ABSTRACT
Objective: To provide near-real-time information for risk assessment, risk management and stress reduction during COVID campus re-entry. Methods: The DASH-SAFE dashboard (DASHboard-Stress At-Risk Facilities Environment), shows safer and riskier areas for COVID-re-entry to the University of Arizona (UArizona) campus by overlaying inputs from multiple surveillance technologies onto an interactive GIS campus map, including: survey of perceived feelings of safety/risk related to observed health behaviors (face coverings, physical distancing);predictive modeling of people's movement through campus;building coding related to viral spread risk (occupancy/ density, ventilation rate). Users also rated their stress level and DASH-SAFE's stress reducing effect. Survey responses appear as color-coded points on the map. A pilot study using QR code prompt posters, user observations, user interviews, and a qualitative survey to explore user expectations and assess ease of use was carried out at UArizona Libraries. Predictive modeling for movement through campus was based on class schedules and known mealtimes. Results: Beta testing through a campus-wide e-mailing garnered 67 responses. 61% noted areas of safety;9% areas of distancing risk;7.5% areas of masking risk;58% noted low stress. 3 of 6 respondents who scored the tool's stress reduction effect rated it 4 stars and 2 as 5 stars. 21 respondents in the UArizona Libraries pilot study provided data that improved understanding of how they perceive safety in addition to masking and distancing space, e.g., monitoring and hand sanitizers, and informed improvements for ease of use (e.g. simplify instructions, improve location instructions, specify COVID-related stress reduction). Predictive modeling revealed anticipated pinch points and maximal building occupancy over time. Conclusion: DASH-SAFE can help users assess and avoid areas of risk and help reduce their stress. Beta and pilot testing data will be used to modify and improve the tool and a navigation and alarm tool will be added in subsequent versions.