Understanding Causal Models in Disease Control and Prevention

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Explore the concept of causal models in disease control and prevention, including the definition of cause, modern interpretations, and the component cause model. Learn how different factors interact to bring about disease outcomes and the role of causal components in disease etiology.

  • Causal models
  • Disease control
  • Prevention
  • Etiology
  • Modern definition

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  1. Causal models Dr. Karwan M-Amen Karwan.m.amen@gmail.com 2019-2020

  2. Learning Outcomes By the end of this session, you will be able to Define cause Determine causal models

  3. Definition of cause Effective disease control and prevention depends on understanding the causes of illnesses. In general terms, a cause is something that produces an effect or brings about a result. Also called aetiology

  4. The modern definition of cause incorporates an important element of time: A cause of a disease event is an event, condition or characteristic that preceded a disease without which the disease event either would not have occurred at all or would not have occurred until some later time. Rothman and Greenland, 1998, p. 8

  5. 1. Component cause model (causal pies) Most diseases are caused by the cumulative effect of multiple causal components acting ( interacting ) together. Thus, a causal interaction occurs when two or more causal factors act together to bring about an effect.

  6. Causal interactions apply to both infectious bacteria, viurs and noninfectious DM, BP diseases. Example: why two people exposed to the same cold virus will not necessarily experience the same outcome:

  7. Rothmans (1976) causal pies helps clarify the contribution of causal components in disease etiology. Each pie represents a sufficient causal mechanism, defined as a set of factors that in combination makes disease occurrence unavoidable.

  8. e.g., Mycobacterium tuberculosis Component A is a necessary cause e.g.,familial exposure, immunosuppression, genetic susceptibility, poor nutrition, overcrowding, and high B, C, and Dare complementary factors environmental loads of the agent.

  9. 2. Causal web The causal web is a metaphor that emphasizes the interconnectedness of direct and indirect cause of disease and ill-health. Direct causes are proximal to the pathogenic mechanism. Indirect causes are distal from the disease causing mechanism.

  10. Levels of cause in a causal web may broadly be classified as: Macro-level (indirect causes, such as social, economic and cultural) Individual-level (intermediate-level cause, such as personal, behavioral, and physiological determinants) Micro-level (direct cause at the organ, cellular, and molecular level).

  11. 3. Agent, host, and environment Causal components can be classified as agent, host, or environmental factors.

  12. Agents are biological, physical, and chemical factors whose presence, absence, or relative amount (too much or too little) are necessary for disease to occur.

  13. Host factors include personal characteristics. It can be physiological, anatomical, genetic, behavioral, occupational, or constitutional. Environmental factors are external conditions other than the agent that contribute to the disease process. It can be physical, biological, social, economic, or political in nature.

  14. Causal forces can strengthen, weaken, or cancel-out each other, tipping the epidemiologic balance in favor of the host or in favor of the disease causing agent.

  15. Learning Objectives Now, you will be able to Define cause Determine causal models

  16. Thanks

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