分析封锁对控制Covid-19传播的影响及未来预测

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2022-04-11 DOI:10.1142/s0218488522400050
Mamoona Anam, Roy Setiawan, Sathiya Kumar Chinnappan, Nik Alif Amri Nik Hashim, Abolfazl Mehbodniya, C. Bhargava, Pardeep Kumar Sharma, K. Phasinam, V. Subramaniyaswamy, Sudhakar Sengan
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引用次数: 1

摘要

2019冠状病毒病疫情是世界各国行政单位面临的重大挑战。印度也更关注监测病毒的传播,通过严格的行为控制其增长速度。当前新冠肺炎疫情对印度的影响巨大,本文将讨论各种预防措施的效果。本研究展示了截至2021年7月3日印度遭受第二波COVID-19疫情的各邦的不同趋势和数据来源模式。数据来源来自印度卫生和家庭福利部。这项工作特别针对许多研究活动,以发现通过传统方法控制病毒的封锁效果,以恢复和保护大流行。第二次浪潮造成的经济损失比第一次浪潮更大,死亡率也有所上升。为了避免这种情况,在国家管制的封锁期间,开发了各种方法来发现感染病例,但感染病例仍然损害了不管制的事件。2019冠状病毒病预测于2021年7月3日使用指数模拟进行。本文讨论了控制第二波的方法,给出了各种分析报告,显示了封锁效应的影响。这极大地有助于防止未来大流行的传播。
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Analyzing the Impact of Lockdown in Controlling Covid-19 Spread and Future Prediction
COVID-19 outbreaks are the critical challenge to the administrative units of all worldwide nations. India is also more concerned about monitoring the virus’s spread to control its growth rate by stringent behaviour. The present COVID-19 situation has huge impact in India, and the results of various preventive measures are discussed in this paper. This research presents different trends and patterns of data sources of States that suffered from the second wave of COVID-19 in India until 3rd July 2021. The data sources were collected from the Indian Ministry of Health and Family Welfare. This work reacts particularly to many research activities to discover the lockdown effects to control the virus through traditional methods to recover and safeguard the pandemic. The second wave caused more losses in the economy than the first wave and increased the death rate. To avoid this, various methods were developed to find infected cases during the regulated national lockdown, but the infected cases still harmed unregulated incidents. The COVID-19 forecasts were made on 3rd July 2021, using exponential simulation. This paper deals with the methods to control the second wave giving various analyses reports showing the impact of lockdown effects. This highly helps to safeguard from the spread of the future pandemic.
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
48
审稿时长
13.5 months
期刊介绍: The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical or methodological works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge, excluding results on pure mathematics or simple applications of existing theoretical results. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators.
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