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| http://dx.doi.org/10.1016/j.ijso.2023.100644 | DOI Listing |
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Resilience in local Finnish health systems: how are leaders' approaches to change manifested in organisational crisis responses?
J Health Organ Manag
December 2024
Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland.
Purpose: Local health systems form the basis for health system resilience. Leaders' standpoints are crucial in advancing resilience capacities and change. This study analysed how local health system leaders' approaches to change reflect health system resilience capacities.
View Article and Find Full Text PDFHow do we engage with the lesbian, gay, bisexual, and transgender community in blood donation and research? Reflections from the Assessing Donor Variability and New Concepts in Eligibility study.
Transfusion
December 2024
Vitalant Research Institute, San Francisco, California, USA.
Background: The Assessing Donor Variability and New Concepts in Eligibility (ADVANCE) study was a multicenter cross-organizational collaboration to collect data to inform possible changes in blood donor selection criteria for men who have sex with men. Multiple recruitment approaches were used, and these may be applicable to current efforts in LGBTQ+ community engagement to recruit new blood donors.
Methods: Fieldwork for ADVANCE was a partnership between blood collection organizations (BCOs) and LGBTQ+ community organizations.
Artificial Intelligence Assessment of Chest Radiographs for COVID-19.
Clin Lymphoma Myeloma Leuk
November 2024
Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Background: The sensitivity of reverse-transcription polymerase chain reaction (RT-PCR) is limited for diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) is reported to have high sensitivity; however, given the limited availability of chest CT during a pandemic, the assessment of more readily available imaging, such as chest radiographs, augmented by artificial intelligence may substitute for the detection of the features of coronavirus disease 2019 (COVID-19) pneumonia.
Methods: We trained a deep convolutional neural network to detect SARS-CoV-2 pneumonia using publicly available chest radiography imaging data including 8,851 normal, 6,045 pneumonia, and 200 COVID-19 pneumonia radiographs.
Wastewater-based monitoring of antipyretics use during COVID-19 outbreak in China and its associated ecological risks.
Environ Res
December 2024
Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, 100871 Beijing, PR China. Electronic address:
At the end of 2022, a sudden policy shift in China triggered an unprecedented COVID-19 outbreak that led to a dramatic increase in the consumption of antipyretics. In this study, the occurrence of the two most commonly used antipyretics (ibuprofen and paracetamol) and their metabolites were analyzed in the wastewater of nine major cities in China, covering the periods before, during, and after the policy change. The remarkable surge after the policy change for ibuprofen and paracetamol reached 67 times (in Nanning) and 311 times (in Lanzhou) compared to pre-pandemic levels, respectively.
View Article and Find Full Text PDFA post-pandemic snapshot of the magnitude of COVID-19 in Brazil: A countrywide study.
Braz J Infect Dis
December 2024
University of Illinois Urbana-Champaign, Department of Kinesiology and Community Health, Urbana, IL, USA.
Objective: To outline the features of COVID-19 in Brazil through a countrywide telephone survey.
Methods: Data from the Telephone Survey of Risk Factors for Chronic Noncommunicable Diseases During the Pandemic (Covitel), a telephone survey of individuals aged 18 years or older from all macro-regions of Brazil, were used. The questionnaire included sociodemographic characteristics and outcomes related to COVID-19 infection, severity, vaccination, and use of masks.
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