ABSTRACT
Objective The purpose of this study was to analyze the effect of the coronavirus disease 2019 (COVID-19) on injury prevalence in National Collegiate Athletic Association (NCAA) varsity athletes following mandatory state-issued stay-at-home orders in March 2020. A secondary objective was to evaluate the relationship between COVID-19 infection and injury prevalence. Methods The respondents were recruited during pre-participation evaluations held at a Division I university in California in the summer of 2021, as well as via emails shared by athletic trainers at the institution. Data was collected using the Qualtrics Survey Platform (Qualtrics, Provo, UT). For all questions regarding the effects of the COVID-19 pandemic, the participants were asked to compare March 2020-March 2021 ("post-pandemic") to March 2019-March 2020 ("pre-pandemic"). Injury was defined as a physical complaint or condition sustained by an athlete during participation in training or competition that resulted in at least one missed day of practice or competition. The study participants were also asked to disclose their history of laboratory-confirmed COVID-19 infection. Results One hundred forty-six respondents completed the survey, with a 72.3% response rate. Of the respondents, 33.6% (n=49) reported sustaining at least one injury in the year preceding the pandemic, whereas 45.2% (n=66) of respondents reported sustaining at least one injury within the first year of the pandemic, a 34.5% relative increase in injuries (RR=1.35; 95% CI=1.01, 1.80). There was no significant difference in the number of upper body (RR=1.64; 95% CI=0.8, 3.34; p=0.177) versus lower body (RR=1.31; 95% CI=0.94, 1.82; p=0.11) injuries before and after the pandemic onset. Thirty-two respondents reported a history of COVID-19 infection. The athletes who reported a prior COVID-19 diagnosis were no more likely than the athletes with no prior COVID-19 diagnosis to obtain an injury from March 2020 to February 2021 (p=0.85). Conclusion This study indicates that the COVID-19 pandemic and stay-at-home orders were associated with a greater risk of injury in this cohort of collegiate athletes. Interestingly, a history of laboratory-confirmed COVID-19 infection was not associated with increased risk of injury.
ABSTRACT
WashU Epigenome Browser (https://epigenomegateway.wustl.edu/browser/) is a web-based genomic data exploration tool that provides visualization, integration, and analysis of epigenomic datasets. The newly renovated user interface and functions have enabled researchers to engage with the browser and genomic data more efficiently and effectively since 2018. Here, we introduce a new integrated panel design in the browser that allows users to interact with 1D (genomic features), 2D (such as Hi-C), 3D (genome structure), and 4D (time series) data in a single web page. The browser can display three-dimensional chromatin structures with the 3D viewer module. The 4D tracks, called 'Dynamic' tracks, animatedly display time-series data, allowing for a more striking visual impact to identify the gene or genomic region candidates as a function of time. Genomic data, such as annotation features, numerical values, and chromatin interaction data can all be viewed in the dynamic track mode. Imaging data from microscopy experiments can also be displayed in the browser. In addition to software development, we continue to service and expand the data hubs we host for large consortia including 4DN, Roadmap Epigenomics, TaRGET and ENCODE, among others. Our growing user/developer community developed additional track types as plugins, such as qBed and dynseq tracks, which extend the utility of the browser. The browser serves as a foundation for additional genomics platforms including the WashU Virus Genome Browser (for COVID-19 research) and the Comparative Genome Browser. The WashU Epigenome Browser can also be accessed freely through Amazon Web Services at https://epigenomegateway.org/.
ABSTRACT
Background Although the coronavirus disease 2019 (COVID-19) pandemic had pervasive effects on the lives of individuals, its influence on the mental health of collegiate athletes remains unknown. This study aimed to assess changes in mental health and substance use in National Collegiate Athlete Association (NCAA) Division I athletes in Southern California during the COVID-19 pandemic. Methodology An online survey was created using the Qualtrics software (Qualtrics, Provo, Utah). NCAA Division I athletes in Southern California completed preseason surveys querying indices of mental health, substance use, and injury in the year before the COVID-19 pandemic (March 2019 to March 2020) and during the pandemic (March 2020 to March 2021). The athletes filled out the survey from June 2021 to September 2021. Participants were asked how likely they were to agree with the following statements: I have felt physically prepared for athletic competitions, I have been satisfied with my mental health, and I have had adequate sleep. Participants were also asked to compare their substance use between the two time periods. Sociodemographic information regarding participants' age, gender, sports team, as well as year in sport and school was also collected. Group comparison analyses were performed using Fisher's exact test. Correlations between mental health measures and other variables were examined using Spearman's correlation coefficients. Results A total of 189 athletes completed the survey (out of the 259 surveys that were started). Females were significantly less likely to feel satisfied with mental health (p < 0.01) and physically prepared for sport (p < 0.01). Across all respondents, satisfaction with mental health was positively correlated with adequate sleep (p < 0.01) and physical preparedness for sport (p < 0.01) and negatively correlated with injury (p < 0.05). There was no significant correlation between mental health status and history of COVID-19 infection (p = 0.84). The vast majority of athletes reported no significant change in substance use pre- to post-pandemic, with no differences according to sex. Conclusions The COVID-19 pandemic had a differential impact on the mental health of female versus male NCAA athletes. Mental health was correlated with sleep, physical preparedness, and being injury-free but not with a history of COVID-19 infection. Despite reports indicating increased substance use in the general population, athletes in this group reported no change in licit and illicit substance use.
ABSTRACT
Background Although the coronavirus disease 2019 (COVID-19) pandemic had pervasive effects on the lives of individuals, its influence on the mental health of collegiate athletes remains unknown. This study aimed to assess changes in mental health and substance use in National Collegiate Athlete Association (NCAA) Division I athletes in Southern California during the COVID-19 pandemic. Methodology An online survey was created using the Qualtrics software (Qualtrics, Provo, Utah). NCAA Division I athletes in Southern California completed preseason surveys querying indices of mental health, substance use, and injury in the year before the COVID-19 pandemic (March 2019 to March 2020) and during the pandemic (March 2020 to March 2021). The athletes filled out the survey from June 2021 to September 2021. Participants were asked how likely they were to agree with the following statements: I have felt physically prepared for athletic competitions, I have been satisfied with my mental health, and I have had adequate sleep. Participants were also asked to compare their substance use between the two time periods. Sociodemographic information regarding participants’ age, gender, sports team, as well as year in sport and school was also collected. Group comparison analyses were performed using Fisher’s exact test. Correlations between mental health measures and other variables were examined using Spearman’s correlation coefficients. Results A total of 189 athletes completed the survey (out of the 259 surveys that were started). Females were significantly less likely to feel satisfied with mental health (p < 0.01) and physically prepared for sport (p < 0.01). Across all respondents, satisfaction with mental health was positively correlated with adequate sleep (p < 0.01) and physical preparedness for sport (p < 0.01) and negatively correlated with injury (p < 0.05). There was no significant correlation between mental health status and history of COVID-19 infection (p = 0.84). The vast majority of athletes reported no significant change in substance use pre- to post-pandemic, with no differences according to sex. Conclusions The COVID-19 pandemic had a differential impact on the mental health of female versus male NCAA athletes. Mental health was correlated with sleep, physical preparedness, and being injury-free but not with a history of COVID-19 infection. Despite reports indicating increased substance use in the general population, athletes in this group reported no change in licit and illicit substance use.
ABSTRACT
BACKGROUND: Health care personnel (HCP) are at high risk for exposure to the SARS-CoV-2 virus. While personal protective equipment (PPE) may mitigate this risk, prospective data collection on its use and other risk factors for seroconversion in this population is needed. OBJECTIVE: The primary objectives of this study are to (1) determine the incidence of, and risk factors for, SARS-CoV-2 infection among HCP at a tertiary care medical center and (2) actively monitor PPE use, interactions between study participants via electronic sensors, secondary cases in households, and participant mental health and well-being. METHODS: To achieve these objectives, we designed a prospective, observational study of SARS-CoV-2 infection among HCP and their household contacts at an academic tertiary care medical center in North Carolina, USA. Enrolled HCP completed frequent surveys on symptoms and work activities and provided serum and nasal samples for SARS-CoV-2 testing every 2 weeks. Additionally, interactions between participants and their movement within the clinical environment were captured with a smartphone app and Bluetooth sensors. Finally, a subset of participants' households was randomly selected every 2 weeks for further investigation, and enrolled households provided serum and nasal samples via at-home collection kits. RESULTS: As of December 31, 2020, 211 HCP and 53 household participants have been enrolled. Recruitment and follow-up are ongoing and expected to continue through September 2021. CONCLUSIONS: Much remains to be learned regarding the risk of SARS-CoV-2 infection among HCP and their household contacts. Through the use of a multifaceted prospective study design and a well-characterized cohort, we will collect critical information regarding SARS-CoV-2 transmission risks in the health care setting and its linkage to the community. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/25410.
ABSTRACT
The SARS-CoV-2 pandemic led to closure of nearly all K-12 schools in the United States of America in March 2020. Although reopening K-12 schools for in-person schooling is desirable for many reasons, officials understand that risk reduction strategies and detection of cases are imperative in creating a safe return to school. Furthermore, consequences of reclosing recently opened schools are substantial and impact teachers, parents, and ultimately educational experiences in children. To address competing interests in meeting educational needs with public safety, we compare the impact of physical separation through school cohorts on SARS-CoV-2 infections against policies acting at the level of individual contacts within classrooms. Using an age-stratified Susceptible-Exposed-Infected-Removed model, we explore influences of reduced class density, transmission mitigation, and viral detection on cumulative prevalence. We consider several scenarios over a 6-month period including (1) multiple rotating cohorts in which students cycle through in-person instruction on a weekly basis, (2) parallel cohorts with in-person and remote learning tracks, (3) the impact of a hypothetical testing program with ideal and imperfect detection, and (4) varying levels of aggregate transmission reduction. Our mathematical model predicts that reducing the number of contacts through cohorts produces a larger effect than diminishing transmission rates per contact. Specifically, the latter approach requires dramatic reduction in transmission rates in order to achieve a comparable effect in minimizing infections over time. Further, our model indicates that surveillance programs using less sensitive tests may be adequate in monitoring infections within a school community by both keeping infections low and allowing for a longer period of instruction. Lastly, we underscore the importance of factoring infection prevalence in deciding when a local outbreak of infection is serious enough to require reverting to remote learning.
Subject(s)
COVID-19/transmission , Contact Tracing/methods , Pandemics , Population Surveillance/methods , Schools , Adolescent , Child , Humans , Models, Theoretical , United StatesABSTRACT
The SARS-CoV-2 pandemic led to closure of nearly all K-12 schools in the United States of America in March 2020. Although reopening K-12 schools for in-person schooling is desirable for many reasons, officials understand that risk reduction strategies and detection of cases are imperative in creating a safe return to school. Furthermore, consequences of reclosing recently opened schools are substantial and impact teachers, parents, and ultimately educational experiences in children. To address competing interests in meeting educational needs with public safety, we compare the impact of physical separation through school cohorts on SARS-CoV-2 infections against policies acting at the level of individual contacts within classrooms. Using an age-stratified Susceptible-Exposed-Infected-Removed model, we explore influences of reduced class density, transmission mitigation, and viral detection on cumulative prevalence. We consider several scenarios over a 6-month period including (1) multiple rotating cohorts in which students cycle through in-person instruction on a weekly basis, (2) parallel cohorts with in-person and remote learning tracks, (3) the impact of a hypothetical testing program with ideal and imperfect detection, and (4) varying levels of aggregate transmission reduction. Our mathematical model predicts that reducing the number of contacts through cohorts produces a larger effect than diminishing transmission rates per contact. Specifically, the latter approach requires dramatic reduction in transmission rates in order to achieve a comparable effect in minimizing infections over time. Further, our model indicates that surveillance programs using less sensitive tests may be adequate in monitoring infections within a school community by both keeping infections low and allowing for a longer period of instruction. Lastly, we underscore the importance of factoring infection prevalence in deciding when a local outbreak of infection is serious enough to require reverting to remote learning.