The role of the neighbourhood environment in shaping the mental health consequences of Covid-19
- Funded by UK Research and Innovation (UKRI)
- Total publications:0 publications
Grant number: ES/V015710/1
Grant search
Key facts
Disease
COVID-19Known Financial Commitments (USD)
$271,488.91Funder
UK Research and Innovation (UKRI)Principal Investigator
Muhammad WaqasResearch Location
United KingdomLead Research Institution
Muhammad WaqasResearch Priority Alignment
N/A
Research Category
Secondary impacts of disease, response & control measures
Research Subcategory
Indirect health impacts
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
The aim of this proposed research is to test to what extent features of the neighbourhood environment moderates the mental health consequences associated with the coronavirus pandemic. While undoubtedly any mental health impact will be partly shaped by individual characteristics, we also posit that there will be differential vulnerability across people due to their neighbourhood environment. Our starting point is Understanding Society (UKHLS), a survey which collects online data relating to people's mental health. Each individual has a unique identifier meaning that we can track their mental health before, during and after the lockdown, and indeed monitor their mental health on an ongoing long-term basis. Of particular importance for this project is the geographic identifier attached to each individual in the survey. This geographic identifier will allow us to identify the local authority in which each individual lives (391 of these in the UK) and through a special licence application, the lower super output area commonly referred to as the neighbourhood (over 32,000 of these in the UK). Using these identifiers, we will spatially link our longitudinal household survey datasets recording individuals' mental health with a variety of publically available datasets relating to neighbourhood contextual information (e.g. economic and social deprivation, population density, environmental capital, health services etc.). This will allow us to identify what makes some neighbourhoods produce better outcomes than others. Ultimately, our research will help in identifying those most vulnerable to the coronavirus pandemic and in formulating place based policy interventions aimed at protecting people's mental health.