones, Darbi R.
    Viss, Jessie R.
    Rutan, Barbara J.
    Egan, Nicholas A.
    Sa-Guimaraes, Pedro
    Kim, Min Sun
    Kurath, Gael
    Gomes, M. Gabriela M.
    Lipsitch, Marc
    MBIO, 2017, 8 (06):
  • [23] Dynamics and density function of a stochastic differential infectivity epidemic model with Ornstein-Uhlenbeck process
    Shi, Zhenfeng
    Jiang, Daqing
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2023, 46 (05) : 6245 - 6261
  • [24] Epidemic dynamics with a time-varying susceptibility due to repeated infections
    Nakata, Yukihiko
    Omori, Ryosuke
    JOURNAL OF BIOLOGICAL DYNAMICS, 2019, 13 (01) : 567 - 585
  • [25] Inferring population-level contact heterogeneity from common epidemic data
    Stack, J. Conrad
    Bansal, Shweta
    Kumar, V. S. Anil
    Grenfell, Bryan
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2013, 10 (78)
  • [26] Non-linearity and heterogeneity in modeling of population dynamics
    Karev, Georgy P.
    MATHEMATICAL BIOSCIENCES, 2014, 258 : 85 - 92
  • [27] The impact of individual heterogeneity on the coupled awareness-epidemic dynamics in multiplex networks
    Pan, Yaohui
    Yan, Zhijun
    CHAOS, 2018, 28 (06)
  • [28] Severe population collapses and species extinctions in multihost epidemic dynamics
    Maslov, Sergei
    Sneppen, Kim
    PHYSICAL REVIEW E, 2017, 96 (02)
  • [29] Beyond connectivity: how the structure of dispersal influences metacommunity dynamics
    Hayes, Sean M.
    Anderson, Kurt E.
    THEORETICAL ECOLOGY, 2018, 11 (02) : 151 - 159
  • [30] A stochastic epidemic model for the dynamics of two pathogens in a single tick population
    Maliyoni, Milliward
    Chirove, Faraimunashe
    Gaff, Holly D.
    Govinder, Keshlan S.
    THEORETICAL POPULATION BIOLOGY, 2019, 127 : 75 - 90