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公众对新冠疫情理解程度的社会经济预测因素

Socio-economic predictors of public understanding of the COVID-19 pandemic.

作者信息

Hossain Md Rifat, Chakma Salit, Tasnim Farah, Zahra Zuairia

机构信息

Department of Disaster and Human Security Management, Bangladesh University of Professionals, Bangladesh.

出版信息

Heliyon. 2021 Jun;7(6):e07255. doi: 10.1016/j.heliyon.2021.e07255. Epub 2021 Jun 9.

DOI:10.1016/j.heliyon.2021.e07255
PMID:34124408
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8186942/
Abstract

The COVID-19 (Coronavirus 2019) pandemic has proven to be the biggest global shock since World War II. That war resulted in 5.5 million deaths. The number of COVID-19-infected persons exceeded 13 million in the first 6 months of the pandemic and many more asymptomatic cases are undocumented. The global economy has been affected severely. The tension, the fear, the drastic measures to try to control the spread of the disease disrupted everyone's life from child to senior. The condition is worse in the global south, such as in Bangladesh, where the average population density is 7.5 times higher than that of China, where COVID-19 began and spread uncontrollably at the end of 2019. Lockdowns and social distancing were tried to stop the transmission of the disease but were often not observed faithfully or were less effective than thought to be. People need to trade and interact to earn money to survive but these activities could endanger others' lives if they do not maintain safety measures. Individual awareness is not only curtailing the spread of COVID-19 but also saves others' lives. This cross-sectional study used Ordinal and Binary logit models to predict the level of awareness through potential regressors of the citizen toward COVID-19 in Bangladesh. Findings of the study are that the level of awareness is dependent on the level of trauma; also, that household income is a statistically-significant predictor of awareness. Behavioral activities such as use of masks, outdoor activities, and stockpiling tendencies are found to be statistically significant predictors of awareness as well.

摘要

2019冠状病毒病(COVID-19)大流行已被证明是自第二次世界大战以来最大的全球冲击。那场战争导致了550万人死亡。在大流行的头6个月里,COVID-19感染者人数超过了1300万,还有更多无症状病例未被记录在案。全球经济受到了严重影响。紧张情绪、恐惧心理以及为控制疾病传播而采取的严厉措施扰乱了从儿童到老年人每个人的生活。在全球南方情况更糟,比如在孟加拉国,其平均人口密度比2019年底COVID-19开始并失控传播的中国高出7.5倍。人们尝试通过封锁和社交距离来阻止疾病传播,但这些措施往往没有得到切实遵守,或者效果不如预期。人们需要进行贸易和互动来赚钱维持生计,但如果不采取安全措施,这些活动可能会危及他人生命。个人意识不仅能遏制COVID-19的传播,还能拯救他人生命。这项横断面研究使用有序和二元逻辑模型,通过孟加拉国公民对COVID-19的潜在回归变量来预测意识水平。研究结果表明,意识水平取决于创伤程度;此外,家庭收入是意识的一个具有统计学意义的预测因素。诸如使用口罩、户外活动和囤积倾向等行为活动也被发现是意识的具有统计学意义的预测因素。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e2/8215217/199178066c38/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e2/8215217/8c7d010c335b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e2/8215217/891feda75998/gr3.jpg
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