J Public Health Manag Pract
November 2023
Rapid identification and management of close contacts is an important component of an effective university mitigation strategy for highly contagious infectious diseases such as measles and coronavirus disease-2019 (COVID-19). Institutions of higher education must plan for an associated large influx of calls that can overwhelm standard student health and local public health operations. In fall 2020, a large state public university's Department of Student Health and Wellness created a dedicated exposure call center (ECC), in close collaboration with the local public health department, to quickly assess students who learned of a COVID-19 exposure outside of the formal contact tracing process.
View Article and Find Full Text PDFTo optimize healthcare for gender-diverse students at a large, public university's Student Health and Wellness (SHW) Center. SHW professionals from medicine, gynecology, health promotion, counseling, psychiatry, and disability services developed a multidisciplinary gender-diverse care team (GDCT) in 2016. The GDCT's team-based design was created to support a diverse student body and provide extra resources to a vulnerable population, ensuring students engage fully in the University.
View Article and Find Full Text PDFRapid identification and management of students with COVID-19 symptoms, exposure, or disease are critical to halting disease spread and protecting public health. We describe the interdisciplinary isolation and quarantine program of a large, public university, the University of Virginia, Charlottesville. The program provided students with wraparound services, including medical, mental health, academic, and other support services during their isolation or quarantine stay.
View Article and Find Full Text PDFPurpose: To determine risk factors associated with concussion among the general collegiate population using a unique data linkage methodology.
Methods: Student health medical, counseling, and disability access service data were linked with university enrollment data to provide a comprehensive, deidentified dataset of students who sought care at the student health center for concussion from 2016-2020. Using chi-squared tests and logistic regression, characteristics of students with and without concussion were evaluated.
Persons with high-risk for severe COVID-19 illness require special attention when considering university operations during the novel coronavirus pandemic. The objective of this study was to determine the number of students who fall within a high-risk category according to Centers for Disease Control and Prevention (CDC) guidelines using linked databases. Students enrolled at a large public University and who accessed the student health center between 2016 and 2020.
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