ABSTRACT
Many people worldwide have been at home for months and practicing social distancing to mitigate the spread of coronavirus (COVID-19). What may have started as a single case is now in at least 180 countries. Preliminary surveys indicate that the COVID-19 pandemic has caused people to feel more lonely and isolated than they did before. It may be due to the fear of the virus, death of loved ones, and the lock-downs restrictions imposed in some countries. This paper proposes a parametric multi-agent simulation framework to emulate Social Isolation during the pandemic. Using the proposed simulator we mimic real-world area of 144 km2 and population size of 200,000 in order to have near-accurate settings. Various parameters, such as the number of hospitals and capacity, infection rate, recovery, hospitalization, and death, are considered. The simulation is validated on a real-world scale artificial society and is parameterized to a great extent to simulate various settings.
ABSTRACT
BACKGROUND: Vulnerable persons are individuals whose life situations create or exacerbate vulnerabilities, such as low income, housing insecurity and social isolation. Vulnerable people often receive a patchwork of health and social care services that does not appropriately address their needs. The cost of health and social care services escalate when these individuals live without appropriate supports. Compassionate Communities apply a population health theory of practice wherein citizens are mobilized along with health and social care supports to holistically address the needs of persons experiencing vulnerabilities. AIM: The purpose of this study was to evaluate the implementation of a compassionate community intervention for vulnerable persons in Windsor Ontario, Canada. METHODS: This applied qualitative study was informed by the Consolidated Framework for Implementation Research. We collected and analyzed focus group and interview data from 16 program stakeholders: eight program clients, three program coordinators, two case managers from the regional health authority, one administrator from a partnering community program, and two nursing student volunteers in March through June 2018. An iterative analytic process was applied to understand what aspects of the program work where and why. RESULTS: The findings suggest that the program acts as a safety net that supports people who are falling through the cracks of the formal care system. The 'little things' often had the biggest impact on client well-being and care delivery. The big and little things were achieved through three key processes: taking time, advocating for services and resources, and empowering clients to set personal health goals and make authentic community connections. CONCLUSION: Compassionate Communities can address the holistic, personalized, and client-centred needs of people experiencing homelessness and/or low income and social isolation. Volunteers are often untapped health and social care capital that can be mobilized to promote the health of vulnerable persons. Student volunteers may benefit from experiencing and responding to the needs of a community's most vulnerable members.
