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Wastewater Monitoring During the COVID-19 Pandemic in the Veneto Region, Italy: Longitudinal Observational Study.
JMIR Public Health Surveill
January 2025
Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padova, Via Loredan 18, Padova, Italy, 39 049 8275384.
Background: As the COVID-19 pandemic has affected populations around the world, there has been substantial interest in wastewater-based epidemiology (WBE) as a tool to monitor the spread of SARS-CoV-2. This study investigates the use of WBE to anticipate COVID-19 trends by analyzing the correlation between viral RNA concentrations in wastewater and reported COVID-19 cases in the Veneto region of Italy.
Objective: We aimed to evaluate the effectiveness of the cumulative sum (CUSUM) control chart method in detecting changes in SARS-CoV-2 concentrations in wastewater and its potential as an early warning system for COVID-19 outbreaks.
How patient, infection, and cysticercus characteristics impact the evolution of larva in the human brain: a unique cyst-level analysis.
Parasitology
January 2025
CUNY Institute for Implementation Science in Population Health, City University of New York, NY, NY, Chile.
Lipoprotein(a) Atherosclerotic Cardiovascular Disease Risk Score Development and Prediction in Primary Prevention From Real-World Data.
Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Phase II Trial of Brain MRI Surveillance in Stage IV Breast Cancer.
Neuro Oncol
January 2025
Department of Breast Oncology, Moffitt Cancer Center.
Background: Screening of asymptomatic stage IV breast cancer with brain MRIs is currently not recommended by National Comprehensive Cancer Network (NCCN) Guidelines. The incidence of asymptomatic brain metastasis is not well documented.
Methods: The study is designed as a single arm, phase II trial, with the goal of investigating surveillance brain MRIs in neurologically asymptomatic patients with metastatic breast cancer.
Associations between specific and cumulative adverse childhood experiences, childhood obesity, and obesogenic behaviours.
Eur J Psychotraumatol
December 2025
Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
: Individuals impacted by adverse childhood experiences (ACEs) are at greater risk of developing obesity, however, few studies have prospectively measured ACEs and obesity during childhood. Associations with the adoption of obesogenic behaviours during childhood, which directly contribute to obesity are also understudied.: To examine associations between individual and cumulative ACEs, obesity, and obesogenic behaviours during childhood.
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