Estimating the social and spatial impacts of Covid mitigation strategies in United Kingdom regions: synthetic data and dashboards
Year: 2022
Type: article
Abstract: This study advances understanding of the broader social and spatial impacts of COVID-19 restrictive measures, particularly how they may have impacted individuals and households and, in turn, the geographic areas in which these individuals and households are concentrated. Data are combined and linked to a novel individual-level synthetic dataset and an interactive dashboard is developed to assist with the identification and understanding of the social and spatial impacts of restrictions. To illustrate the utility of this approach, the analysis focuses on the impact of three restrictions within a defined spatial area: Yorkshire and Humberside (UK). Results highlight the additive nature of restriction impacts and suggest areas that may have the least future resilience as policy priority areas. This approach is transferable to other regions and the use of the dashboard allows rapid consideration and communication of the social and spatial nature of inequalities to researchers, practitioners and the general public.
Language: English
Topic: Social impacts of COVID-19
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,909
Awards: G1367407852, HABITS: Improved policy to mitigate pollutant and inactivity related health burdens through new big data, G2456291976, Consumer Data Research Support Service (CDRSS), CDRC, Urban Big Data Centre, Bringing the Social City to the Smart City, G5274634927, System-science Informed Public Health and Economic Research for Non-communicable Disease Prevention (the SIPHER Consortium), Systems Science Research in Public Health (SysSci)
OpenAlex ID: W4293067600
