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Epidemiology has its limits at the point where an inference is made that the relationship between an agent and a disease is causal (general causation) and where the magnitude of excess risk attributed to the agent has been determined; that is, epidemiology addresses whether an agent can cause disease, not whether an agent did cause a specific ...
In epidemiology, case fatality rate (CFR) – or sometimes more accurately case-fatality risk – is the proportion of people who have been diagnosed with a certain disease and end up dying of it. Unlike a disease's mortality rate, the CFR does not take into account the time period between disease onset and death. A CFR is generally expressed ...
Worldwide, mortality rates have decreased as both technological and medical advancements have led to a tremendous decrease in infectious diseases. With fewer people dying from infectious diseases, there is a rising prevalence of chronic and/or degenerative diseases in the older surviving population. [citation needed]
The epidemiology of chronic disease is diverse and the epidemiology of some chronic diseases can change in response to new treatments. In the treatment of HIV, the success of anti-retroviral therapies means that many patients will experience this infection as a chronic disease that for many will span several decades of their chronic life. [32]
[2] [3] The observation that females experience greater morbidity (diseases) but lower mortality (death) in comparison to males is paradoxical since it is expected that experiencing disease increases the likelihood of death. [2] However, in this case, the part of the population that experiences more disease and disability is the one that lives ...
The compression of morbidity in public health is a hypothesis put forth [1] by James Fries, professor of medicine at Stanford University School of Medicine.The hypothesis was supported by a 1998 study of 1700 University of Pennsylvania alumni over a period of 20 years.
In epidemiology, the excess deaths or excess mortality is a measure of the increase in the number of deaths during a time period and/or in a certain group, as compared to the expected value or statistical trend during a reference period (typically of five years) or in a reference population.
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]