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Mobile health clinics in a rural setting: a cost analysis and time motion study of La Clínica in Oregon, United States.
BMC Health Serv Res
January 2025
University of California, San Francisco Institute for Health & Aging, #123K, 490 Illinois Street, San Francisco, CA, 94158, USA.
Background: Mobile Health Clinics (MHCs) are an alternate form of healthcare delivery that may ameliorate current rural-urban health disparities in chronic diseases and have downstream impacts on the health system by reducing costs. Evaluations of providers' time allocation on MHCs are scarce, hindering knowledge transfer related to MHC implementation strategies.
Methods: Retrospective economic cost was assessed using business ledgers and expert assessments in 2023 US Dollar (USD) from 2022 to 2023.
Better Outcomes for Ovarian Cancer Associated With the Detection of Anti-EBV TCR CDR3s: Potential Relevance to Diffuse Large B-Cell Lymphoma.
Am J Reprod Immunol
January 2025
Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Objectives: Given the ongoing challenges regarding the specific roles of viral infections in cancer etiology, or as cancer co-morbidities, this study assessed potential associations between anti-viral, T-cell receptor (TCR) complementarity domain region-3 (CDR3s), and clinical outcomes for ovarian cancer.
Methods: TCR CDR3s were isolated from ovarian cancer specimens for a determination of which patients had anti-viral CDR3s and whether those patients had better or worse outcomes.
Results: Analyses revealed that patients with exact matches of anti-Epstein-Barr virus (EBV) CDR3 amino acid sequences exhibited better outcomes for both overall and disease-specific survival.
Leveraging dynamics informed neural networks for predictive modeling of COVID-19 spread: a hybrid SEIRV-DNNs approach.
Sci Rep
January 2025
Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
A dynamics informed neural networks (DINNs) incorporating the susceptible-exposed-infectious-recovered-vaccinated (SEIRV) model was developed to enhance the understanding of the temporal evolution dynamics of infectious diseases. This work integrates differential equations with deep neural networks to predict time-varying parameters in the SEIRV model. Experimental results based on reported data from China between January 1, and December 1, 2022, demonstrate that the proposed dynamics informed neural networks (DINNs) method can accurately learn the dynamics and predict future states.
View Article and Find Full Text PDFSystematic Molecular Influenza A/B Screening Upon Hospital Admission in Belgium, January-April 2022: Positivity Ratios and Viral Loads According to Symptomatology, Age, and Vaccination Status.
J Med Virol
January 2025
Department of Laboratory Medicine, Ziekenhuis aan de Stroom, Antwerp, Belgium.
Three hospitals implemented molecular point-of-care tests (POCTs) to screen patients for SARS-CoV-2 infection upon admission during the 2021/2022 influenza season, which in Belgium lasted from January to April 2022. The samples were simultaneously tested for influenza A/B. Influenza positivity at admission was examined in relation to patient characteristics and symptomatology.
View Article and Find Full Text PDFComparative Evaluation of Three Rapid Influenza Diagnostic Tests for Detection of Influenza A and B Viruses Using RT-PCR as Reference Method.
J Med Virol
January 2025
Radiology department, Tianjin Fifth Central Hospital, Tianjin, China.
To evaluate the performance of three rapid influenza diagnostic tests (RIDTs) for detecting influenza A and B viruses compared to RT-PCR. A total of 291 subjects with acute respiratory infections were enrolled. Respiratory specimens were collected and tested for influenza A and B viruses using three RIDTs.
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