IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-031-28870-8_15.html
   My bibliography  Save this book chapter

Modeling Vaccine Allocations in Rural Areas in Central Regions from Colombia

In: Operations Research and Analytics in Latin America

Author

Listed:
  • Sthefania Ardila Benitez

    (Universidad de La Sabana)

  • Ana Carolina García Hoyos

    (Universidad de La Sabana)

  • María Paula Losada Porras

    (Universidad de La Sabana)

  • Alejandra Milena Castellanos Guarnizo

    (Universidad de La Sabana)

  • Gonzalo Mejía

    (Universidad de La Sabana)

Abstract

This paper addresses the problem of vaccination and distribution that has brought COVID-19 in rural areas from Colombia. Locations far from main cities are the last considered on vaccines supply taking into account the distance and the access. There have been territories where vaccines took to arrive more than 40 days, making it hard for inhabitants from these regions to protect themselves on time from the pandemic. With this in mind, mass vaccination programs are needed in order to get to each region and guarantee the demand coverage. For this reason, it was decided to plan the location and distribution of vaccines to 200 potential sites in five different departments in Colombia, by means of a linear model developed in GAMS software, taking into account demand parameters, costs and transportation distances in order to obtain information to define vaccination points with their coverage areas and the amount of vaccines sent to each site, considering the main percentage of vaccination according to the population of each department in order to supply a large part of it, prioritizing people who do not have any dose and to those whose health condition requires it. This paper proposes a mathematical model based on demand satisfaction, distances, and capacity to select potential vaccination centers. In this document, first, the state of art is presented regarding the different approaches that have been developed to address this problematic. Second, an explanation of the problematic is provided choosing five regions in Colombia, especially rural areas where access to vaccination is limited. Third, the parameters used like distance, costs of transportation and operational costs for each vaccine, quantity of demand, vaccination capacity, and development of the model considering the objective function and constraints is explained. Fourth, a MILP optimization model approach is considered, and the results are analyzed. Finally, conclusions are provided as well as future research. With the results of the model, a possible solution is obtained suggesting that a total of 101 potential vaccine sites are required to satisfy the demand in the regions contemplated.

Suggested Citation

  • Sthefania Ardila Benitez & Ana Carolina García Hoyos & María Paula Losada Porras & Alejandra Milena Castellanos Guarnizo & Gonzalo Mejía, 2023. "Modeling Vaccine Allocations in Rural Areas in Central Regions from Colombia," Lecture Notes in Operations Research, in: Jairo R. Montoya-Torres & William J. Guerrero & David L. Cortés-Murcia (ed.), Operations Research and Analytics in Latin America, pages 179-190, Springer.
  • Handle: RePEc:spr:lnopch:978-3-031-28870-8_15
    DOI: 10.1007/978-3-031-28870-8_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-3-031-28870-8_15. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.