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http://dx.doi.org/10.1136/annrheumdis-2020-218475 | DOI Listing |
Pediatr Infect Dis J
January 2025
Department of Pediatrics, Sections of Hospital Medicine and Emergency Medicine, University of Colorado School of Medicine Aurora, Aurora, Colorado.
PLoS One
January 2025
Kaiser Permanente San Jose Psychiatry, San Jose, California, United States of America.
The COVID-19 pandemic created unprecedented challenges for social connectivity and mental health, especially during mandated shelter-in-place periods. For patients engaged in mental health treatment, the social impact of their shelter-in-place experience remains an area of active investigation. This is particularly relevant in the context of social prescribing, a growing area of clinical intervention where healthcare providers actively refer patients to local social resources or activities to enhance mental health and wellbeing.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Economics, Centre for Entrepreneurship and Spatial Economics (CEnSE), Jönköping International Business School, Jönköping, Sweden.
Background: The Swedish COVID-19 strategy aimed to protect vulnerable groups through targeted measures, categorizing individuals aged 70 and above as high-risk. This study examines the impact of such group-based risk assessments on subjective health and virus-related concerns among older adults.
Methods: We analyzed survey data from the SOM Institute for 68- to 71-year-olds in 2019 (N = 684) and 2020 (N = 726).
Antimicrob Steward Healthc Epidemiol
August 2024
Department of Medicine, Hurley Medical Center, Flint, MI, USA.
Background: This cross-sectional study aims to determine the mortality trends in patients with SARS-CoV-2 infection during the pandemic in Flint, MI.
Methods: Records from 1,663 consecutive adult patients (≥18 years of age) with confirmed SARS-CoV-2 infection, admitted and discharged from our facility from 03/2020 through 02/2022, were abstracted and analyzed. Multivariable logistic regression analysis was performed to examine the association between study explanatory variables (ie, sex, age, co-morbidities, etc.
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