Medicine and Health Sciences Commons^™

The Prevalence Of Sars-Cov-2 Antibodies Within The Community Of A Private Tertiary University In The Philippines: A Serial Cross Sectional Study, Lourdes S. Tanchanco, Jenica Clarisse Y. Sy, Angel Belle C. Dy, Myla D. Levantino, Arianna Maever L. Amit, John Wong, Kirsten Angeles, John Paul Vergara

Ateneo School of Medicine and Public Health Publications

The COVID-19 pandemic has caused a public health emergency in all sectors of society, including universities and other academic institutions. This study determined the seroprevalence of SARS-CoV-2 antibodies among administrators, faculty, staff, and students of a private tertiary academic institution in the Philippines over a 7 month period. It employed a serial cross-sectional method using qualitative and quantitative COVID-19 antibody test kits. A total of 1,318 participants were tested, showing 47.80% of the study population yielding IgG antibodies to SARS-CoV-2 virus. A general increase in seroprevalence was observed from June to December 2021, which coincided with the vaccine roll-out of …

A Multi-Task Gaussian Process Self-Attention Neural Network For Real-Time Prediction Of The Need For Mechanical Ventilators In Covid-19 Patients, Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang

Student and Faculty Publications

OBJECTIVE: The Coronavirus Disease 2019 (COVID-19) pandemic has overwhelmed the capacity of healthcare resources and posed a challenge for worldwide hospitals. The ability to distinguish potentially deteriorating patients from the rest helps facilitate reasonable allocation of medical resources, such as ventilators, hospital beds, and human resources. The real-time accurate prediction of a patient's risk scores could also help physicians to provide earlier respiratory support for the patient and reduce the risk of mortality.

METHODS: We propose a robust real-time prediction model for the in-hospital COVID-19 patients' probability of requiring mechanical ventilation (MV). The end-to-end neural network model incorporates the Multi-task …

Disparities In Awareness Of And Willingness To Participate In Cancer Clinical Trials Between African American And White Cancer Survivors, Gaurav Kumar, Jungyoon Kim, Paraskevi A. Farazi, Hongmei Wang, Dejun Su

Journal Articles: Epidemiology

BACKGROUND: Cancer clinical trials (CCTs) are essential for cancer care, yet the evidence is scarce when it comes to racial disparities in CCT participation among cancer survivors in the Midwest. This study aimed to 1) assess disparities in the awareness of and willingness to participate in CCTs between African American and White cancer survivors; and 2) compare perceptions about CCTs between the two racial groups.

METHODS: The study was based on cross-sectional data from the survey "Minority Patient Participation in Cancer Clinical Trials" that collected information from 147 Black and White cancer survivors from Nebraska between 2015 and 2016. Chi-square …

Incidence Rate Of Psychiatric Disorders In 2020: The Pivotal Role Played By Sars-Cov-2 Infection, Antonio L Teixeira, Regina M Hansen, Joseph S Wozny, Caroline M Schaefer, Rodrigo Machado-Vieira, Lokesh Shahani, Scott D Lane, Jair C Soares, Trudy M Krause

Student and Faculty Publications

IMPORTANCE: The Coronavirus Disease (COVID-19) pandemic has significantly impacted mental health outcomes. While the frequency of anxiety and depressive symptoms has increased in the whole population, the relationship between COVID-19 and new psychiatric diagnoses remains unclear.

OBJECTIVE: to compare the population incidence rate of emergence of de novo psychiatric disorders in 2020 compared to the previous years, and to compare the incidence rate of new psychiatric disorder diagnoses between people with vs without COVID-19.

DESIGN, SETTING, AND PARTICIPANTS: This study utilized administrative claims data from the Clinformatics® Data Mart database, licensed from Optum®. The study is a cross-sectional analysis that …