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A framework towards implementation of sequencing for antimicrobial-resistant and other health-care-associated pathogens.
Lancet Infect Dis
January 2025
Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Antimicrobial resistance continues to be a growing threat globally, specifically in health-care settings in which antimicrobial-resistant pathogens cause a substantial proportion of health-care-associated infections (HAIs). Next-generation sequencing (NGS) and the analysis of the data produced therein (ie, bioinformatics) represent an opportunity to enhance our capacity to address these threats. The 3rd Geneva Infection Prevention and Control Think Tank brought together experts to identify gaps, propose solutions, and set priorities for the use of NGS for HAIs and antimicrobial-resistant pathogens.
View Article and Find Full Text PDFVisualizing multilayer spatiotemporal epidemiological data with animated geocircles.
J Am Med Inform Assoc
November 2024
Department of Computer Science, University of Maryland, College Park, MD 20742, United States.
Objective: The COVID-19 pandemic emphasized the value of geospatial visual analytics for both epidemiologists and the general public. However, systems struggled to encode temporal and geospatial trends of multiple, potentially interacting variables, such as active cases, deaths, and vaccinations. We sought to ask (1) how epidemiologists interact with visual analytics tools, (2) how multiple, time-varying, geospatial variables can be conveyed in a unified view, and (3) how complex spatiotemporal encodings affect utility for both experts and non-experts.
View Article and Find Full Text PDFScarring In Utero: An Attempt to Validate With Data Unconfounded by Migration and Medical Care.
Epidemiology
July 2024
Public Health, University of California, Irvine, CA.
Background: "Scarring in utero" posits that populations exposed to injurious stressors yield birth cohorts that live shorter lives than expected from history. This argument implies a positive historical association between period life expectancy (i.e.
View Article and Find Full Text PDFAutomated cooling tower detection through deep learning for Legionnaires' disease outbreak investigations: a model development and validation study.
Lancet Digit Health
July 2024
Centers for Disease Control and Prevention, Atlanta, GA, USA.
Background: Cooling towers containing Legionella spp are a high-risk source of Legionnaires' disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be prone to errors. We aimed to train a deep learning computer vision model to automatically detect cooling towers that are aerially visible.
View Article and Find Full Text PDFA Revised System of Radiological Protection Is Needed.
Health Phys
June 2024
Lovelace Biomedical Research Institute, Albuquerque, NM (retired).
The system of radiological protection has been based on linear no-threshold theory and related dose-response models for health detriment (in part related to cancer induction) by ionizing radiation exposure for almost 70 y. The indicated system unintentionally promotes radiation phobia, which has harmed many in relationship to the Fukushima nuclear accident evacuations and led to some abortions following the Chernobyl nuclear accident. Linear no-threshold model users (mainly epidemiologists) imply that they can reliably assess the cancer excess relative risk (likely none) associated with tens or hundreds of nanogray (nGy) radiation doses to an organ (e.
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