COronavirus Vulnerabilities and INFOrmation dynamics Research and Modelling
- Funded by European Commission
- Total publications:0 publications
Grant number: 101016247
Grant search
Key facts
Disease
COVID-19Start & end year
20202023Known Financial Commitments (USD)
$5,781,737.52Funder
European CommissionPrincipal Investigator
Deneva NedaResearch Location
AustriaLead Research Institution
SYNYO GmbHResearch Priority Alignment
N/A
Research Category
Policies for public health, disease control & community resilience
Research Subcategory
Approaches to public health interventions
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Vulnerable populations unspecified
Occupations of Interest
Unspecified
Abstract
Policymakers and public health experts unanimously recognise the disproportionate impacts of COVID-19 on vulnerable persons: even in countries with well-developed responses, the outbreak and its repercussions imperil the basic well-being of social groups whose livelihoods are already precarious, while the uneven distribution of suffering threatens to aggravate inequality and division. One complicating factor here is the intersectional nature of health and socioeconomic vulnerabilities. Another is the complexity of risk in contemporary socioecological systems. The COVINFORM project will draw upon intersectionality theory and complex systems analysis in an interdisciplinary critique of COVID-19 responses on the levels of government, public health, community, and information and communications. The project will conduct research on three levels: 1) on an EU27 MS plus UK level, quantitative secondary data will be analysed and models will be developed; 2) Within 15 target countries, documentary sources on the national level and in at least one local community per country will be analysed; 3) in 10 target communities, primary empirical research will be conducted, utilising both classical and innovative quantitative and qualitative methods (e.g. visual ethnography, participatory ethnography, and automated analysis of short video testimonials). Promising practices will be evaluated in target communities through case studies spanning diverse disciplines (social epidemiology, the economics of unpaid labour, the sociology of migration, etc.) and vulnerable populations (COVID-19 patients, precarious families, migrating health care workers, etc.). The project will culminate in the development of an online portal and visual toolkit for stakeholders in government, public health, and civil society integrating data streams, indices and indicators, maps, models, primary research and case study findings, empirically grounded policy guidance, and creative assessment tools.