遇见数据集

Data of Vietnamese’s life during COVID-19

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Mendeley Data2021-07-06 更新2026-04-09 收录
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This research mentions Vietnamese’s life over the country, from the North to the Central and the South during COVID-19 pandemic through 590 volunteers from 15 to 76 years old, in multiple demographic profiles, answering our question. Data was collected by online questionnaire, purposefully on social networking platforms commonly used in Vietnam, Facebook and Zalo, taking place from June 15 to June 25, 2021 using the snowball techniques. SPSS software version 20.0 is used for descriptive statistics analysis, correlation test and reliability assessment of Likert scale; from there, helping to detect risks, typical daily living habits, special psychosocial status in the context of the COVID-19 pandemic and key solutions (at individual and national level) in response to the severe impacts of the pandemic. The data set can be a reference source for in-depth surveys on social life, building analytical models, forecasting the specific mood of society in crisis and implicating many important policy solutions so that countries with similar economic, cultural and social characteristics to Vietnam can learn, adapt and overcome the disaster caused by COVID-19.

本研究聚焦新冠疫情期间越南全国范围内的民众生活状况,调研覆盖北部、中部与南部三大区域,共招募590名年龄介于15至76岁的志愿者,涵盖多维度人口统计学特征,所有志愿者均参与了问卷作答。本次调研通过线上问卷采集数据,依托越南民众普遍使用的社交平台Facebook与Zalo进行发放,调研周期为2021年6月15日至6月25日,采用滚雪球抽样法开展数据收集工作。本研究使用SPSS 20.0软件进行描述性统计分析、相关性检验及李克特(Likert)量表信度评估;借此识别新冠疫情背景下的风险因素、典型日常生活习惯及特殊社会心理状态,并提出个体与国家层面的关键应对方案,以缓解疫情带来的严重冲击。本数据集可作为社会生活深度调研、分析模型构建、危机情境下社会特定情绪预测的参考来源,同时可为与越南在经济、文化及社会特征上相似的国家提供借鉴,助力其学习、适配并克服新冠疫情带来的灾害影响。

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2021-07-06
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