IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v93y2014icp52-62.html
   My bibliography  Save this article

The arrested immunity hypothesis in an immunoepidemiological model of Chlamydia transmission

Author

Listed:
  • Vickers, David M.
  • Osgood, Nathaniel D.

Abstract

For curable infectious diseases, public health strategies such as treatment can effectively shorten an individual’s infectious period, and thus limit their role in transmission. However, because treatment effectively eliminates antigen impingement, these types of control strategies may also paradoxically impair the development of adaptive immune responses. For sexually transmitted Chlamydia trachomatis infections, this latter effect has been coined the arrested immunity hypothesis, and is discussed to carry significant epidemiological implications for those individuals who return to similar sexual networks with similar sexual behavior. Here, we examine the effect of antibiotic treatment on the spread of Chlamydia infection through a simple immunoepidemiological framework that characterizes the population as a collection of dynamically evolving individuals in small, paradigmatic networks. Within each individual there is an explicit representation of pathogen replication, accumulation and persistence of an immune response, followed by a gradual waning of that response once the infection is cleared. Individuals are then nested in networks, allowing the variability in the life history of their infection to be functions of both individual immune dynamics as well as their position in the network. Model results suggest that the timing and coverage of treatment are important contributors to the development of immunity and reinfection. In particular, the impact of treatment on the spread of infection between individuals can be beneficial, have no effect, or be deleterious depending on who is treated and when. Although we use sexually transmitted Chlamydia infection as an example, the observed results arise endogenously from a basic model structure, and thus warrant consideration to understanding the interaction of infection, treatment, and spread of other infectious diseases.

Suggested Citation

  • Vickers, David M. & Osgood, Nathaniel D., 2014. "The arrested immunity hypothesis in an immunoepidemiological model of Chlamydia transmission," Theoretical Population Biology, Elsevier, vol. 93(C), pages 52-62.
    • Handle: RePEc:eee:thpobi:v:93:y:2014:i:c:p:52-62
    DOI: 10.1016/j.tpb.2014.01.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580914000148
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tpb.2014.01.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sterman, J.D., 2006. "Learning from evidence in a complex world," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 505-514.
    2. Thomas House & Matt J Keeling, 2010. "The Impact of Contact Tracing in Clustered Populations," PLOS Computational Biology, Public Library of Science, vol. 6(3), pages 1-9, March.
    3. Heffernan, J.M. & Keeling, M.J., 2008. "An in-host model of acute infection: Measles as a case study," Theoretical Population Biology, Elsevier, vol. 73(1), pages 134-147.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sridharan, Sanjeev & Jones, Bobby & Caudill, Barry & Nakaima, April, 2016. "Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 88-97.
    2. Wenjing Luo & Zhi Qiu & Yurika Yokoyama & Shengyuan Zheng, 2022. "Decision-Making Mechanism of Joint Activities for the Elderly and Children in Integrated Welfare Facilities: A Discussion Based on “Motivation–Constraint” Interaction Model," IJERPH, MDPI, vol. 19(16), pages 1-23, August.
    3. repec:mpr:mprres:6558 is not listed on IDEAS
    4. Louise Freebairn & Jo-An Atkinson & Nathaniel D Osgood & Paul M Kelly & Geoff McDonnell & Lucie Rychetnik, 2019. "Turning conceptual systems maps into dynamic simulation models: An Australian case study for diabetes in pregnancy," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-27, June.
    5. Hassmiller Lich, Kristen & Urban, Jennifer Brown & Frerichs, Leah & Dave, Gaurav, 2017. "Extending systems thinking in planning and evaluation using group concept mapping and system dynamics to tackle complex problems," Evaluation and Program Planning, Elsevier, vol. 60(C), pages 254-264.
    6. Boelsen-Robinson, Tara & Blake, Miranda R. & Brown, Andrew D. & Huse, Oliver & Palermo, Claire & George, Neetu A. & Peeters, Anna, 2021. "Mapping factors associated with a successful shift towards healthier food retail in community-based organisations: A systems approach," Food Policy, Elsevier, vol. 101(C).
    7. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    8. David Rees & Janet Stephenson & Debbie Hopkins & Adam Doering, 2017. "Exploring stability and change in transport systems: combining Delphi and system dynamics approaches," Transportation, Springer, vol. 44(4), pages 789-805, July.
    9. Edward J. Garrity, 2011. "System Dynamics Modeling of Individual Transferable Quota Fisheries and Suggestions for Rebuilding Stocks," Sustainability, MDPI, vol. 3(1), pages 1-32, January.
    10. repec:mpr:mprres:6554 is not listed on IDEAS
    11. Jürgen Strohhecker, 2016. "Factors influencing strategy implementation decisions: an evaluation of a balanced scorecard cockpit, intelligence, and knowledge," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(1), pages 89-119, February.
    12. Willis, Cameron David & Corrigan, Crystal & Stockton, Lisa & Greene, Julie Kathryn & Riley, Barbara Lyn, 2017. "Exploring the unanticipated effects of multi-sectoral partnerships in chronic disease prevention," Health Policy, Elsevier, vol. 121(2), pages 158-168.
    13. Sondoss Elsawah & Allen Tim Luen Ho & Michael J. Ryan, 2022. "Teaching Systems Thinking in Higher Education," INFORMS Transactions on Education, INFORMS, vol. 22(2), pages 66-102, January.
    14. Wayne Wakeland & Alexandra Nielsen & Teresa D. Schmidt, 2016. "Gaining Policy Insight with a System Dynamics Model of Pain Medicine Prescribing, Diversion and Abuse," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(3), pages 400-412, May.
    15. Paulo Gonçalves & Paolo Ferrari & Luca Crivelli & Emiliano Albanese, 2023. "Model‐informed health system reorganization during emergencies," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1323-1344, May.
    16. Mahamoud, Aziza & Roche, Brenda & Homer, Jack, 2013. "Modelling the social determinants of health and simulating short-term and long-term intervention impacts for the city of Toronto, Canada," Social Science & Medicine, Elsevier, vol. 93(C), pages 247-255.
    17. Brydie Clarke & Janelle Kwon & Boyd Swinburn & Gary Sacks, 2021. "Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-23, January.
    18. Zhang, J. & Tong, L. & Lamberson, P.J. & Durazo-Arvizu, R.A. & Luke, A. & Shoham, D.A., 2015. "Leveraging social influence to address overweight and obesity using agent-based models: The role of adolescent social networks," Social Science & Medicine, Elsevier, vol. 125(C), pages 203-213.
    19. Ivana Stankov & Natasha J. Howard & Mark Daniel & Margaret Cargo, 2017. "Policy, Research and Residents’ Perspectives on Built Environments Implicated in Heart Disease: A Concept Mapping Approach," IJERPH, MDPI, vol. 14(2), pages 1-17, February.
    20. Daniel Heard & Georgiy V Bobashev & Robert J Morris, 2014. "Reducing the Complexity of an Agent-Based Local Heroin Market Model," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
    21. Margaret B. Hargreaves, 2010. "Evaluating System Change: A Planning Guide," Mathematica Policy Research Reports c0adec4cd1984ff1b2b29ebab, Mathematica Policy Research.
    22. Anne van Bruggen & Igor Nikolic & Jan Kwakkel, 2019. "Modeling with Stakeholders for Transformative Change," Sustainability, MDPI, vol. 11(3), pages 1-21, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:93:y:2014:i:c:p:52-62. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.