Su Z, McDonnell D, Cheshmehzangi A, Ahmad J, Šegalo S, da Veiga C P, Xiang Y-T
School of Public Health; Institute for Human Rights, Southeast University, 210009 Nanjing, China.
Department of Humanities, South East Technological University, R93 V960, Ireland.
Ethics Med Public Health. 2022 Dec;25:100856. doi: 10.1016/j.jemep.2022.100856. Epub 2022 Nov 16.
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.
关于新冠病毒起源的争论再次愈演愈烈。鉴于无论贫富国家都持续出现新冠病毒感染和死亡病例，与其将精力集中在“谁是罪魁祸首”上，开发能够帮助社会更好地为未来大流行做好准备的解决方案，可能是更有意义的前进方向。在本文中，我们提出了一个有助于社会更好地预测和预防未来大流行的解决方案。一个系统可以让人们匿名报告潜在的传染病爆发，而不必担心遭到报复或偏见，并且能够自动监测潜在的疾病传播或病毒泄漏。提议的自主匿名大流行报告和监测系统有潜力帮助卫生官员在传染病爆发演变成大流行之前就发现它们。相应地，它能更好地预防未来的大流行，并避免关于新冠病毒起源的争论。
