Professors and Practitioners: Assessing the Impact of COVID-19 in the State of Oklahoma with and Without Residents of Long-Term Care Facilities. | LitMetric
Objectives: Our analysis, which began as a request from the Oklahoma Governor for useable analysis for state decision making, seeks to predict statewide COVID-19 spread through a variety of lenses, including with and without long-term care facilities (LTCFs), accounting for rural/urban differences, and considering the impact of state government regulations of the citizenry on disease spread.
Methods: We utilize a deterministic susceptible exposed infectious resistant (SEIR) model designed to fit observed fatalities, hospitalizations, and ICU beds for the state of Oklahoma with a particular focus on the role of the rural/urban nature of the state and the impact that COVID-19 cases in LTCFs played in the outbreak.
Results: The model provides a reasonable fit for the observed data on new cases, deaths, and hospitalizations. Moreover, removing LTCF cases from the analysis sharpens the analysis of the population in general, showing a more gradual increase in cases at the start of the pandemic and a steeper increase when the second surge occurred.
Conclusions: We anticipate that this procedure could be helpful to policymakers in other states or municipalities now and in the future.
Objectives: To describe changes in respiratory syncytial virus (RSV) epidemiology, its associated clinical outcomes and predictors of severe acute lower respiratory tract infection (ALRTI) pre- and post-COVID-19.
Methods: In this retrospective cohort, we analysed data from electronic medical record of children <5 years who were hospitalized at Jordan University Hospital with RSV-associated ALRTI from 2018 to 2022.
Results: 325 inpatients with respiratory infections were included.
Background: Convenience, privacy, and cost-effectiveness associated with web-based data collection have facilitated the recent expansion of web-based survey research. Importantly, however, practical benefits of web-based survey research, to scientists and participants alike, are being overshadowed by the dramatic rise in suspicious and fraudulent survey submissions. Misinformation associated with survey fraud compromises data quality and data integrity with important implications for scientific conclusions, clinical practice, and social benefit.
Objective(s): To identify trends in HIV diagnosis disparities among subpopulations of Black/African American and White persons by selected characteristics (i.e., sex assigned at birth, age group, and region of residence) in the United States during 2017‒2021.
In addition to non-pharmaceutical interventions, antiviral drugs and vaccination are considered as the optimal solutions to control and eliminate the COVID-19 pandemic. It is necessary to couple within-host and between-host models to investigate the impact of treatment and vaccination. Hence, we propose an age-structured model, where the infection age is used to link the within-host viral dynamics and the disease dynamics at the population level.
Department of Emergency Medicine, Gold Coast Hospital and Health Service, Southport Queensland, Australia; Menzies Health Institute Queensland, Griffith University, Queensland, Australia.
Background: The SARS-CoV-2 pandemic and accompanying public health measures disrupted the normal transmission of respiratory viral pathogens. Less is known about the effects on bacterial pathogens.
Aims: To assess the impact of public health restrictions on common respiratory pathogens (influenza viruses, respiratory syncytial virus (RSV) and the following bacterial pathogens: Streptococcus pneumoniae (S.
