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Social Learning About COVID-19 Vulnerability and Social Distancing in High Density Populations: The Case of UK Urban Dwelling Bangladeshis, 2020-2021
Creator
Tang, C, King's College London
Study number / PID
855390 (UKDA)
10.5255/UKDA-SN-855390 (DOI)
Data access
Open
Series
Not available
Abstract
Early epidemiology indicated older members of Britain’s Bangladeshi communities were disproportionately affected by COVID-19 related morbidity and mortality. Bangladeshis were more likely to have comorbidities and live in poorer, overcrowded areas in the UK’s urban centres where viral contagion was more likely. This cross-section of socioeconomic, geographical and health related factors underlined the need for clear messaging about social distancing in a complex and shifting risk scenario – messages that this vulnerable group, who speak an oral language (Sylheti), may not have been able to access directly due to low literacy and English language proficiency.
This study identified the practices adopted by Bangladeshis in East London in response to the pandemic, the underlying attitudes and beliefs and whether and how these had been influenced by messages about social distancing. Drawing on our earlier work, it examined the role of social learning in how messages were accessed and interpreted and whether and how the health interactions of this older group were mediated by friends, family members and acquaintances. Remote interviews with older Bangladeshis and their social contacts who performed this mediating role provided insights into how linguistically and culturally appropriate messaging could build on existing beliefs and practices to promote compliance, and on social mediation as a dissemination strategy. We identified the role of choice of language (English or Sylheti), the differences between written and oral representations of COVID-19 risk, and the manifold ways in which linguistic choices give salience to aspects of a risk scenario.Early epidemiology indicated older members of Britain’s Bangladeshi communities were disproportionately affected by COVID-19 related morbidity and mortality. Bangladeshis were more likely to have comorbidities and live in poorer, overcrowded areas in the UK’s urban centres where viral contagion was more likely. This...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
13/07/2020 - 14/04/2021
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Text
Data collection mode
Interviews, focus groups
Funding information
Grant number
ES/V010018/1
Access
Publisher
UK Data Service
Publication year
2022
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.