Results 31 to 40 of about 2,900,150 (406)

GI Epidemiology: nutritional epidemiology [PDF]

Alimentary Pharmacology & Therapeutics, 2007
SummaryBackgroundNutritional epidemiology is the assessment of diet and its relationship to disease aetiology in populations. The choice of dietary assessment method depends on the disease pathology. Events such as cancer that are chronic and complicated by exposure time require methods that capture consumption patterns of populations over a period of ...
openaire   +3 more sources

Lessons from radiation epidemiology [PDF]

Epidemiology and Health, 2018
Radiation epidemiology has developed as a specialized field and has unique characteristics compared to the other fields of epidemiology. Radiation exposure assessment is highly quantified and health risk assessment can yield precise risks per unit dose ...
Won Jin Lee
doaj   +1 more source

NSF RESUME HPC Workshop: High-Performance Computing and Large-Scale Data Management in Service of Epidemiological Modeling [PDF]

arXiv, 2023
The NSF-funded Robust Epidemic Surveillance and Modeling (RESUME) project successfully convened a workshop entitled "High-performance computing and large-scale data management in service of epidemiological modeling" at the University of Chicago on May 1-2, 2023. This was part of a series of workshops designed to foster sustainable and interdisciplinary
arxiv  

Sensitivity Analysis in a Dengue Epidemiological Model [PDF]

Conference Papers in Mathematics, Vol. 2013, Art. ID 721406, 7 pages, 2013, 2013
Epidemiological models may give some basic guidelines for public health practitioners, allowing to analyze issues that can influence the strategies to prevent and fight a disease. To be used in decision-making, however, a mathematical model must be carefully parameterized and validated with epidemiological and entomological data.
arxiv   +1 more source

Epidemiology of Type 2 Diabetes – Global Burden of Disease and Forecasted Trends

Journal of Epidemiology and Global Health, 2019
The rising burden of type 2 diabetes is a major concern in healthcare worldwide. This research aimed to analyze the global epidemiology of type 2 diabetes.
Moien A. B. Khan, M. J. Hashim, J. King, R. Govender, H. Mustafa, Juma Al Kaabi   +5 more
semanticscholar   +1 more source

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies

PLoS Medicine, 2007
Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalisability.
E. Von Elm, D. Altman, M. Egger, S. Pocock, P. Gøtzsche, J. Vandenbroucke   +5 more
semanticscholar   +2 more sources

Clinical Practice Guidelines for Clostridium difficile Infection in Adults and Children: 2017 Update by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA).

Clinical Infectious Diseases, 2018
A panel of experts was convened by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA) to update the 2010 clinical practice guideline on Clostridium difficile infection (CDI) in adults.
L. C. Mcdonald, D. Gerding, Stuart Johnson, J. Bakken, Karen C. Carroll, Susan E. Coffin, E. Dubberke, K. Garey, Carolyn V Gould, C. Kelly, V. Loo, Julia Shaklee Sammons, Thomas J. Sandora, Mark H. Wilcox   +13 more
semanticscholar   +2 more sources

Risk factors related to congenital hypothyroidism: Systematic review and Meta-analysis

Journal of Biostatistics and Epidemiology
Introduction: Congenital endocrine disorders have a global impact on the morbidity and mortality of children and are a public health problem that heavily affects society and the daily lives of affected children and their families.
Boutaina Boumehdi, Mochhoury Latifa, Elkhoudri Noureddine, Chahboune Mohamed, Elyahyaoui Sofia, Chebabe Milouda   +5 more
doaj   +1 more source

Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19 [PDF]

, 2020
Epidemiology models are central in understanding and controlling large scale pandemics. Several epidemiology models require simulation-based inference such as Approximate Bayesian Computation (ABC) to fit their parameters to observations. ABC inference is highly amenable to efficient hardware acceleration.
arxiv   +1 more source

روزنگار اپیدمیولوژی ایران در اپیدمی کرونا ویروس؛ 27 اسفند 1398

طب اورژانس ایران, 2019
این روزنگار به همت کمیته اپیدمیولوژی کووید-۱۹ وزارت بهداشت، درمان وآموزش پزشکی تهیه شده است.
National Committee on COVID-19 Epidemiology
doaj   +1 more source