Growth rates in epidemic models: Application to a model for HIV/AIDS progression

被引:21
|
作者
Gran, Jon Michael [1 ]
Wasmuth, Linn [1 ]
Amundsen, Ellen J. [2 ]
Lindqvist, Bo H. [3 ]
Aalen, Odd O. [1 ]
机构
[1] Univ Oslo, Inst Basic Med Sci, Dept Biostat, N-0317 Oslo, Norway
[2] SIRUS, Norwegian Inst Alcohol & Drug Res, N-0105 Oslo, Norway
[3] Norwegian Univ Sci & Technol, Dept Math Sci, N-7491 Trondheim, Norway
关键词
infectious disease modelling; basic reproduction number; intrinsic growth rate; epidemic growth rate; SIR model; HIV infection;
D O I
10.1002/sim.3219
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The most common quantity used to describe the growth of an epidemic when modelling infectious diseases is the basic reproduction number R-0. While R0 is most appropriate for epidemics with short-lasting infections, long-lasting infections such as HIV/AIDS may call for the use of growth rates with other properties. For a group of multi-state compartment models we define both R0, the actual reproduction number R-a(t), and the intrinsic growth rate r. We study the relationship between these different reproduction numbers and growth rates and take a brief look at how they could be estimated from actual observed data. The work is illustrated by a model for HIV/AIDS progression among homosexual men in England and Wales. We conclude that other measures of growth, in addition to R0, give important supplementary information. Copyright (C) 2008 John Wiley & Sons, Ltd.
引用
收藏
页码:4819 / 4836
页数:18
相关论文
共 50 条
  • [31] Modeling the Impact of International Travellers on the Trend of the HIV/AIDS Epidemic
    Apenteng, Ofosuhene Okofrobour
    Ismail, Noor Azina
    TRANSACTIONS ON ENGINEERING TECHNOLOGIES, 2015, : 381 - 389
  • [32] HIV/AIDS Acquisition and Transmission in Bangladesh: Turning to the Concentrated Epidemic
    Mondal, Md. Nazrul Islam
    Takaku, Hiroshi
    Ohkusa, Yasushi
    Sugawara, Tamie
    Okabe, Nobuhiko
    JAPANESE JOURNAL OF INFECTIOUS DISEASES, 2009, 62 (02) : 111 - 119
  • [33] Social Epidemiology in HIV/AIDS: What Else Should We Consider to Prevent the HIV/AIDS Progression?
    Gimenez Rodriguez, Silvia
    Morillo Velazquez, Juan Manuel
    SOCIAL WORK IN PUBLIC HEALTH, 2017, 32 (08) : 489 - 499
  • [34] EPIDEMIC MODELS WITH DIFFERENTIAL SUSCEPTIBILITY AND STAGED PROGRESSION AND THEIR DYNAMICS
    Hyman, James M.
    Li, Jia
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2009, 6 (02) : 321 - 332
  • [35] Application of epidemic models to phase transitions
    Bilge, A. H.
    Pekcan, O.
    Gurol, M. V.
    PHASE TRANSITIONS, 2012, 85 (11) : 1009 - 1017
  • [36] The Numerical Approximation to a Stochastic Age-Structured HIV/AIDS Model with Nonlinear Incidence Rates
    Ren, Jie
    Yuan, Huaimin
    Zhang, Qimin
    COMPUTATIONAL METHODS IN APPLIED MATHEMATICS, 2022, 22 (03) : 685 - 712
  • [37] Predicting the HIV/AIDS epidemic and measuring the effect of mobility in mainland China
    Xiao, Yanni
    Tang, Sanyi
    Zhou, Yicang
    Smith, Robert J.
    Wu, Jianhong
    Wang, Ning
    JOURNAL OF THEORETICAL BIOLOGY, 2013, 317 : 271 - 285
  • [38] An overview of the history of epidemic of and response to HIV/AIDS in China: achievements and challenges
    Cui Yan
    Liau, Adrian
    Wu Zun-you
    CHINESE MEDICAL JOURNAL, 2009, 122 (19) : 2251 - 2257
  • [39] Plague Doctors in the HIV/AIDS Epidemic: Mental Health Professionals and the "San Francisco Model," 1981-1990
    Blair, Thomas R.
    BULLETIN OF THE HISTORY OF MEDICINE, 2016, 90 (02) : 279 - 311
  • [40] Modelling HIV/AIDS epidemiological complexity: A scoping review of Agent-Based Models and their application
    Anderle, Rodrigo Volmir
    de Oliveira, Robson Bruniera
    Rubio, Felipe Alves
    Macinko, James
    Dourado, Ines
    Rasella, Davide
    PLOS ONE, 2024, 19 (02):