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The feasibility of using machine learning to predict COVID-19 cases.
Int J Med Inform
January 2025
School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom. Electronic address:
Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.
View Article and Find Full Text PDFToward Product Safety and Circularity: Understanding the Information Structure of Global Databases on Chemicals in Products and Articles.
Environ Sci Technol
January 2025
RECETOX, Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czechia.
Access to information about chemicals in products and articles is critical for supporting enforcement of chemical regulations, assessing risks from chemicals, allowing informed consumer choices, and enabling product circularity. In this work, we identified and evaluated available databases (DBs) on chemicals in products and articles from the literature using a defined protocol and from European national market surveillance authorities, nongovernmental agencies, and industrial sector groups using questionnaires. This is the first comprehensive review of DBs that provide information about chemicals in products and articles.
View Article and Find Full Text PDFInsights of community pharmacists on antibiotic misuse during the COVID-19 pandemic in the northern region of Cyprus.
J Infect Dev Ctries
December 2024
Faculty of Medicine, Eastern Mediterranean University, Famagusta, N. Cyprus via Mersin 10, Turkey.
Introduction: The global healthcare system faced unparalleled challenges during the coronavirus disease 2019 (COVID-19) pandemic, potentially reshaping antibiotic usage trends. This study aimed to evaluate the knowledge, perceptions, and observations of community pharmacists concerning antibiotic utilization during and after the pandemic; and offer crucial insights into its impact on antibiotic usage patterns and infection dynamics.
Methodology: This cross-sectional study involved 162 community pharmacists in Northern Cyprus.
Semaglutide and laparoscopic sleeve gastrectomy in an adolescent with congenital adrenal hyperplasia due to 21-hydroxylase: a case report.
J Med Case Rep
January 2025
Department of Surgery, Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles and Keck School of Medicine of USC, Los Angeles, CA, USA.
Background: Classic congenital adrenal hyperplasia, primarily due to 21-hydroxylase deficiency, leads to impaired cortisol and aldosterone production and excess adrenal androgens. Lifelong glucocorticoid therapy is required, often necessitating supraphysiological doses in youth to manage androgen excess and growth acceleration. These patients experience higher obesity rates, hypertension, and glucose metabolism issues, complicating long-term health management.
View Article and Find Full Text PDFPredicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques.
Sci Rep
January 2025
Department of Wildlife Fisheries and Aquaculture, College of Forest Resources, Mississippi State University, Mississippi State, MS, 39762-9690, USA.
This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. Understanding these changes is crucial for mitigating adverse environmental impacts and promoting sustainable development. The main goal is to evaluate historical LULC changes from 1994 to 2024 and forecast future trends for 2034 and 2044 utilizing the CA-Markov hybrid model combined with GIS methodologies.
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