Medicine and Health Sciences Commons^™

Ut Health Rgv Covid-19 Testing Report, Jefferson T. R. Chandler, Beatriz Tapia

Research Colloquium

Purpose: This health surveillance project's goal was to organize de-identified data received from UT Health RGV with the intent to provide timely reporting to testing sites and health affairs directors. We aimed to explore how testing rates differ between counties, testing sites and age groups from March 30 through August 7, 2020. We looked at different demographics and compared the positivity rates for each testing site. For this report, we will detail information for the pediatric population (ages 0-18).

Materials and Methods: A codebook and database were created with information about COVID-19 test data to formulate reports to the testing …

Epidemiological Algorithm And Early Molecular Testing To Prevent Covid-19 Outbreaks In A Mexican Oncologic Center, Moises González-Escamilla, Diana C. Peréz-Ibave, Carlos H. Burciaga-Flores, Vanessa N. Ortiz-Murillo, Genaro A. Ramírez-Correa, Patricia Rodríguez-Niño, Rafael Piñeiro-Retif, Hazyadee F. Rodríguez-Gutiérrez, Orlando D. Solis-Coronado, Juan F. González-Guerrero, Oscar Vidal-Gutiérrez, María Lourdes Garza-Rodríguez

Research Symposium

Introduction: Prevention strategies and detection of latent COVID-19 infections in oncology staff and oncologic patients are essential to prevent outbreaks in a cancer center. In this study, we used two statistical predictive models in oncology staff and patients from the radiotherapy area to prevent outbreaks and detect COVID-19 cases.

Methods: Staff and patients answered a questionnaire (electronic and paper surveys, respectively) with clinical and epidemiological information. The data was collected through two online survey tools: Real-Time Tracking (R-Track) and Summary of Factors (S-Facts). According to the algorithm's models, cut-off values were established. SARS-CoV-2 qRT-PCR tests confirmed the algorithm's positive individuals. …

Clinical Characteristics And Risk Factors For Mortality During The 'First Wave' Of Covid-19 In Reynosa, Tamaulipas, Luis G. Vargas Garcia, Francisco E. Díaz Cisneros, Antonio Gutiérrez Sierra, Juan Rosales Martínez, Manlio F. Lara Duck, Netzahualcoyotl Mayek Pérez

Research Symposium

Background: The COVID-19 pandemic has impacted public health in Mexico. As of February 2020, there have been at least four "waves" of contagion that resulted in 5.82 million positive cases and more than 325 thousand deaths. At the beginning of the COVID-19 pandemic, hospital and population-based information was available, frequently with non-specific symptoms. Little was known about the risk factors for mortality in specific conditions. We described the clinical characteristics of patients with COVID-19 in Reynosa, Tamaulipas during 2020 and identified the risk factors for mortality.

Methods: The COVID-19 cases registered from March to November 2020 in Reynosa were divided …

Association Between Race/Ethnicity And Covid-19 Disease Outcomes In The United States: A Qualitative Systematic Review Of The Literature, Jacob Smith

MEDI 9331 Scholarly Activities Clinical Years

Background/Objective: As studies have shown disparities in coronavirus disease-19 prevalence and severity, we sought to evaluate differences in outcomes of acute SARS-CoV-2 infection by race/ethnicity.

Design: Systematic review

Data Source: Studies from PubMed were included.

Review methods: Articles published in English language from January 1, 2019 through March 22, 2020. Studies included were observational studies that examined racial or ethnic disparities in SARS-CoV-2 infection outcomes in the United States. One reviewer performed data extraction.

Results: Out of a possible 1,944 articles, 99 observational studies (82 individual-level and 17 population-level) were included. Differential rates of hospitalization or otherwise severe illness …