Early COVID-19 Pandemic Preparedness: Informing Public Health Interventions and Hospital Capacity Planning Through Participatory Hybrid Simulation Modeling.

We engaged with health sector stakeholders and public health professionals within the health system through a participatory modeling approach to support policy-making in the early COVID-19 pandemic in Saskatchewan, Canada. The objective was to use simulation modeling to guide the implementation of public health measures and short-term hospital capacity planning to mitigate the disease burden from March to June 2020. We developed a hybrid simulation model combining System Dynamics (SD), discrete-event simulation (DES), and agent-based modeling (ABM).

Real-Time Epidemiology and Acute Care Need Monitoring and Forecasting for COVID-19 via Bayesian Sequential Monte Carlo-Leveraged Transmission Models.

COVID-19 transmission models have conferred great value in informing public health understanding, planning, and response. However, the pandemic also demonstrated the infeasibility of basing public health decision-making on transmission models with pre-set assumptions. No matter how favourably evidenced when built, a model with fixed assumptions is challenged by numerous factors that are difficult to predict.

Characterizing the protein-protein interaction between MDM2 and 14-3-3σ; proof of concept for small molecule stabilization.

Mouse Double Minute 2 (MDM2) is a key negative regulator of the tumor suppressor protein p53. MDM2 overexpression occurs in many types of cancer and results in the suppression of WT p53. The 14-3-3 family of adaptor proteins are known to bind MDM2 and the 14-3-3σ isoform controls MDM2 cellular localization and stability to inhibit its activity.

Energizing compassion: using music and community focus to stimulate compassion drive and sense of connectedness.

Objectives: The last 20 years have seen considerable research on the nature and biopsychosocial impacts of compassion training on self and others. This training is usually focused on calming and slowing the mind and body and on individual imagery practices and mantras. This study explored the effects of three variations: 1.

The impact of alternate level of care on access block and operational strategies to reduce emergency wait times: a multi-center simulation study.

Objectives: Lengthy emergency department (ED) wait times caused by hospital access block is a growing concern for the Canadian health care system. Our objective was to quantify the impact of alternate-level-of-care on hospital access block and evaluate the likely effects of multiple interventions on ED wait times.

Methods: Discrete-event simulation models were developed to simulate patient flows in EDs and acute care of six Canadian hospitals.