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Epidemiology is the study and analysis of the distribution (who, when, and where), patterns and determinants of health and disease conditions in a defined population.. It is a cornerstone of public health, and shapes policy decisions and evidence-based practice by identifying risk factors for disease and targets for preventive healthcare.
Epidemiological (and other observational) studies typically highlight associations between exposures and outcomes, rather than causation. While some consider this a limitation of observational research, epidemiological models of causation (e.g. Bradford Hill criteria) [7] contend that an entire body of evidence is needed before determining if an association is truly causal. [8]
The majority of the literature on the epidemiological transition that was published since these seminal papers confirms the context-specific nature of the epidemiological transition: while there is an overall all-cause mortality decline, the nature of cause-specific mortality declines differs across contexts.
Natural history of disease is one of the major elements of descriptive epidemiology. [2] As an example, the cartilage of the knee, trapeziometacarpal and other joints deteriorates with age in most humans (osteoarthritis). There are no disease-modifying treatments for osteoarthritis---no way to slow, arrest, or reverse this pathophysiological ...
In the field of epidemiology, the causal mechanisms responsible for diseases can be understood using the causal pie model.This conceptual model was introduced by Ken Rothman to communicate how constellations of component causes can lead to a sufficient cause to lead to a condition of interest and that reflection on these sets could improve epidemiological study design.
There is broad agreement on the relative strength of large-scale, epidemiological studies. More than 80 different hierarchies have been proposed for assessing medical evidence . [ 1 ] The design of the study (such as a case report for an individual patient or a blinded randomized controlled trial ) and the endpoints measured (such as survival ...
The Reed–Frost model is a mathematical model of epidemics put forth in the 1920s by Lowell Reed and Wade Hampton Frost, of Johns Hopkins University. [1] [2] While originally presented in a talk by Frost in 1928 and used in courses at Hopkins for two decades, the mathematical formulation was not published until the 1950s, when it was also made into a TV episode.
Globally, an estimated 537 million adults are living with diabetes, according to 2019 data from the International Diabetes Federation. [1] Diabetes was the 9th-leading cause of mortality globally in 2020, attributing to over 2 million deaths annually due to diabetes directly, and to kidney disease due to diabetes. [2]