IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i16p9959-d886741.html
   My bibliography  Save this article

Designing Mobile Epidemic Prevention Medical Stations for the COVID-19 Pandemic and International Medical Aid

Author

Listed:
  • Mi-Zuo Gao

    (Institute of Medicine, Chung Shan Medical University, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung City 40201, Taiwan)

  • Ying-Hsiang Chou

    (Radiotherapy, Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University Hospital, Chung Shan Medical University, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung City 40201, Taiwan)

  • Yan-Zin Chang

    (Institute of Medicine, Chung Shan Medical University, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung City 40201, Taiwan)

  • Jar-Yuan Pai

    (Department of Health Policy and Management, Chung Shan Medical University Hospital, Chung Shan Medical University, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung City 40202, Taiwan)

  • Henry Bair

    (Byers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, 450 Jane Stanford Way, Stanford, CA 94305, USA)

  • Sharon Pai

    (Department of Health Science, University of Washington, 4218 Roosevelt Way, Seattle, WA 98105, USA)

  • Nai-Chi Yu

    (Department of Health Policy and Management, Chung Shan Medical University Hospital, Chung Shan Medical University, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung City 40202, Taiwan)

Abstract

The demand for mobile epidemic prevention medical stations originated from the rapid spread of the COVID-19 pandemic. In order to reduce the infection risk of medical practitioners and provide flexible medical facilities in response to the variable needs of the pandemic, this research aimed to design mobile medical stations for COVID-19 epidemic prevention, the emergence of which began in February 2020. The mobile medical stations include a negative pressure isolation ward, a positive pressure swabbing station, a fever clinic and a laboratory. In Taiwan, many medical institutions used the mobile swabbing station design of this study to practice COVID-19 screening pre-tests. Internationally, this study assisted Palau in setting up medical stations to provide anti-epidemic goods and materials. The design of this study not only provides a highly flexible and safe medical environment but the benefits of screening can also be used as resources for medical research, forming an economic circulation for operation sustainability. In addition, the design of this study can also be used during the non-epidemic period as a healthcare station for rural areas or as a long-term community medical station.

Suggested Citation

  • Mi-Zuo Gao & Ying-Hsiang Chou & Yan-Zin Chang & Jar-Yuan Pai & Henry Bair & Sharon Pai & Nai-Chi Yu, 2022. "Designing Mobile Epidemic Prevention Medical Stations for the COVID-19 Pandemic and International Medical Aid," IJERPH, MDPI, vol. 19(16), pages 1-12, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:9959-:d:886741
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/16/9959/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/16/9959/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Doerner, Karl & Focke, Axel & Gutjahr, Walter J., 2007. "Multicriteria tour planning for mobile healthcare facilities in a developing country," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1078-1096, June.
    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. De Boeck, Kim & Decouttere, Catherine & Jónasson, Jónas Oddur & Vandaele, Nico, 2022. "Vaccine supply chains in resource-limited settings: Mitigating the impact of rainy season disruptions," European Journal of Operational Research, Elsevier, vol. 301(1), pages 300-317.
    2. Hamid Mousavi & Soroush Avakh Darestani & Parham Azimi, 2021. "An artificial neural network based mathematical model for a stochastic health care facility location problem," Health Care Management Science, Springer, vol. 24(3), pages 499-514, September.
    3. de la Torre, Luis E. & Dolinskaya, Irina S. & Smilowitz, Karen R., 2012. "Disaster relief routing: Integrating research and practice," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 88-97.
    4. Chong Hyun Park & Gemma Berenguer, 2020. "Supply Constrained Location‐Distribution in Not‐for‐Profit Settings," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2461-2483, November.
    5. Joaquín Pacheco & Rafael Caballero & Manuel Laguna & Julián Molina, 2013. "Bi-Objective Bus Routing: An Application to School Buses in Rural Areas," Transportation Science, INFORMS, vol. 47(3), pages 397-411, August.
    6. Ibarra-Rojas, O.J. & Ozuna, L. & López-Piñón, D., 2020. "The maximal covering location problem with accessibility indicators," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    7. Büsing, Christina & Comis, Martin & Schmidt, Eva & Streicher, Manuel, 2021. "Robust strategic planning for mobile medical units with steerable and unsteerable demands," European Journal of Operational Research, Elsevier, vol. 295(1), pages 34-50.
    8. Chenmei Teng & Poshan Yu & Liwen Liu, 2024. "A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    9. Dianne Villicaña-Cervantes & Omar J. Ibarra-Rojas, 2024. "Accessible location of mobile labs for COVID-19 testing," Health Care Management Science, Springer, vol. 27(1), pages 1-19, March.
    10. Mohammadi, M. & Dehbari, S. & Vahdani, Behnam, 2014. "Design of a bi-objective reliable healthcare network with finite capacity queue under service covering uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 15-41.
    11. Areej Alhothali & Budoor Alwated & Kamil Faisal & Sultanah Alshammari & Reem Alotaibi & Nusaybah Alghanmi & Omaimah Bamasag & Manal Bin Yamin, 2022. "Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia," IJERPH, MDPI, vol. 19(14), pages 1-21, July.
    12. Núñez Ares, José & de Vries, Harwin & Huisman, Dennis, 2016. "A column generation approach for locating roadside clinics in Africa based on effectiveness and equity," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1002-1016.
    13. Christian Burkart & Pamela C. Nolz & Walter J. Gutjahr, 2017. "Modelling beneficiaries’ choice in disaster relief logistics," Annals of Operations Research, Springer, vol. 256(1), pages 41-61, September.
    14. Harwin De Vries & Lisa E. Swinkels & Luk N. Van Wassenhove, 2021. "Site Visit Frequency Policies for Mobile Family Planning Services," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4522-4540, December.
    15. Sophie N. Parragh & Fabien Tricoire & Walter J. Gutjahr, 2022. "A branch-and-Benders-cut algorithm for a bi-objective stochastic facility location problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 419-459, June.
    16. Gralla, Erica & Goentzel, Jarrod, 2018. "Humanitarian transportation planning: Evaluation of practice-based heuristics and recommendations for improvement," European Journal of Operational Research, Elsevier, vol. 269(2), pages 436-450.
    17. Wang, Guangchao & Jia, Ning & Ma, Shoufeng & Qi, Hang, 2014. "A rank-dependent bi-criterion equilibrium model for stochastic transportation environment," European Journal of Operational Research, Elsevier, vol. 235(3), pages 511-529.
    18. Thorsen, Andreas & McGarvey, Ronald G., 2018. "Efficient frontiers in a frontier state: Viability of mobile dentistry services in rural areas," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1062-1076.
    19. Hammad, Ahmed W A & Akbarnezhad, Ali & Rey, David, 2017. "Sustainable urban facility location: Minimising noise pollution and network congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 107(C), pages 38-59.
    20. Allahyari, Somayeh & Salari, Majid & Vigo, Daniele, 2015. "A hybrid metaheuristic algorithm for the multi-depot covering tour vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 242(3), pages 756-768.

    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:gam:jijerp:v:19:y:2022:i:16:p:9959-:d:886741. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.