IDEAS home Printed from https://ideas.repec.org/a/plo/pbio00/3000730.html
   My bibliography  Save this article

Leveraging open hardware to alleviate the burden of COVID-19 on global health systems

Author

Listed:
  • Andre Maia Chagas
  • Jennifer C Molloy
  • Lucia L Prieto-Godino
  • Tom Baden

Abstract

With the current rapid spread of COVID-19, global health systems are increasingly overburdened by the sheer number of people that need diagnosis, isolation and treatment. Shortcomings are evident across the board, from staffing, facilities for rapid and reliable testing to availability of hospital beds and key medical-grade equipment. The scale and breadth of the problem calls for an equally substantive response not only from frontline workers such as medical staff and scientists, but from skilled members of the public who have the time, facilities and knowledge to meaningfully contribute to a consolidated global response. Here, we summarise community-driven approaches based on Free and Open Source scientific and medical Hardware (FOSH) as well as personal protective equipment (PPE) currently being developed and deployed to support the global response for COVID-19 prevention, patient treatment and diagnostics.In light of the Covid-19 pandemic, this Community Page article discusses the projects, pitfalls and possibilities regarding open source personal protective equipment, ventilators and diagnostics.

Suggested Citation

  • Andre Maia Chagas & Jennifer C Molloy & Lucia L Prieto-Godino & Tom Baden, 2020. "Leveraging open hardware to alleviate the burden of COVID-19 on global health systems," PLOS Biology, Public Library of Science, vol. 18(4), pages 1-17, April.
    • Handle: RePEc:plo:pbio00:3000730
    DOI: 10.1371/journal.pbio.3000730
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000730
    Download Restriction: no
    File URL: https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.3000730&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pbio.3000730?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. 42. Selected Data of Coronavirus in Spain, United States, Europe, America and other areas, year 2020: Statistics of Cases and Hospital beds
      by MCG Blogs de Economía in Euro-American Association: World Development on 2020-05-12 09:25:00

    More about this item

    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:plo:pbio00:3000730. 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: plosbiology (email available below). General contact details of provider: https://journals.plos.org/plosbiology/ .

    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.