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Location Models for Preventive Care

In: Applications of Location Analysis

Author

Listed:
  • Vedat Verter

    (McGill University)

  • Yue Zhang

    (University of Toledo)

Abstract

Health conditions are much easier to prevent than to treat, and recovery is often more likely if an illness is diagnosed at an early stage. The substantial savings in the costs of diagnosis and therapy as well as the relatively lower capital investment associated with preventive care programs have been recognized for a long time. Preventive care programs can save lives and contribute to a better quality of life by reducing the needs for radical treatments. For example, there is evidence that mammograms taken on a regular basis have the potential to reduce deaths from breast cancer for women between the ages of 50 and 69 by up to 40 %.

Suggested Citation

  • Vedat Verter & Yue Zhang, 2015. "Location Models for Preventive Care," International Series in Operations Research & Management Science, in: H. A. Eiselt & Vladimir Marianov (ed.), Applications of Location Analysis, edition 1, chapter 9, pages 223-241, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-20282-2_9
    DOI: 10.1007/978-3-319-20282-2_9
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    Cited by:

    1. Kerim Dogan & Mumtaz Karatas & Ertan Yakici, 2020. "A model for locating preventive health care facilities," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 1091-1121, September.
    2. Esma Akgun & Sibel A. Alumur & F. Safa Erenay, 2023. "Determining optimal COVID-19 testing center locations and capacities," Health Care Management Science, Springer, vol. 26(4), pages 748-769, December.

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