A5071668992- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- Scientific Computing and Data Management
- Climate variability and models
- HIV Research and Treatment
- Species Distribution and Climate Change
- Precipitation Measurement and Analysis
- Health, Environment, Cognitive Aging
- Sepsis Diagnosis and Treatment
- COVID-19 and Mental Health
- Teaching and Learning Programming
- HIV/AIDS drug development and treatment
- Musculoskeletal pain and rehabilitation
- Distributed and Parallel Computing Systems
- Meteorological Phenomena and Simulations
- HIV/AIDS Research and Interventions
- Embedded Systems Design Techniques
- Field-Flow Fractionation Techniques
- Zoonotic diseases and public health
- Research Data Management Practices
- Freezing and Crystallization Processes
- Animal and Plant Science Education
- Radiation Effects in Electronics
- Cardiac Arrest and Resuscitation
- Optical Imaging and Spectroscopy Techniques
University of North Carolina at Chapel Hill
2024
Renaissance Computing Institute
2013-2024
Mount Royal University
2013-2024
Kuvempu University
2018
University of North Carolina Health Care
2013
Texas A&M Health Science Center
2013
Ohio Supercomputer Center
2006-2012
The Ohio State University
2012
University of Colorado Denver
2010
Vancouver Coastal Health
2007-2008
The COVID-19 pandemic highlighted the urgent need for robust systems to enable rapid data collection, integration, and analysis public health responses. Existing approaches often relied on disparate, non-interoperable systems, creating bottlenecks in comprehensive analyses timely decision-making. To address these challenges, U.S. National Institutes of Health (NIH) launched Rapid Acceleration Diagnostics (RADx) initiative 2020, with RADx Data Hub, a centralized repository de-identified...
Introduction Research on health care provided to clients with limited English proficiency in the United States has revealed poor satisfaction and increased use of system. This mixed‐methods study explored literacy perinatal experiences Somali Bantu women living Lewiston, Maine. The also describes development validation historietas (comic‐book style education brochure) used increase knowledge awareness why emergency cesareans may be required symptoms postpartum depression (PPD). Methods...
Sonya L. Jakubeca*, Don Carruthers Den Hoedb§, Heather Rayc & Ashok Krishnamurthyda School of Nursing and Midwifery, Mount Royal University, Calgary, AB, Canadab East Kananaskis Area, Alberta Environment Parks, Government Alberta, Cochrane, Canadac Department Physical Education Recreation Studies, Canadad Mathematics Computing, Canada
The FFT EnKF data assimilation method is proposed and applied to a stochastic cell simulation of an epidemic, based on the S-I-R spread model. combines spatial statistics ensemble filtering methodologies into localized computationally inexpensive version with very small ensemble, it further combined morphing assimilate changes in position epidemic.
In Alberta, Canada beef producers share the landscape with large carnivores where interactions can lead to negative outcomes. We had 672 Alberta complete an online survey in spring 2014 access occurrence and outcomes of cattle-carnivore interactions. found that a majority (64%) reported losses from carnivore depredation. The average rate calf depredation was at 2%, but highly variable between (ranging 0 25% loss annually). direct annual economic for respondents $2 million. This be...
Because of symptoms, people with lumbar spinal stenosis (LSS) are often inactive, and this sedentary behaviour implies risk for diseases including obesity. Research has identified body mass index as the most powerful predictor function in LSS. This suggests that may be improved by targeting weight a modifiable factor. An e-health lifestyle intervention was developed aimed at reducing fat increasing physical activity The main components include pedometer-based promotion nutrition education....
<title>Abstract</title> Accurate identification of acute coronary syndrome (ACS) in the prehospital setting is important for timely treatments that reduce damage to compromised myocardium. Current machine learning approaches lack sufficient performance safely rule-in or rule-out ACS. Our goal identify a method bridges this gap. To do so, we retrospectively evaluate two promising approaches, an ensemble gradient boosted decision trees (GBDT) and selective classification (SC) on consecutive...
Rationale: Epidemiologic studies on asthmatics and in vitro data suggest a protective role of T2 inflammation SARS-CoV-2 infection. Objective: Using large, multisite cohort, we studied clinical outcomes following infection multiple asthma endotypes examined the effects T2-directed biologics infected asthmatics.in Methods: The National COVID Cohort Collaborative (N3C) Data Enclave was used to identify stratify asthmatic patients by endotype include non-T2 asthmatics, as well exposure biologic...
We evaluated the prevalence of primary HIV drug resistance in a population 128 injection users (48 female) prior to initiating antiretroviral therapy.Genotypic and phenotypic profiles were obtained retrospectively for period June 1996 February 2007. Genotypic was defined as presence major mutation (IAS-USA table, 2007 revision), adding revertants at reverse transcriptase (RT) codon 215. Phenotypic fold change associated with >or=80% loss wild type virologic response due viral based on...
This article is a summary of the technology issues and challenges data-intensive science cloud computing as discussed in Data-Intensive Science (DIS) workshop Seattle, September 19–20, 2010.
Computer-controlled scientific instruments such as electron microscopes, spectrometers, and telescopes are expensive to purchase maintain. Also, they generate large amounts of raw processed data that has be annotated archived. Cyber-enabling these their sets using remote instrumentation cyberinfrastructures can improve user convenience significantly reduce costs. In this paper, we discuss our experiences in gathering technical policy requirements for research training purposes. Next,...
To evaluate the impact of mutations at reverse transcriptase codon 135 on treatment outcomes in patients receiving NNRTI-based antiretroviral therapy, a total 68 (30 with and 38 without baseline 135) were evaluated. Median increases CD4 counts 90 cells/mm(3) (p=0.32), virologic suppression (HIV RNA < 400 copies/mL) was achieved 16 (53%) (42%) (p=0.50), while NNRTI resistance detected 10/14 (71%) 16/22 (73%) 135, respectively. Patients who experienced breakthrough had mutation more likely to...
The COVID-19 pandemic has necessitated the development of robust tools for tracking and modeling spread virus. We present ‘K-Track-Covid,’ an interactive web-based dashboard developed using R Shiny framework, to offer users intuitive analyzing geographical temporal in South Korea. Our employs dynamic user interface elements, validated epidemiological models, integrates regional data tailored visual displays. allows customize their views by selecting specific time frames, geographic regions,...