Analysis and predictions of spread, recovery, and death caused by COVID-19 in India

Kumari, Rajani; Kumar, Sandeep; Poonia, Ramesh Chandra; Singh, Vijander; Raja, Linesh; Bhatnagar, Vaibhav; Agarwal, Pankaj

doi:10.26599/bdma.2020.9020013

Cited by 120 publications

(58 citation statements)

References 32 publications

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“…Compared to the total number of deaths(Kumari et al, 2021), recovery from COVID-19 is far ahead. The media hardly highlights this fact.There are at least five instances of positive news during the lockdown.…”

mentioning

confidence: 98%

Social media, positive news give hope amid pandemic in India

Shekhar¹

2021

Media Asia

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confidence: 98%

Social media, positive news give hope amid pandemic in India

Shekhar¹

2021

Media Asia

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“…Some of the studies that can be useful for analyzing the COVID-19 situation in India includes, Bhatnagar and Poonia [33], Singh et al [34], Kumari et al [35], Bhatnagar et al [36], Ghosh et al [37], Majumdar et al [38] and Singh and Avikal [39].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of stress level in urban area’s during COVID-19 outbreak using critic and topsis: A case of Indian cities

Gupta

Vijayvargy

Gupta

2021

Journal of Statistics and Management Systems

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The paper deals with a multi-criteria analysis of stress intensity in the urban areas of India during COVID-19. For instance, a person may not be afraid of driving fast alone but might experience great fear when driving fast on the road with family. Such thoughts of panic and anxiety can overpower the person in these times of COVID-19. In these troubled times of Coronavirus pandemic, social distancing and the lockdown, it is usual for people to feel anxious and have no peace of mind. Thus stress triggers in many ways, i.e. staying healthy, concern for job etc. Some of the major economies in the world, including INDIA, are fighting to find a cure by way of vaccines to stop this pandemic. However, no luck to find a solution to end this pandemic so far is triggering the fear, anxiety and adding stress levels among many of us. The fear of pandemic and following guidelines of the lockdown in India have exacerbated symptoms like anxiety in those with existing stress levels. This paper provides a comparative analysis of TOPSIS in the sense of taking decisions to rate India's major urban cities according to their feeling of overload. The CRITIC method has been used

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“…In addition, transparent player transfer with privacy protection can be regarded as a secure multi-party computation issue, i.e., secure similarity calculation with privacy-preservation. Therefore, we summarize the related work in the field from the following two perspectives: similarity-based matching [21][22][23][24][25][26] and collaboration with privacy-preservation.…”

Section: Related Workmentioning

confidence: 99%

Trusted Player Transfer Evaluation for Sport Markets Based on Blockchain and Locality-Sensitive Hashing

Liu

et al. 2021

IEEE Access

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With the wide popularity of various sport items and the continuous prosperity of sport business, player transfer events are becoming more and more frequent, which gives birth to a big player transfer market with attractive attentions of spectators. However, for the purposes of business competition or concerns of privacy disclosure, the multiple parties involved in an identical player transfer event are often reluctant to release the concrete transfer fees of a player as the transfer fee is always sensitive enough for the player himself or herself as well as the involved multiple sport clubs. The hidden player transfer fees block the fair and transparent sport business trades and cheat prospective spectators to some extent, which decreases the spectator trust towards player market value and finally, lowers the spectators' satisfaction towards sport business. In this situation, it is becoming a necessity to develop a trusted player transfer evaluation method supported by all the parties involved in player transfer events. Inspired by this challenging task, a trusted player transfer evaluation method with privacy protection is put forward in this paper, which is mainly based on Locality-Sensitive Hashing (LSH) and Blockchain technologies and named TPTELSH+B. At last, a series of simulated experiments are deployed to validate the feasibility of our proposed TPTELSH+B algorithm. Experimental results report that TPTELSH+B has a good evaluation performance with competitive approaches.

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Analysis and predictions of spread, recovery, and death caused by COVID-19 in India

Cited by 120 publications

References 32 publications

Social media, positive news give hope amid pandemic in India

Social media, positive news give hope amid pandemic in India

Assessment of stress level in urban area’s during COVID-19 outbreak using critic and topsis: A case of Indian cities

Trusted Player Transfer Evaluation for Sport Markets Based on Blockchain and Locality-Sensitive Hashing

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