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Students in statistics, data science, analytics, and related fields study the theory and methodology of data-related topics. Some, but not all, are exposed to experiential learning courses that cover essential parts of the life cycle of practical problem-solving. Experiential learning enables students to convert real-world issues into solvable technical questions and effectively communicate their findings to clients. We describe several experiential learning course designs in statistics, data science, and analytics curricula. We present findings from interviews with faculty from the U.S., Europe, and the Middle East and surveys of former students. We observe that courses featuring live projects and coaching by experienced faculty have a high career impact, as reported by former participants. However, such courses are labor-intensive for both instructors and students. We give estimates of the required effort to deliver courses with live projects and the perceived benefits and tradeoffs of such courses. Overall, we conclude that courses offering live-project experiences, despite being more time-consuming than traditional courses, offer significant benefits for students regarding career impact and skill development, making them worthwhile investments. Supplementary materials for this article are available online.

BackgroundSocially vulnerable communities are at increased risk for adverse health outcomes during a pandemic. Although this association has been established for H1N1, Middle East respiratory syndrome (MERS), and COVID-19 outbreaks, understanding the factors influencing the outbreak pattern for different communities remains limited. ObjectiveOur 3 objectives are to determine how many distinct clusters of time series there are for COVID-19 deaths in 3108 contiguous counties in the United States, how the clusters are geographically distributed, and what factors influence the probability of cluster membership. MethodsWe proposed a 2-stage data analytic framework that can account for different levels of temporal aggregation for the pandemic outcomes and community-level predictors. Specifically, we used time-series clustering to identify clusters with similar outcome patterns for the 3108 contiguous US counties. Multinomial logistic regression was used to explain the relationship between community-level predictors and cluster assignment. We analyzed county-level confirmed COVID-19 deaths from Sunday, March 1, 2020, to Saturday, February 27, 2021. ResultsFour distinct patterns of deaths were observed across the contiguous US counties. The multinomial regression model correctly classified 1904 (61.25%) of the counties’ outbreak patterns/clusters. ConclusionsOur results provide evidence that county-level patterns of COVID-19 deaths are different and can be explained in part by social and political predictors.

Background: Lifting of masking restrictions at key periods during the COVID-19 pandemic may have disproportionately negatively impacted the mental health of individuals with disabilities., Objective: This study examines the prevalence of depression-related symptoms in individuals with and without disabilities preceding and following the US rollback of COVID-19 masking mandates., Methods: Pandemic-era data on reported symptoms of depression from the federal Household Pulse Survey from dates surrounding two major announcements on masking relaxations were analyzed. Possible interactions between disability status and type, age grouping, educational attainment, race/Hispanic ethnicity, and sex variables were considered., Results: Following relaxation of major masking restrictions, people with disabilities experienced elevation in depression symptom presence while people without disabilities experienced lessening in these symptoms. Differences between people with and without disabilities were significant., Conclusions: Direct causation between masking mandate relaxations and changes in symptoms of depression cannot be drawn from the available data. However, when considered with greater vulnerabilities to COVID-19 experienced by many individuals with disabilities and dismissive rhetoric surrounding masking decisions, negative feelings arising from mandate changes may have led to elevations in symptoms of depression in people with disabilities in sharp contrast to people without disabilities who may have felt relief. Findings indicate future public health decision making, even in times of crisis, should be undertaken with as much caution as possible regarding and in partnership with populations already at risk., (Copyright © 2024 Elsevier Inc. All rights reserved.)

WHAT IS KNOWN ON THE SUBJECT?: Individuals experiencing mental illness make up a significant portion of the world's population. Individuals with mental illness experience higher rates of morbidity and die on average at least a decade earlier than individuals without mental health disorders. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: Issues of stigma, diagnostic overshadowing, premature closure, inadequate workup, fear and lack of training negatively impact the care of individuals with mental illness. Issues impacting the care of individuals experiencing mental illness cross geographic and care setting boundaries. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Partnerships between physical and mental health practitioners are needed to thoroughly assess and accurately diagnose symptoms experienced by individuals with mental illness. Educational interventions can help prepare practitioners to care for individuals with mental illness. Nurses can better advocate for effective patient care by learning about the phenomenon of diagnostic overshadowing and calling attention to its occurrence. ABSTRACT: Introduction Individuals with mental illness experience significantly higher overall rates of morbidity and mortality than counterparts without mental illness. Misdiagnosis of symptoms emanating from physical illnesses as psychiatric in nature presents one important cause. Aim This integrative review explores research on healthcare professionals' misattribution of physical health symptoms to patients' comorbid psychiatric issues and seeks to identify unifying themes, shared causes, and possible strategies for addressing the issue. Method This review uses Whittemore and Knafl's 2005 integrative review methodology coupled with vetted quality appraisal tools. Results Following a systematic search of allied health, medical, psychological, sociological and general literature, 24 publications employing qualitative, quantitative, mixed and synthesis research methodologies were selected. Each study was appraised according to design, and relevant data were extracted. Discussion Themes of stigmatization, diagnostic overshadowing, incomplete medical examination, insufficient training, and fears experienced by providers and patients emerged. Implications for Practice Increased partnering between physical and mental health practitioners, continuing education, and improving patient-provider communication are key to providing equitable care. Nurses play primary roles in empathizing with patients, advocating for appropriate care and educating others on the dangers of misattributing physical symptoms to psychiatric cause., (© 2023 The Authors. Journal of Psychiatric and Mental Health Nursing published by John Wiley & Sons Ltd.)