人工智能:一个有影响力的评论:大流行情景

Ritu Chauhan, A. Sengupta, Eiad Yafi
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引用次数: 0

摘要

自21世纪初以来,世界不得不面对几次病毒性疾病的爆发,如基孔肯雅热、埃博拉、尼帕、h7n9禽流感、H1N1、SARS、中东呼吸综合征,尤其是冠状病毒或SARS- cov -2,它使整个世界陷入停顿,到目前为止,它已感染了约2亿人,造成400多万人死亡。美国、印度、巴西和俄罗斯是受影响最严重的国家。2020年1月30日成为“国际关注的突发公共卫生事件”,2020年3月11日成为“大流行”。虽然SARS- CoV-2(严重急性呼吸系统综合征冠状病毒2)或冠状病毒的致死率很低,即2.9%,但冠状病毒最成问题的方面是其异常高的传染性。这种独特的病毒属性需要更严格、更先进的调查、研究和分析方法,这就是人工智能(AI)的用武之处;科学界坚信,人工智能和数据科学可以用来对抗冠状病毒,并可以填补科学留下的空白。在目前的方法研究中,我们强调了人工智能在大流行期间的作用,并实施了研究。进一步,从2020年到2021年进行趋势分析,分析未来预测的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence an Influential Review: Pandemic Scenario
Since the beginning of the 21st century the world had to face several outbreaks ofviral diseases like Chikungunya, Ebola, Nipah, H7H9 Bird flu, H1N1, SARS, MERS and above all the Coronavirus or SARS-CoV-2 which has brought the whole world to a standstill, as of now it as infected around 200 million people and has caused over 4 million deaths. The countries of USA, India, Brazil and Russia have been the most seriously affected countries of all. outbreak of Covid-19 a ‘Public Health Emergency of International Concern’ on 30th January 2020 and a ‘pandemic’ on 11th march 2020. Although the SARS- CoV-2 (Severe acute respiratory syndrome Coronavirus 2) or the Coronavirus has a very low fatality rate i.e. 2.9%, but the most problematic aspect of the Coronavirus is its unusually high infectivity rate. Such unique attributes of the virus called for more stringent and advanced methods of investigation, research and analysis and this is where Artificial Intelligence (AI) comes in; the scientific community strongly believe that AI and data science can be used to fight against the Coronavirus and can fill in the blanks still left by science. In current study of approach, we have emphasis the role of AI during the pandemic and implemented the study. Further, a trend analysis is conducted from year 2020 till 2021 to analyze the pattern for future forecasting.
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