Overcoming adversity: Building a remote interdisciplinary neurorehabilitation service during the COVID-19 pandemic.

Background: The COVID-19 pandemic necessitated rapid change in neurorehabilitation delivery at the Defence Medical Rehabilitation Centre (DMRC), with a reduction in inpatient capacity. Aims and method: An interdisciplinary remote working group developed a novel neurorehabilitation telerehabilitation (TR) model. The plan, do, study, act (PDSA) model was used to develop and monitor activity in the changing pandemic context and to identify clinical outputs, key themes and learning points. Results: Eight PDSA cycles were performed, including video outpatient clinics, multidisciplinary team meetings, virtual ward rounds and TR for patients at home. Ten patients and 21 staff members provided feedback. Qualitative themes emerged including information technology, consultation environment, access to clinical notes and record keeping, clinical considerations, consent, patient and staff feedback, and feasibility. Conclusion: COVID-19 accelerated the implementation of TR at DMRC, allowing maintenance of service during lockdown. TR was acceptable to patients but placed a significant burden on staff. Practical suggestions for establishing a TR service are provided alongside challenges and limitations.

Chemical explosion, COVID-19, and environmental justice: Insights from low-cost air quality sensors.

OBJECTIVES: To examine the impact of the Intercontinental Terminals Company (ITC) fire and COVID-19 on airborne particulate matter (PM) concentrations and the PM disproportionally affecting communities in Houston using low-cost sensors. METHODS: We compared measurements from a network of low-cost sensors with a separate network of monitors from the Environmental Protection Agency (EPA) in the Houston metropolitan area from Mar 18, 2019, to Dec 31, 2020. Further, we examined the associations between neighborhood-level sociodemographic status and air pollution patterns by linking the low-cost sensor data to EPA environmental justice screening and mapping systems. FINDINGS: We found increased PM levels during ITC fire and pre-COVID-19, and lower PM levels after the COVID-19 lockdown, comparable to observations from the regulatory monitors, with higher variations and a greater number of locations with high PM levels detected. In addition, the environmental justice analysis showed positive associations between higher PM levels and the percentage of minority, low-income population, and demographic index. IMPLICATION: Our study indicates that low-cost sensors provide pollutant measures with higher spatial variations and a better ability to identify hot spots and high peak concentrations. These advantages provide critical information for disaster response and environmental justice studies. SYNOPSIS: We used measurements from a low-cost sensor network for air pollution monitoring and environmental justice analysis to examine the impact of anthropogenic and natural disasters.