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

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Version 2 2023-06-07, 08:54
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journal contribution
posted on 2023-06-07, 08:54 authored by Andre Maia Chagas, Jennifer C Molloy, Lucia L Prieto-Godino, Thomas BadenThomas Baden
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.

Funding

Anisotropic retinal circuits for processing of colour and space in nature; G2397; BBSRC-BIOTECHNOLOGY & BIOLOGICAL SCIENCES RESEARCH COUNCIL; BB/R014817/1

A window into the fly brain: “dual imaging” of neural circuits involved in locomotor behaviour in Drosophila; G2180; MRC-MEDICAL RESEARCH COUNCIL

NeuroVisEco - Zebrafish vision in its natural context: from natural scenes through retinal and central processing to behaviour; G1871; EUROPEAN UNION; 677687

Optical Electrophysiology: Establishing fluorescence voltage imaging capability at Sussex Neuroscience; G2018; MRC-MEDICAL RESEARCH COUNCIL

Anisotropic retinal circuits for processing of colour and space in nature - Lister Institute Research Prize; G2503; LISTER INSTITUTE

Philip Leverhulme Prize - Biological Sciences; G2276; LEVERHULME TRUST; PLP-2017-005

History

Publication status

  • Published

File Version

  • Published version

Journal

PLoS Biology

ISSN

1544-9173

Publisher

Public Library of Science

Issue

4

Volume

18

Article number

e3000730

Event location

United States

Department affiliated with

  • Neuroscience Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2020-07-30

First Open Access (FOA) Date

2020-07-30

First Compliant Deposit (FCD) Date

2020-07-30

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