IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v428y2015icp52-59.html
   My bibliography  Save this article

An agent-based computational model for tuberculosis spreading on age-structured populations

Author

Listed:
  • Graciani Rodrigues, C.C.
  • Espíndola, Aquino L.
  • Penna, T.J.P.

Abstract

In this work we present an agent-based computational model to study the spreading of the tuberculosis (TB) disease on age-structured populations. The model proposed is a merge of two previous models: an agent-based computational model for the spreading of tuberculosis and a bit-string model for biological aging. The combination of TB with the population aging, reproduces the coexistence of health states, as seen in real populations. In addition, the universal exponential behavior of mortalities curves is still preserved. Finally, the population distribution as function of age shows the prevalence of TB mostly in elders, for high efficacy treatments.

Suggested Citation

  • Graciani Rodrigues, C.C. & Espíndola, Aquino L. & Penna, T.J.P., 2015. "An agent-based computational model for tuberculosis spreading on age-structured populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 52-59.
    • Handle: RePEc:eee:phsmap:v:428:y:2015:i:c:p:52-59
    DOI: 10.1016/j.physa.2015.02.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437115001296
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2015.02.027?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. Ellen Brooks-Pollock & Ted Cohen & Megan Murray, 2010. "The Impact of Realistic Age Structure in Simple Models of Tuberculosis Transmission," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-6, January.
    2. Almeida, R.M.C.de & Oliveira, S.Moss de & Penna, T.J.P., 1998. "Theoretical approach to biological aging," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 253(1), pages 366-378.
    3. dos Santos, R.V.R. & Martins, S.G.F. & Pompeu, P.S., 2012. "An individual-based model for evolutionary effects of selective fishing applied to Pseudoplatystoma corruscans," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5112-5120.
    4. de Oliveira, A.C.S. & Martins, S.G.F. & Zacarias, M.S., 2008. "Computer simulation of the coffee leaf miner using sexual Penna aging model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 476-484.
    5. S. G. F. Martins & T. J. P. Penna, 1998. "Computer Simulation of Sexual Selection on Age-Structured Populations," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 491-496.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. da Rocha, Arthur M. & Espíndola, Aquino L. & Penna, T.J.P., 2020. "Mortality curves using a bit-string aging model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).

    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. de Oliveira, A.C.S. & Martins, S.G.F. & Zacarias, M.S., 2013. "An individual-based model for the interaction of the mite Tetranychus urticae (Koch, 1836) with its predator Neoseiulus californicus (McGregor, 1954) (Acari: Tetranychidae, Phytoseiidae)," Ecological Modelling, Elsevier, vol. 255(C), pages 11-20.
    2. Richard Pitman & David Fisman & Gregory S. Zaric & Maarten Postma & Mirjam Kretzschmar & John Edmunds & Marc Brisson, 2012. "Dynamic Transmission Modeling," Medical Decision Making, , vol. 32(5), pages 712-721, September.
    3. Chu-Chang Ku & Peter J Dodd, 2019. "Forecasting the impact of population ageing on tuberculosis incidence," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-13, September.
    4. Keesen, Fabíola & Castro e Silva, Alcides & Pinheiro, Carlos Felipe S. & Arashiro, Everaldo & Ligeiro, Yan & Grelle, Carlos Eduardo de Viveiros, 2023. "New applications of an old individual-based model for biological dynamics," Ecological Modelling, Elsevier, vol. 476(C).
    5. da Rocha, Arthur M. & Espíndola, Aquino L. & Penna, T.J.P., 2020. "Mortality curves using a bit-string aging model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    6. Md Abdul Kuddus & Michael T Meehan & Lisa J White & Emma S McBryde & Adeshina I Adekunle, 2020. "Modeling drug-resistant tuberculosis amplification rates and intervention strategies in Bangladesh," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-26, July.
    7. Al-arydah, Mo’tassem & Smith̏, Robert, 2011. "An age-structured model of human papillomavirus vaccination," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(4), pages 629-652.
    8. Madhu, Kalyanasundaram & Al-arydah, Mo’tassem, 2021. "Optimal vaccine for human papillomavirus and age-difference between partners," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 185(C), pages 325-346.
    9. Chung‐Min Liao & Yi‐Hsien Cheng & Yi‐Jun Lin & Nan‐Hung Hsieh & Tang‐Luen Huang & Chia‐Pin Chio & Szu‐Chieh Chen & Min‐Pei Ling, 2012. "A Probabilistic Transmission and Population Dynamic Model to Assess Tuberculosis Infection Risk," Risk Analysis, John Wiley & Sons, vol. 32(8), pages 1420-1432, August.
    10. Baggio, Rafael A. & Araujo, Sabrina B.L. & Ayllón, Daniel & Boeger, Walter A., 2018. "Dams cause genetic homogenization in populations of fish that present homing behavior: Evidence from a demogenetic individual-based model," Ecological Modelling, Elsevier, vol. 384(C), pages 209-220.
    11. Keesen, F. & Castro e Silva, A. & Arashiro, E. & Pinheiro, C.F.S., 2017. "Simulations of populations of Sapajus robustus in a fragmented landscape," Ecological Modelling, Elsevier, vol. 344(C), pages 38-47.
    12. de Souza, A.A. & Martins, S.G.F. & Zacarias, M.S., 2009. "Computer simulation applied to the biological control of the insect Aphis gossypii for the parasitoid Lysiphlebus testaceipes," Ecological Modelling, Elsevier, vol. 220(6), pages 756-763.

    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:phsmap:v:428:y:2015:i:c:p:52-59. 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: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.