Promoting Disaster Preparedness, Response, and Recovery in the Homeless Community of Halifax, Nova Scotia
Project OverviewThis research will allow for an in-depth understanding of how the homeless population is faring and the core processes involved in supporting homeless populations during a pandemic while illuminating what has worked and what have been limitations. Exploring the processes through the eyes of all the major stakeholders will provide a comprehensive report that can serve as a reference to improve our current and future emergency response planning. Dr. Karabanow’s experience being part of such a process during COVID-19 has illuminated processes that worked well (for example the support from the NGOs to set up community pop up sites) and those that have been core challenges (e.g., finding staff for such models). This research has the potential to better understand how to reduce the spread of COVID-19 among this vulnerable population, and its adverse benefits, including physical health, mental health, overall well-being, and quality of life, through effective service delivery models and best practices. Our three main research outcomes are as follows: • To deeply understand the direct impacts on homeless populations during the pandemic; • To chart best practice models for support of homeless populations during disasters and post-disaster recovery processes; and • To enhance student training opportunities to engage in research and community action to build understanding regarding a highly marginalized population during and following a pandemic.
Study DesignQualitative study
Project KeywordsCOVID-19, Homeless community, community service agency, vulnerable population
Department or Unit: School of Social Work
Organization: Dalhousie Unveristy
- Name: HaoruiWuTitle: Assistant ProfessorDepartment or Unit: School of Social WorkOrganization: Dalhousie Unveristy
- Name: JeanHughesTitle: ProfessorDepartment or Unit: School of NursingOrganization: Dalhousie Unveristy
CONVERGE is funded by the National Science Foundation (NSF), Division of Civil, Mechanical, and Manufacturing Innovation, Program on Humans, Disasters, and the Built Environment (Award #1841338). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.