Open Access. Powered by Scholars. Published by Universities.®
- Publication
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Ut Health Rgv Covid-19 Testing Report, Jefferson T. R. Chandler, Beatriz Tapia
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
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. …