Skip to main content

Advertisement

Log in

Analysis of Age-Structured Pertussis Models with Multiple Infections During a Lifetime

  • Published:
Journal of Dynamics and Differential Equations Aims and scope Submit manuscript

Abstract

One of the unique features of bacterial diseases such as pertussis is the possibility of multiple infections during a lifetime. Immunity gained after each infection may play an important role in disease transmission dynamics. A PDE model with two infections for pertussis was considered in Feng et al. (J Theor Biol 356:123–132, 2014) and applied to the Swedish population to estimate the age-dependent probability of infection on contact. However, no detailed analysis of the dynamic properties of the model was considered in that study. Here we present the analysis including existence and stability of equilibrium solutions, which are shown to be determined by the effective (or basic) reproduction number \({\mathcal {R}}\) (or \({\mathcal {R}}_0\)). We also extend the model in Feng et al.  (2014) to allow three infections during a lifetime. And we derive the age-specific probability of infection during a lifetime, denoted by F(a), using two approaches: one uses the model solutions, and the other one is based on biological interpretations. Numerical explorations of the model suggest that, with reasonable assumptions, two infections are all that one needs to consider to account for the dynamics of this disease. This increases the importance of the analytic results from the 2-infection model. Nonetheless, the formula for F(a) in the 3-infection model may provide more accurate description for the probability of infection because it permits more realistic distributions for waiting times in disease stages.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Ad hoc group for the study of pertussis vaccines, Placebo-controlled trial of two acellular pertussis vaccines in Sweden–protective efficacy and adverse events. Lancet 1, 955–960 (1988)

  2. Busenberg, S.N., Van den Driessche, P.: Analysis of a disease transmission model in a population with varying size. J. Math. Biol. 28, 1065–1080 (1990)

    Article  MathSciNet  Google Scholar 

  3. Saylers, A.A., Whitt, D.D.: Bacterial Pathogenesis: A Molecular Approach. ASM, Washington, DC (1994)

    Google Scholar 

  4. Castillo-Chavez, C., Feng, Z.: Global stability of an age-structured model for TB and its applications to optimal vaccination strategies. Math. Biosci. 151, 135–154 (1998)

    Article  Google Scholar 

  5. Castillo Chavez, C., Hethcote, H.W., Andreasen, V., Levin, S.A., Liu, W.M.: Epidemiological models with age-structure, proportionate mixing, and cross-immunity. J. Math. Biol. 27(3), 233–258 (1989)

    Article  MathSciNet  Google Scholar 

  6. Farrington, C.P.: Modeling risks of infection for measles mumps and rubella. Stat. Med. 9, 953–967 (1990)

    Article  Google Scholar 

  7. Feng, Z., Glasser, J.W., Hill, A.N., Frankoc, M.A., et al.: Modeling rates of infection with transient maternal antibodies and waning active immunity: application to Bordetella pertussis in Sweden. J. Theor. Biol. 356, 123–132 (2014)

    Article  Google Scholar 

  8. Feng, Z., Han, Q., Qiu, Z., Hill, A.N., Glasser, J.W.: Computation of \({\cal{R}}\) in age-structured epidemiological models with maternal and temporary immunity. Discrete Cont. Dyn, Sys. B 21(2), 399–415 (2016)

    Article  MathSciNet  Google Scholar 

  9. Feng, Z., Xu, D., Zhao, H.: Epidemiological models with non-exponentially distributed disease stages and applications to disease control. Bull. Math. Biol. 69, 1511–36 (2007)

    Article  MathSciNet  Google Scholar 

  10. Feng, Z., Zheng, Y., Hernandez-Ceron, N., Zhao, H., Glasser, J.W.: Mathematical models of Ebola-Consequences of underlying assumptions. Math. Biosci. 277, 89–107 (2016)

    Article  MathSciNet  Google Scholar 

  11. Glasser, J.W., Feng, Z., Moylan, A., Del Valled, S., Castillo-Chavez, C.: Mixing in age-structured population models of infectious diseases. Math. Biosci. 235, 1–7 (2012)

    Article  MathSciNet  Google Scholar 

  12. Hethcote, H.W.: An immunization model for a heterogeneous population. Theor. Pop. Biol. 14(3), 338–349 (1979)

    Article  MathSciNet  Google Scholar 

  13. Hethcote, H.W.: Modeling Heterogeneous Mixing in Infectious Diseases Dynamics, In Models for Infectious Human Diseases, pp. 215–238. Cambridge University Press, Cambridge, UK (1996)

    MATH  Google Scholar 

  14. Hethcote, H.W.: The mathematics of infectious diseases. SIAM Rev. 42, 599–653 (2000)

    Article  MathSciNet  Google Scholar 

  15. Kretzschmar, M., Teunis, P.F.M., Pebody, R.G.: Incidence and reproduction numbers of pertussis: estimates from serological and social contact data in five European countries. PLoS Med. 7, e1000291 (2010)

    Article  Google Scholar 

  16. Inaba, H.: Threshold and stability results for an age-structured epidemic model. J. Math. Biol. 28, 411–434 (1990)

    Article  MathSciNet  Google Scholar 

  17. Jong, M.C., Diekmann, O., Heesterbeek, J.A.P.: How does transmission of infection depend on population size? Atmos. Chem. Phys. 12(2), 4719–4754 (1994)

    MATH  Google Scholar 

  18. Mena-Lorca, J., Hethcote, H.W.: Dynamic models of infectious diseases as regulators of population sizes. J. Math. Biol. 30, 693–716 (1992)

    MathSciNet  MATH  Google Scholar 

  19. Reichman, L.B., Hershfield, E.S.: Tuberculosis: Acomprehensive International Approach. Marcel Dekker, New York (1993)

    Google Scholar 

  20. Rouderfed, V., Becker, N., Hethcote, H.W.: Waning immunity and its effects on vaccination schedules. Math. Biosci. 124, 59–82 (1994)

    Article  Google Scholar 

  21. Wang, X., Shi, Y., Feng, Z., Cui, J.: Evaluations of interventions using mathematical models with exponential and non-exponential distributions for disease stages: the case of ebola. B. Math. Biol. 79(9), 2149–2173 (2017)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

We thank the Reviewer for careful reading of the manuscript and for many helpful comments that have improved the presentation of the paper. The research is partially supported by the Natural Science Foundation of China (11371048 and 11701026), the BUCEA Post Graduate Teaching Quality Improvement Project (J2017008), the BUCEA Post Graduate Innovation Project (PG2017031), and the BUCEA Basic Research Operating Costs for 2018 Projects (ZC05, FZ03).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Jingan Cui or Zhilan Feng.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, X., Shi, Y., Cui, J. et al. Analysis of Age-Structured Pertussis Models with Multiple Infections During a Lifetime. J Dyn Diff Equat 31, 2145–2163 (2019). https://doi.org/10.1007/s10884-018-9680-0

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10884-018-9680-0

Keywords

Navigation