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How to avoid future "Covid-19 origins" questions?
Su, Z; McDonnell, D; Cheshmehzangi, A; Ahmad, J; Segalo, S; da Veiga, C P; Xiang, Y-T.
  • Su Z; School of Public Health; Institute for Human Rights, Southeast University, 210009 Nanjing, China.
  • McDonnell D; Department of Humanities, South East Technological University, R93 V960, Ireland.
  • Cheshmehzangi A; Faculty of Science and Engineering, University of Nottingham Ningbo China, 315100 Ningbo, Zhejiang, China.
  • Ahmad J; Network for Education and Research on Peace and Sustainability, Hiroshima University, 739-8530 Hiroshima, Japan.
  • Segalo S; Rufaidah Nursing College, Peshawar, Pakistan.
  • da Veiga CP; Faculty of Health Studies, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina.
  • Xiang YT; Fundação Dom Cabral - FDC, Av. Princesa Diana, 760, Alphaville, Lagoa dos Ingleses, 34018-006 Nova Lima, MG, Brazil.
Ethics Med Public Health ; 25: 100856, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2282777
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Ethics Med Public Health Year: 2022 Document Type: Article Affiliation country: J.jemep.2022.100856

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Ethics Med Public Health Year: 2022 Document Type: Article Affiliation country: J.jemep.2022.100856