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首页> 外文期刊>The International journal of social psychiatry >COVID-19 pandemic lockdown: An emotional health perspective of Indians on Twitter
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COVID-19 pandemic lockdown: An emotional health perspective of Indians on Twitter

机译：Covid-19大流行锁定：推特上印第安人的情感健康观点

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摘要

Background: Novel corona virus (2019-nCoV) has spread in the world since its first human infection in December 2019. India has also witnessed a rising number of infections since March 2020. The Indian government imposed lockdowns in the nation to control the movement of its citizens thereby confining the spread of the virus. Tweeters resorted to usage of social media platform to express their mind. Aim: Through this article, an attempt has been made to understand the mind-set of Indian people using Python and R statistical software, during the recent lockdown 2.0 (15 April 2020 to 3 May 2020) and lockdown 3.0 (4 May 2020 to 17 May 2020) through their tweets on the social media platform Twitter. Also, opinion on e-commerce during this pandemic has been analysed. Method: Analysis has been performed using Python and R statistical software. Also, recent articles related to COVID-19 have been considered and reviewed. Result: Although the country had a positive approach in lockdown 2.0 with only few instances of sadness, disgust and others, the majority of the people had a negative approach in lockdown 3.0. Conclusion: This analysis can help the health specialists to understand people’s mind-set, the authorities to take further corresponding measures in washing out the virus and the e-commerce stakeholders to adapt to the changing attitudes by adjusting demand and supply plans accordingly.
机译：背景：新型冠状病毒（2019 nCoV）自2019年12月首次人类感染以来已在世界范围内传播。自2020年3月以来，印度的感染人数也在上升。印度政府在全国实施封锁，以控制其公民的行动，从而限制病毒的传播。推特用户借助社交媒体平台来表达自己的想法。目标：通过本文，我们试图通过社交媒体平台Twitter上的推文，了解最近封锁2.0（2020年4月15日至2020年5月3日）和封锁3.0（2020年5月4日至2020年5月17日）期间使用Python和R统计软件的印度人的心态。此外，还分析了在这场大流行期间人们对电子商务的看法。方法：使用Python和R统计软件进行分析。此外，最近2019冠状病毒疾病相关文章被考虑和回顾。结果：尽管该国在封锁2.0中采取了积极的态度，只有少数人表现出悲伤、厌恶和其他情绪，但大多数人在封锁3.0中采取了消极的态度。结论：该分析有助于卫生专家了解人们的心态，有助于当局进一步采取相应措施清除病毒，并有助于电子商务利益相关者通过相应调整需求和供应计划来适应不断变化的态度。

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