IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i16p10385-d893549.html
   My bibliography  Save this article

Conceptual Design of the “Private Car” Self-Isolation Ecosystem for the 2019-nCoV Infection

Author

Listed:
  • Yudong Wang

    (Faculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China)

  • Lanting Wang

    (Faculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China)

  • Xinggui Wu

    (Faculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China)

  • Ziyi Ding

    (Faculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China)

  • Wanbo Zheng

    (Faculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China)

  • Xingxing Liang

    (Faculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China)

  • Huaming An

    (Faculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China)

Abstract

Since the beginning of the COVID-19 outbreak, confirmed and suspected cases of the disease have been increasing rapidly. The isolation of cases is one of the most effective methods for the control and containment of COVID-19 and has been rapidly popularized. Problems with isolation have gradually emerged, such as the inadequate allocation of isolation resources and the failure to properly resettle many of the suspected cases of the 2019-nCoV infection. In this paper, a self-isolation ecosystem of a rapid-deploying negative-pressurized “private car” is proposed for housing patients with 2019-nCoV infection, which could be lightweight, moderately sized and transparent to enable group supervision and communication. This “private car” isolation method aims to achieve self-isolation of patients and essentially solves the problem of where and how to isolate suspected cases while saving isolation resources and preventing the large-scale transmission of COVID-19.

Suggested Citation

  • Yudong Wang & Lanting Wang & Xinggui Wu & Ziyi Ding & Wanbo Zheng & Xingxing Liang & Huaming An, 2022. "Conceptual Design of the “Private Car” Self-Isolation Ecosystem for the 2019-nCoV Infection," IJERPH, MDPI, vol. 19(16), pages 1-9, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10385-:d:893549
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/16/10385/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/16/10385/
    Download Restriction: no
    ---><---

    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:10385-:d:893549. 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: 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.