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deterministic and multicausal model

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Test on causality in epidemiology.

Created by

DIEGO ALEXANDER GOMEZ MARTINEZ
DIEGO ALEXANDER GOMEZ MARTINEZ
Mexico

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deterministic and multicausal model
 

deterministic and multicausal modelOnline version

Test on causality in epidemiology.

by DIEGO ALEXANDER GOMEZ MARTINEZ
1

What does causality in epidemiology refer to?

2

Difference between association and causality?

3

Which model states a specific cause produces a defined effect?

4

Koch postulates aim to prove what?

5

Which factors are considered in the multicausal model?

6

Diabetes type 2 illustrates what kind of disease?

7

A main limitation of the deterministic model is?

8

Name a category of factors in the multicausal model.

9

What is a key public health benefit of identifying disease causes?

10

Which model is more suitable for modern diseases?

Explicación

Causality links a factor to disease occurrence, not just association.

Association does not imply causation; causality implies a direct effect.

Deterministic: cause leads to a definite outcome.

Postulates link a microorganism to the disease through specific criteria.

Multiple interacting factors explain disease, not a single cause.

Diabetes type 2 involves genetics, lifestyle, and environment.

Many diseases result from several interacting factors.

These four categories cover the major influences on health.

Identifying causes enables prevention and healthier interventions.

Multicausal models account for multiple interacting factors.

 
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