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Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is at least partly responsible for the effect, and the effect is at least partly dependent on the cause. [1]
Cause, also known as etiology (/ iː t i ˈ ɒ l ə dʒ i /) and aetiology, is the reason or origination of something. [ 1 ] The word etiology is derived from the Greek αἰτιολογία , aitiologia , "giving a reason for" ( αἰτία , aitia , "cause"; and -λογία , -logia ).
Causal reasoning is the process of identifying causality: the relationship between a cause and its effect.The study of causality extends from ancient philosophy to contemporary neuropsychology; assumptions about the nature of causality may be shown to be functions of a previous event preceding a later one.
Causality, within sociology, has been the subject of epistemological debates, particularly concerning the external validity of research findings; one factor driving the tenuous nature of causation within social research is the wide variety of potential "causes" that can be attributed to a particular phenomena.
An infection is the invasion of tissues by pathogens, their multiplication, and the reaction of host tissues to the infectious agent and the toxins they produce. [1] An infectious disease, also known as a transmissible disease or communicable disease, is an illness resulting from an infection.
This is an accepted version of this page This is the latest accepted revision, reviewed on 3 February 2025. Condition negatively affecting an organism For other uses, see Disease (disambiguation). "Maladies" redirects here. For the 2012 film, see Maladies (film). "Malady" redirects here. For the American politician, see Regis Malady. "Ailment" redirects here. Not to be confused with Aliment ...
Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable when a cause of the effect variable is changed.
M. africanum is not widespread, but it is a significant cause of tuberculosis in parts of Africa. [64] [65] M. bovis was once a common cause of tuberculosis, but the introduction of pasteurized milk has almost eliminated this as a public health problem in developed countries.