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How to avoid future “Covid-19 origins” questions?

Origins debates regarding Covid-19 are gaining momentum again. In light of the continued infections and deaths of Covid-19 seen in countries rich and poor, rather than focusing the approach with “whodunit”, developing solutions that can help societies become better prepared for future pandemics migh...

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Autores principales: Su, Z., McDonnell, D., Cheshmehzangi, A., Ahmad, J., Šegalo, S., da Veiga, C.P., Xiang, Y.-T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Masson SAS. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666368/
https://www.ncbi.nlm.nih.gov/pubmed/36406280
http://dx.doi.org/10.1016/j.jemep.2022.100856
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author Su, Z.
McDonnell, D.
Cheshmehzangi, A.
Ahmad, J.
Šegalo, S.
da Veiga, C.P.
Xiang, Y.-T.
author_facet Su, Z.
McDonnell, D.
Cheshmehzangi, A.
Ahmad, J.
Šegalo, S.
da Veiga, C.P.
Xiang, Y.-T.
author_sort Su, Z.
collection PubMed
description Origins debates regarding Covid-19 are gaining momentum again. In light of the continued infections and deaths of Covid-19 seen in countries rich and poor, rather than focusing the approach with “whodunit”, developing solutions that can help societies become better prepared for future pandemics might be a more meaningful way to move forward. In this paper, we propose a solution that could help society better predict and prevent future pandemics. A system could allow humans to anonymously report potential infectious disease outbreaks without fearing backlash or prejudice and could automatically surveil for potential disease transfers or virus leaks. The proposed autonomous and anonymous pandemic reporting and surveillance system has the potential to help health officials locate infectious disease outbreaks before they form into pandemics. And in turn, it better prevents future pandemics and avoids Covid-19 origins debates.
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spelling pubmed-96663682022-11-16 How to avoid future “Covid-19 origins” questions? Su, Z. McDonnell, D. Cheshmehzangi, A. Ahmad, J. Šegalo, S. da Veiga, C.P. Xiang, Y.-T. Ethics Med Public Health Humanities in Health Origins debates regarding Covid-19 are gaining momentum again. In light of the continued infections and deaths of Covid-19 seen in countries rich and poor, rather than focusing the approach with “whodunit”, developing solutions that can help societies become better prepared for future pandemics might be a more meaningful way to move forward. In this paper, we propose a solution that could help society better predict and prevent future pandemics. A system could allow humans to anonymously report potential infectious disease outbreaks without fearing backlash or prejudice and could automatically surveil for potential disease transfers or virus leaks. The proposed autonomous and anonymous pandemic reporting and surveillance system has the potential to help health officials locate infectious disease outbreaks before they form into pandemics. And in turn, it better prevents future pandemics and avoids Covid-19 origins debates. Elsevier Masson SAS. 2022-12 2022-11-16 /pmc/articles/PMC9666368/ /pubmed/36406280 http://dx.doi.org/10.1016/j.jemep.2022.100856 Text en © 2022 Elsevier Masson SAS. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Humanities in Health
Su, Z.
McDonnell, D.
Cheshmehzangi, A.
Ahmad, J.
Šegalo, S.
da Veiga, C.P.
Xiang, Y.-T.
How to avoid future “Covid-19 origins” questions?
title How to avoid future “Covid-19 origins” questions?
title_full How to avoid future “Covid-19 origins” questions?
title_fullStr How to avoid future “Covid-19 origins” questions?
title_full_unstemmed How to avoid future “Covid-19 origins” questions?
title_short How to avoid future “Covid-19 origins” questions?
title_sort how to avoid future “covid-19 origins” questions?
topic Humanities in Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666368/
https://www.ncbi.nlm.nih.gov/pubmed/36406280
http://dx.doi.org/10.1016/j.jemep.2022.100856
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