Suchergebnisse

As three-dimensional auditory displays become more prevalent, there will be an increasing need to understand the interactions that can be expected among spatially separated sounds. A two-alternative, forced-choice, adaptive staircase procedure was used to measure the detectability of a 165-ms click-train signal masked by a continuous Gaussian noise, as a function of the spatial separation between the signal and the masker in the free field. Horizontal separations within the horizontal plane and vertical separations within the median plane were examined for low-, mid-, and high-frequency stimuli. Masking was reduced by as much as 18 dB when the signal and masker were separated horizontally. Sizable reductions in masking (6-9 dB) were also observed for vertical separation. The largest reductions in masking were observed for the high-frequency stimuli. The data are compared with the results of headphone-based studies of binaural masking. Implications for the design of auditory displays are considered.

INTRODUCTION: Academic health centers (AHCs) play critical roles in population health by providing health care, conducting population health research, and providing population health training and education. This publication describes an interactive, multipart, case-based session targeted at AHC executives, faculty, and administrators about population health initiatives at AHCs and how the AHC structure can be leveraged to promote population health. METHODS: This 90-minute virtual session was conducted during the Association of Academic Health Centers' 2020 annual meeting. The session opened with 5-minute, Ignite-style presentations showcasing population health innovations. Next, in small groups, participants discussed a case introducing a fictional AHC charged with assisting its local government's population health efforts. Participants self-selected into one of four small groups (analytics, education and training, community engagement, and implementation) and were provided additional case content and tailored prompts. In the large group, participants debriefed their discussions. Participants completed a postsession survey. RESULTS: Forty-six individuals from 31 AHCs participated. Eighteen participants completed the survey. Sixteen respondents (89%) agreed the session was valuable and provided ideas for implementation at their AHC. Fifteen participants (83%) indicated that they planned to follow up with their colleagues regarding how to leverage the AHC structure to improve population health. DISCUSSION: This session provides an interactive forum to discuss population health in the context of an AHC and examine how its structure can facilitate population health. While offered at a conference, the session can also be implemented at a single AHC to foster local understanding of population health and inform future initiatives.

The coronavirus disease pandemic has highlighted the key role epidemiologic models play in supporting public health decision-making. In particular, these models provide estimates of outbreak potential when data are scarce and decision-making is critical and urgent. We document the integrated modeling response used in the US state of Utah early in the coronavirus disease pandemic, which brought together a diverse set of technical experts and public health and healthcare officials and led to an evidence-based response to the pandemic. We describe how we adapted a standard epidemiologic model; harmonized the outputs across modeling groups; and maintained a constant dialogue with policymakers at multiple levels of government to produce timely, evidence-based, and coordinated public health recommendations and interventions during the first wave of the pandemic. This framework continues to support the state's response to ongoing outbreaks and can be applied in other settings to address unique public health challenges.