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An analysis of the COVID-19 epidemic is proposed on the basis of the epiMOX dashboard (publicly accessible at https://www.epimox.polimi.it) that deals with data of the epidemic trends and outbreaks in Italy from late February 2020. Our analysis provides an immediate appreciation of the past epidemic development, together with its current trends by fostering a deeper interpretation of available data through several critical epidemic indicators. In addition, we complement the epiMOX dashboard with a predictive tool based on an epidemiological compartmental model, named SUIHTER, for the forecast on the near future epidemic evolution.
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http://dx.doi.org/10.1002/cnm.3513 | DOI Listing |
Nurs Open
September 2025
Department of Nursing, Central Taiwan University of Science and Technology, Taichung City, Taiwan.
Aim: To explore nursing students' satisfaction levels of each specific item and perceptions under the unprecedented abrupt online clinical practicum during the COVID-19 pandemic.
Design: A mixed-method design comprises a questionnaire and qualitative content analysis.
Methods: The study used purposive sampling using data from nursing students in grade 3 of a 4-year bachelor RN programme at a technological university in the north of Taiwan, compiled from May 2021 to June 2021 using an online questionnaire.
Transplantation
September 2025
Department of Surgery, NYU Langone Health, New York, NY.
Background: Disparities in posttransplant outcomes persist and worsened during the COVID-19 pandemic, disproportionately affecting individuals with social risk factors. This study examined the total and residual (ie, direct) associations between individual- and neighborhood-level income and posttransplant outcomes among deceased donor kidney transplant (DDKT) and living donor kidney transplant recipients transplanted in the United States in 2020.
Methods: This retrospective cohort study linked Organ Procurement and Transplantation Network data with estimated individual annual income from LexisNexis and neighborhood median annual household income from the American Community Survey.
Environ Health Prev Med
September 2025
Faculty of Medicine, University of the Ryukyus.
Background: Changes in socioeconomic inequalities in health behaviours following the COVID-19 pandemic remain unknown, particularly among Japanese school-aged adolescents. Therefore, in this study, we examined changes in socioeconomic inequalities in school-aged adolescents' health behaviours, including physical activity (PA), screen time (ST), sleep duration, breakfast consumption, and bowel movement frequency, before and after the pandemic.
Methods: This three-wave repeated cross-sectional study utilised data from the 2019, 2021, and 2023 National Sports-Life Survey of Children and Young People in Japan, analysing data from 766, 725, and 604 participants aged 12-18 years, respectively.
J Safety Res
September 2025
Operations Analysis and Essential Data, TriMet, United States.
Unlabelled: Recent research highlights significant shifts in travel patterns, traffic volumes, and safety measures due to the COVID-19 pandemic. Early findings suggest a nationwide decrease in crashes (22.0%) and injuries (16.
View Article and Find Full Text PDFJ Am Coll Cardiol
September 2025
Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region of China; Advanced Data Analytics for Medical Science Limited, Hong Kong Special Administrative Region of China
Background: There is no consensus for using statins for primary prevention of cardiovascular disease (CVD) and all-cause mortality in adults with type 1 diabetes mellitus (T1DM), because no randomized controlled trial has exclusively investigated statins in this population.
Objectives: In this study, the authors sought to evaluate the long-term risks and benefits of statins for primary prevention in adults with T1DM.
Methods: We performed a sequential target trial emulation comparing statin initiation vs noninitiation using UK primary care data from the IQVIA Medical Research Data database.