Respiratory Tract Diseases Commons^™

“So Many Extra Safety Layers:” Virtual Service Provision And Implementing Social Distancing In Interpersonal Violence Service Agencies During Covid-19, Rachel J Voth Schrag, Sarah Leat, Bethany Backes, Saltanat Childress, Leila Wood

Faculty, Staff and Student Publications

The coronavirus pandemic necessitated rapid shifts in approach for service providers working with survivors of interpersonal violence. To reduce the spread of the virus, providers and agencies implemented a rapid and unplanned expansion of virtual services while also developing new protocols to support safe and socially distant in-person services. To understand how these shifts have impacted victim service professionals and the survivors they serve, to provide guidance for on-going efforts, and to inform planning for future public health emergencies, this study asks the question: What approaches did the interpersonal violence workforce use to address social distancing needs during COVID-19? Semi-structured …

Modeling The Spread Of Covid-19 In Spatio-Temporal Context, S.H. Sathish Indika, Norou Diawara, Hueiwang Anna Jeng, Bridget D. Giles, Dilini S.K. Gamage

Mathematics & Statistics Faculty Publications

This study aims to use data provided by the Virginia Department of Public Health to illustrate the changes in trends of the total cases in COVID-19 since they were first recorded in the state. Each of the 93 counties in the state has its COVID-19 dashboard to help inform decision makers and the public of spatial and temporal counts of total cases. Our analysis shows the differences in the relative spread between the counties and compares the evolution in time using Bayesian conditional autoregressive framework. The models are built under the Markov Chain Monte Carlo method and Moran spatial correlations. …

Trends In Disease Severity Among Critically Ill Children With Severe Acute Respiratory Syndrome Coronavirus 2: A Retrospective Multicenter Cohort Study In The United States, Catherine E Ross, Jeffrey P Burns, Anne V Grossestreuer, Pallav Bhattarai, Christine A Mckiernan, Jennifer D Franks, Sonja Lehmann, Jill L Sorcher, Matthew P Sharron, Kitman Wai, Haitham Al-Wahab, Konstantinos Boukas, Mark W Hall, George Ru, Anita I Sen, Hariprem R Rajasekhar, Lawrence C Kleinman, John K Mcguire, Amy S Arrington, Flor Munoz-Rivas, Christopher M Osborne, Lara S Shekerdemian

Faculty, Staff and Student Publications

OBJECTIVES: To describe trends in critical illness from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children over the course of the COVID-19 pandemic. We hypothesized that PICU admission rates were higher in the Omicron period compared with the original outbreak but that fewer patients needed endotracheal intubation.

DESIGN: Retrospective cohort study.

SETTING: This study took place in nine U.S. PICUs over 3 weeks in January 2022 (Omicron period) compared with 3 weeks in March 2020 (original period).

PATIENTS: Patients less than or equal to 21 years old who screened positive for SARS-CoV-2 infection by polymerase chain reaction or …

An Xai Approach For Covid-19 Detection Using Transfer Learning With X-Ray Images, Salih Sarp, Ferhat Ozgur Catak, Murat Kuzlu, Umit Cali, Huseyin Kusetogullari, Yanxiao Zhao, Gungor Ates, Ozgur Guler

Engineering Technology Faculty Publications

The coronavirus disease (COVID-19) has continued to cause severe challenges during this unprecedented time, affecting every part of daily life in terms of health, economics, and social development. There is an increasing demand for chest X-ray (CXR) scans, as pneumonia is the primary and vital complication of COVID-19. CXR is widely used as a screening tool for lung-related diseases due to its simple and relatively inexpensive application. However, these scans require expert radiologists to interpret the results for clinical decisions, i.e., diagnosis, treatment, and prognosis. The digitalization of various sectors, including healthcare, has accelerated during the pandemic, with the use …