In response to the global SARS-CoV-2 transmission pandemic, the Sandia National Laboratories Rapid Lab-Directed Research and Development (LDRD) COVID-19 initiative, in partnership with a multi-laboratory CARES Act research project, deployed a multi-physics, droplet-laden, turbulent low-Mach simulation tool to model pathogen-containing water droplets that emanate from synthetic human coughing and breathing events. A high-fidelity, low-Mach computational fluid dynamics (CFD) simulation tool that includes evaporating droplets and variable-density, buoyant turbulent flow coupling is well-suited to ascertain transmission probability and supports science-based risk mitigation methods development for airborne infectious diseases such as COVID-19. In this seminar, a description of common transmission pathways for viral infection will be overviewed and highlights how CFD represents a viable tool to support risk quantification and mitigation. The presented work will concentrate on droplet disposition distances that are driven from the pulsed inflow physics description of coughing events in addition to transport distances of the pathogen-laced aerosol plume. A complete overview of the numerical methodology will be provided. Credibility of the simulation tool will be established based on validation techniques that compare experimentally determined droplet evaporation rates and buoyant jet dispersal to simulations. An outdoor open-space configuration including a kneeling humanoid figure that mimics the recent open-space social distance strategy of San Francisco is presented that exercises a dose-response model, which is based on previous SARS coronavirus (SARS-CoV) data, to establish relative risk at various locations subjected to various crosswinds.