IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/55500.html
   My bibliography  Save this paper

Quantitative Evaluation of Prevention Strategies in Public Health

Author

Listed:
  • Schinaia, Giuseppe
  • Parisi, Valentino

Abstract

Various schemes of prevention measures in public health are developed and analyzed on the basis of a general mathematical model. Features related to cost issues, including primary and secondary prevention interventions, differential survival experiences and communicable diseases are in turn used to show the potentialities of the theoretical framework. A numerical application is presented with reference to Italian cancer data.

Suggested Citation

  • Schinaia, Giuseppe & Parisi, Valentino, 2014. "Quantitative Evaluation of Prevention Strategies in Public Health," MPRA Paper 55500, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:55500
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/55500/1/MPRA_paper_55500.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Davies, Ruth & Roderick, Paul & Raftery, James, 2003. "The evaluation of disease prevention and treatment using simulation models," European Journal of Operational Research, Elsevier, vol. 150(1), pages 53-66, October.
    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. Olivier Ethgen & Baudouin Standaert, 2012. "Population–versus Cohort–Based Modelling Approaches," PharmacoEconomics, Springer, vol. 30(3), pages 171-181, March.
    2. Alan Brennan & Stephen E. Chick & Ruth Davies, 2006. "A taxonomy of model structures for economic evaluation of health technologies," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1295-1310, December.
    3. K Cooper & S C Brailsford & R Davies, 2007. "Choice of modelling technique for evaluating health care interventions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 168-176, February.
    4. Anthony O'Hagan & Matt Stevenson & Jason Madan, 2007. "Monte Carlo probabilistic sensitivity analysis for patient level simulation models: efficient estimation of mean and variance using ANOVA," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1009-1023, October.
    5. K. Cooper & S. Brailsford & R. Davies & J. Raftery, 2006. "A review of health care models for coronary heart disease interventions," Health Care Management Science, Springer, vol. 9(4), pages 311-324, November.
    6. S Robinson, 2008. "Conceptual modelling for simulation Part I: definition and requirements," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 278-290, March.
    7. Morgan, Jennifer Sian & Howick, Susan & Belton, Valerie, 2017. "A toolkit of designs for mixing Discrete Event Simulation and System Dynamics," European Journal of Operational Research, Elsevier, vol. 257(3), pages 907-918.
    8. Koen W. de Bock & Kristof Coussement & Arno De Caigny & Roman Slowiński & Bart Baesens & Robert N Boute & Tsan-Ming Choi & Dursun Delen & Mathias Kraus & Stefan Lessmann & Sebastián Maldonado & David , 2023. "Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda," Post-Print hal-04219546, HAL.
    9. Ruth Davies & David Bensley, 2005. "Editorial," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 123-125, February.
    10. Cannon, Jeffrey W. & Mueller, Ute A. & Hornbuckle, Janet & Larson, Ann & Simmer, Karen & Newnham, John P. & Doherty, Dorota A., 2013. "Economic implications of poor access to antenatal care in rural and remote Western Australian Aboriginal communities: An individual sampling model of pregnancy," European Journal of Operational Research, Elsevier, vol. 226(2), pages 313-324.
    11. Anthony O'Hagan & Matt Stevenson & Jason Madan, 2007. "Monte Carlo probabilistic sensitivity analysis for patient level simulation models: efficient estimation of mean and variance using ANOVA," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1009-1023.
    12. M D Stevenson & J E Oakley & S E Chick & K Chalkidou, 2009. "The cost-effectiveness of surgical instrument management policies to reduce the risk of vCJD transmission to humans," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(4), pages 506-518, April.

    More about this item

    Keywords

    Mathematical Modelling; Health Prevention Measures; Cost Analysis;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • H89 - Public Economics - - Miscellaneous Issues - - - Other
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:55500. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.