注:冠状病毒病:通过全球视角进行冠状病毒预后,以实现全球和地方层面的有效决策

Ishrat Jahan Eliza, Md. Hasibul Hussain Hisham, Mohammad Nuwaisir Rahman, A. Akil, Abir Mohammad Turza, Fahim Morshed, Nazmus Sakib, S. Chellappan, A. Islam
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引用次数: 0

摘要

流行病和大流行病自古以来就影响着人类的生活,有时甚至改变了历史的进程。此时此刻,冠状病毒(COVID-19)大流行已成为决定性的全球卫生危机。现在,也许是历史上第一次,人类作为一个整体经历了重大的生活中断和某种形式的封锁。决策者需要为贸易、银行、教育等各个部门制定新的政策,以减少损失并迅速恢复。反过来,为了有效地制定政策,需要一些先决条件是对流行病传播的历史趋势分析、未来预测、疾病传播与各种社会经济和环境因素之间的相关性等。此外,所有这些都需要以综合的方式实时呈现,以促进有效的决策。因此,在本次工作中,我们开发了基于web的综合实时操作仪表板,作为COVID-19一站式决策支持系统。在我们的研究中,我们根据来自多个经过认证的来源的可用数据进行了详细的数据驱动分析,通过严格的建模和统计分析来预测大流行即将产生的后果。我们还探讨了疾病传播与各种社会经济和环境因素之间的相关性。此外,我们还介绍了我们的工作成果如何促进当代和未来的政策制定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Note: CORONOSIS: Corona Prognosis via a Global Lens to Enable Efficient Policy-making Both at Global and Local Levels
Epidemics and pandemics have been affecting human lives since time, and have sometimes altered the course of history. At this very moment, Coronavirus (COVID-19) pandemic has been the defining global health crisis. Now, perhaps for the first time in history, humanity as a whole has undergone major disruptions to life and some form of lockdown. New policies need to be forged by policy-makers for various sectors such as trading, banking, education, etc., to lessen losses and to heal quickly. For efficient policy-making, in turn, some prerequisites needed are historical trend analysis on the pandemic spread, future forecasting, the correlation between the spread of the disease and various socio-economic and environmental factors, etc. Besides, all of these need to be presented in an integrated manner in real-time to facilitate efficient policy-making. Therefore, in this work, we developed a web-based integrated real-time operational dashboard as a one-stop decision support system for COVID-19. In our study, we conducted a detailed data-driven analysis based on available data from multiple authenticated sources to predict the upcoming consequences of the pandemic through rigorous modeling and statistical analyses. We also explored the correlations between disease spread and diverse socio-economic as well as environmental factors. Furthermore, we presented how the outcomes of our work can facilitate both contemporary and future policy-making.
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