COVID-19 and information flows: social networks and coping mechanisms in rural Bangladesh: 2022 [Tangail, Bangladesh]
收藏ICPSR2022-01-01 更新2026-04-16 收录
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https://www.openicpsr.org/openicpsr/project/183703/version/V2/view?path=/openicpsr/183703/fcr:versions/V2/Final-Survey.pdf&type=file
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资源简介:
The COVID-19 and information flows (CIF) constitutes a household level census of three contiguous villages- Bankina, Roail, and Shatihati, in the Tangail district of Dhaka, Bangladesh. In addition to standard socioeconomic and demographic information (e.g. marital status, employment, age, gender, living conditions, migrants, etc.), the CIF gathers information on respondents' COVID knowledge, attitudes, and practice; traces the social network of information flow between villagers; and elicits information on perceptions of respondent's economic position relative to different reference groups (e.g. neighbors, colleagues, siblings, etc.), subjective well-being, sources of help during Covid related adversities, and household GPS location coordinates. Data on 1,624 households were collected in a single wave during 09/2022 and 10/2022.
新冠疫情与信息流动(COVID-19 and Information Flows,缩写CIF)数据集是对孟加拉国达卡专区坦盖尔县下辖的班基纳(Bankina)、罗伊尔(Roail)与沙蒂哈蒂(Shatihati)三个连片村庄开展的住户级普查数据。除标准社会经济与人口统计信息(如婚姻状况、就业情况、年龄、性别、居住条件、移民背景等)外,该数据集还收集了受访对象的新冠认知、态度与行为信息,绘制了村民间的信息流动社交网络,并获取了受访对象针对不同参照群体(如邻居、同事、兄弟姐妹等)的自身经济地位感知、主观幸福感、新冠相关困境中的求助渠道,以及住户的GPS定位坐标等内容。该数据集于2022年9月至10月期间,通过单波次调查共收集了1624户家庭的相关数据。
提供机构:
University College London; Carleton College
创建时间:
2022-01-01



