Novel H1N1 influenza spread rapidly around the world in spring 2009. Few places were as widely affected as the New York metropolitan area. Emergency departments (EDs) in the region experienced daily visit increases in 2 distinct temporal peaks, with means of 36.8% and 60.7% over baseline in April and May, respectively, and became, in a sense, the "canary in the coal mine" for the rest of the country as we braced ourselves for resurgent spread in the fall. Biosurveillance efforts by public health agencies can lead to earlier detection, potentially forestalling spread of outbreaks and leading to better situational awareness by frontline medical staff and public health workers as they respond to a crisis, but biosurveillance has traditionally relied on manual reporting by hospital administrators when they are least able: in the midst of a public health crisis. This article explores the use of health information exchange networks, which enable the secure flow of clinical data among otherwise unaffiliated providers across entire regions for the purposes of clinical care, as a tool for automated biosurveillance reporting. Additionally, this article uses a health information exchange to assess H1N1's effect on ED visit rates and discusses preparedness recommendations and lessons learned from the spring 2009 H1N1 experience across 11 geographically distinct EDs in New York City that participate in the health information exchange.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.annemergmed.2009.11.026 | DOI Listing |
Aging adults worldwide are presenting to the emergency department with acute and subacute illness and injury confounded by often unrecognized cognitive impairment, including dementia and delirium. Conveying medical information and weighing various diagnostic and therapeutic approaches during times of emergency is difficult for all aging adults. In adult ED populations without dementia, communication is imperfect with incomplete recollection of test results, presumptive diagnoses, prescriptions, and follow-up recommendations.
View Article and Find Full Text PDFCephalalgia
January 2025
Department of Biomedicine, Health Aarhus University, Aarhus, Denmark.
Background: Familial hemiplegic migraine (FHM) types 1-3 are associated with protein-altering genetic variants in , and , respectively. These genes have also been linked to epilepsy. Previous studies primarily focused on phenotypes, examining genetic variants in individuals with characteristic FHM symptoms.
View Article and Find Full Text PDFF S Rep
December 2024
Northwell, New Hyde Park, New York.
Devices that function within a network of interconnected systems and are equipped with sensors, software, and tools designed to collect and exchange data are widely known as the Internet of Things (IoT). In recent years, the rapid growth of IoT technology has sparked significant interest in leveraging these systems to enhance healthcare delivery across various medical fields, including fertility care and assisted reproductive technology. The subset of IoT devices applied within the healthcare sector is referred to as the Internet of Medical Things (IoMT).
View Article and Find Full Text PDFJ Rural Health
January 2025
Department of Health Behavior, School of Public Health, Texas A&M University, College Station, Texas, USA.
Purpose: Although rural sexual minority men (SMM) use substances immediately before/during sex (i.e., sexualized drug use), the factors contributing to this behavior are unknown.
View Article and Find Full Text PDFNature
January 2025
Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Histone H3 monoaminylations at Gln5 represent an important family of epigenetic marks in brain that have critical roles in permissive gene expression. We previously demonstrated that serotonylation and dopaminylation of Gln5 of histone H3 (H3Q5ser and H3Q5dop, respectively) are catalysed by transglutaminase 2 (TG2), and alter both local and global chromatin states. Here we found that TG2 additionally functions as an eraser and exchanger of H3 monoaminylations, including H3Q5 histaminylation (H3Q5his), which displays diurnally rhythmic expression in brain and contributes to circadian gene expression and behaviour.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!