ABSTRACT
On April 6, 2020, a confirmed COVID-19 case in a correctional facility employee (Staff A) was reported to the Vermont Department of Health (VDH). Staff A worked in the facility while symptomatic, without reporting symptoms, for 10 days. VDH and the facility conducted two facility-wide testing events, implemented symptom monitoring, and initiated contact tracing. All 197 incarcerated persons and 115 (71%) staff were tested for SARS-CoV-2; 45 (23%) incarcerated persons and 17 (10%) staff had positive results (confirmed case), of whom 37 (82%) incarcerated persons and 1 (6%) staff had asymptomatic infections. Case detection enabled isolation of incarcerated persons and staff, work exclusion of staff with COVID-19, and quarantine of staff and incarcerated persons who had close contact with persons with COVID-19. Broad-based SARS-CoV-2 testing identified more cases than symptom monitoring.
Subject(s)
COVID-19 , COVID-19 Testing , Disease Outbreaks , Humans , Prisons , SARS-CoV-2 , Vermont/epidemiologyABSTRACT
COVID-19 has exacted a disproportionate toll on the health of persons living in nursing homes. Healthcare providers and other decision-makers in those settings must refer to multiple evolving sources of guidance to coordinate care delivery in such a way as to minimize the introduction and spread of the causal virus, SARS-CoV-2. It is essential that guidance be presented in an accessible and usable format to facilitate its translation into evidence-based best practice. In this article, we propose the Haddon matrix as a tool well-suited to this task. The Haddon matrix is a conceptual model that organizes influencing factors into pre-event, event, and post-event phases, and into host, agent, and environment domains akin to the components of the epidemiologic triad. The Haddon matrix has previously been applied to topics relevant to the care of older persons, such as fall prevention, as well as to pandemic planning and response. Presented here is a novel application of the Haddon matrix to pandemic response in nursing homes, with practical applications for nursing home decision-makers in their efforts to prevent and contain COVID-19.