Information Challenges Associated With Accessing and Sharing of Patient Information in Disasters: A Qualitative Analysis.

As disasters increase in frequency and severity, so too does the health impact on affected populations. Disasters exacerbate the already challenging health information-sharing landscape. A reduced capacity to access and share patient information may have negative impacts on providers' ability to care for patients individually and to address disaster health outcomes at the population level.

Integrable Atomtronic Interferometry.

High sensitivity quantum interferometry requires more than just access to entangled states. It is achieved through the deep understanding of quantum correlations in a system. Integrable models offer the framework to develop this understanding.

Adverse childhood experiences predict reaction to multiple sclerosis diagnosis.

Objective: At the time of multiple sclerosis (MS) diagnosis, identifying those at risk for poorer health-related quality of life and emotional well-being can be a critical consideration for treatment planning. This study aimed to test whether adverse childhood experiences predict MS patients' health-related quality of life and emotional functioning at time of diagnosis and initial course of disease.

Methods: We recruited patients at the time of new MS diagnosis to complete self-report surveys at baseline and a one-year follow-up.

Applying an Innovative Model of Disaster Resilience at the Neighborhood Level : The COPEWELL New York City Experience.

Community resilience is a community's ability to maintain functioning (ie, delivery of services) during and after a disaster event. The Composite of Post-Event Well-Being (COPEWELL) is a system dynamics model of community resilience that predicts a community's disaster-specific functioning over time. We explored COPEWELL's usefulness as a practice-based tool for understanding community resilience and to engage partners in identifying resilience-strengthening strategies.