Coronavirus as a Global Complex Problem Looking for Resilient Solutions

M. Buheji
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引用次数: 11

Abstract

A new type of mysterious zoonotic virus called coronavirus is swiping the world, killing thousands of people and infecting hundreds of thousands, without any foreseen innovative solutions. The pandemic of COVID-19 could be categorised to be a complex problem since it is both challenging to discover and difficult to manage. The complexity of the coronavirus comes from its capacity to interact and evolve in unexpected ways. Yet, with this complex global problem, it is still possible to come with innovative solutions, if we managed to follow practices that shorten the time to learn about the virus and comprehend it.  The researcher reviews the sequence of events of the first three months since the breakout of COVID-19 in December 2019, to set the mindset of the reader to consider this a complex problem that has constructs that need to be addressed, before we look for classical solutions. In order to simplify the complexity of this virus as a problem, a framework is proposed to help the specialised scientists to study the puzzle of coronavirus as a time-bound problem that could have resilient solutions. The framework focus on the traceability of the virus, besides its ‘doubling time’ and the Case Fatality Rate (CFR). Formulas of change and overall effectiveness of problem-solving are discussed, followed by a recommendation of how to optimise the utilisation of the proposed framework.
冠状病毒是一个寻找弹性解决方案的全球性复杂问题
一种名为冠状病毒的新型神秘人畜共患病毒正在席卷全球,导致数千人死亡,数十万人感染,而目前还没有任何可预见的创新解决方案。COVID-19大流行可以被归类为一个复杂的问题,因为它既具有挑战性,又难以管理。冠状病毒的复杂性来自于它以意想不到的方式相互作用和进化的能力。然而,面对这一复杂的全球问题,如果我们设法采取缩短了解和理解这一病毒的时间的做法,仍然有可能提出创新的解决办法。作者回顾了2019年12月COVID-19爆发以来头三个月发生的一系列事件,让读者在寻找经典解决方案之前,先把这视为一个需要解决的复杂问题。为了简化这种病毒作为一个问题的复杂性,提出了一个框架,以帮助专业科学家将冠状病毒之谜作为一个有时间限制的问题来研究,这个问题可能有弹性的解决方案。该框架除了关注病毒的“加倍时间”和病死率(CFR)外,还关注病毒的可追溯性。讨论了变化的公式和解决问题的整体有效性,然后提出了如何优化利用所提议的框架的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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