COVID-19 Trends Among Adults with Intellectual and Developmental Disabilities (IDD) Living in Residential Group Homes in New York State through July 10, 2020

While COVID-19 case rates increased between April 10, 2020 and July 10, 2020 for both groups, from April 10 to May 1, the case rate increased by 2.5 times for people with IDD, from 2,225 to 5,544 cases per 100,000, but only increased by 1.6 times for New York State, from 886 to 1,584 cases per 100,000

Accidental Drownings are Predictable and Preventable

Drowning is the 3rd leading cause of unintentional injury-related death in the world for all age groups, with one third of fatal and nonfatal drownings occurring with the hours of 4pm and 8pm. This data slice gives helpful advice on how to stay safe while cooling off

Cultivating a Community of STEM Polymaths at UNG

The University of North Georgia (UNG), Dahlonega, suffers from high attrition of STEM majors and low STEM graduation rates. In response to this challenge, a transdisciplinary (TD) team of UNG STEM faculty – from biology, chemistry, mathematics, and physics - has designed and developed hands-on laboratory experiments that employ empirical, interpretive, critical, and transdisciplinary research methodologies. The TD laboratory curriculum exposes undergraduate STEM students to cutting-edge techniques and new scientific frontiers, which will foster creativity and passion about scientific research, help undergraduates develop skills in analytical thinking and experimental design, and improve their technological fluency. In turn, this will improve persistence by stimulating student interest and participation in STEM. We will present examples of the transdisciplinary experiments that our students are engaging in and provide interactive activities to expose an interdisciplinary audience to the substantive scientific questions and real-world observations of the TD lab at UNG

Medical Visits Related to Firearm Injuries Increased During COVID-19

When COVID-19 began its initial wave in the United States in March 2020, gun sales surged across the country. The increase in first time gun owners, stress, anxiety, and lack of safety training courses has corresponded with a significant increase in firearm injuries, with especially large increases in the Spring and Summer of 2020 among males, non-Hispanic Blacks, ages 20 to 29, and residents of the Midwest and South. Given the especially large rise in unintentional firearm injuries, policymakers should consider interventions that increase education, training, and regulation over safe firearm access and storage

A Transdisciplinary Laboratory Course Increases STEM Retention

STEM retention is a national challenge. Recent literature suggests that students leave STEM for many reasons including lack of context, lack of academic preparedness for entering college, and challenges with quantitative reasoning. These observations compelled us to design an introductory, transdisciplinary STEM lab course which we describe herein. This course was designed to integrate the disciplines of biology, chemistry, physics, and mathematics with activities that engage students in real-world, inquiry-based exercises and help students develop quantitative reasoning skills. Assessment showed that students in this STEM lab have higher STEM retention rates than those in equivalent disciplinary courses. The largest gains in STEM retention were seen in the 4th semester for students who took the lab as underclassmen. Additionally, student surveys indicated that students found the context of the lab compelling. In contrast, there were no significant differences in gains in quantitative literacy and reasoning or GPA among STEM lab students and students in discipline-specific labs. These results suggest that students’ engagement in applications of STEM with context might be more important for increasing retention than just focusing on academic ability alone

The Daily Patterns of Emergency Medical Events

This study examines population level daily patterns of time-stamped emergency medical service (EMS) dispatches to establish their situational predictability. Using visualization, sinusoidal regression, and statistical tests to compare empirical cumulative distributions, we analyzed 311,848,450 emergency medical call records from the U.S. National Emergency Medical Services Information System (NEMSIS) for years 2010 through 2022. The analysis revealed a robust daily pattern in the hourly distribution of distress calls across 33 major categories of medical emergency dispatch types. Sinusoidal regression coefficients for all types were statistically significant, mostly at the p \u3c 0.0001 level. The coefficient of determination ($R^2$) ranged from 0.84 and 0.99 for all models, with most falling in the 0.94 to 0.99 range. The common sinusoidal pattern, peaking in mid-afternoon, demonstrates that all major categories of medical emergency dispatch types appear to be influenced by an underlying daily rhythm that is aligned with daylight hours and common sleep/wake cycles. A comparison of results with previous landmark studies revealed new and contrasting EMS patterns for several long-established peak occurrence hours--specifically for chest pain, heart problems, stroke, convulsions and seizures, and sudden cardiac arrest/death. Upon closer examination, we also found that heart attacks, diagnosed by paramedics in the field via 12-lead cardiac monitoring, followed the identified common daily pattern of a mid-afternoon peak, departing from prior generally accepted morning tendencies. Extended analysis revealed that the normative pattern prevailed across the NEMSIS data when re-organized to consider monthly, seasonal, daylight-savings vs civil time, and pre-/post- COVID-19 periods. The predictable daily EMS patterns provide impetus for more research that links daily variation with causal risk and protective factors. Our methods are straightforward and presented with detail to provide accessible and replicable implementation for researchers and practitioners

Sources of coronavirus disease 2019 (COVID-19) exposure among healthcare personnel (HCP) in a large tertiary-care medical center

Abstract Objectives: To describe the burden and sources of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection among healthcare personnel (HCP), such as occupational role, work setting, vaccination status, and patient contact between March 2020 through May 2022. Design: Active prospective surveillance. Setting: Large tertiary-care teaching institution with inpatient and ambulatory care services. Results: We identified 4,430 cases among HCPs between March 1, 2020, through May 31, 2022. The median age of this cohort was 37 years (range, 18–89); 2,840 (64.1%) were female; and 2,907 (65.6%) were white. Most of the infected HCP were in the general medicine department, followed by ancillary departments and support staff. Less than 10% of HCP SARS-CoV-2–positive cases worked on a COVID-19 unit. Of the reported SARS-CoV-2 exposures, 2,571 (58.0%) were from an unknown source, 1,185 (26.8%) were from a household source, 458 (10.3%) were from a community source, and 211 (4.8%) were healthcare exposures. A higher proportion of cases with reported healthcare exposures was vaccinated with only 1 or 2 doses, whereas a higher proportion of cases with reported household exposure was vaccinated and boosted, and a higher proportion of community cases with reported and unknown exposures were unvaccinated (P < .0001). HCP exposure to SARS-CoV-2 correlated with community-level transmission regardless of type of reported exposure. Conclusions: The healthcare setting was not an important source of perceived COVID-19 exposure among our HCPs. Most HCPs were not able to definitively identify the source of their COVID-19, followed by suspected household and community exposures. HCP with community or unknown exposure were more likely to be unvaccinated

A Roadmap for HEP Software and Computing R&D for the 2020s

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade.Peer reviewe

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

Quick and Clean: LCME Scientific Method Training Without a Teaching Laboratory

This exercise satisfies the Liaison Committee on Medical Education Standard 7.3 for medical student training in the scientific method. The students are challenged, individually and in small groups, to state and test hypotheses based on real patient data concerning risk factors for the development of hepatocellular carcinoma