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Q: What happens to the heart during the P,Q,R,S,and T waves?
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Give an example of the “epidemiological paradox.”
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- What is a Cause in epidemiology? Provide examplesIf an epidemiologist is studying a new disease, or one that is beginning to emerge, would incidence or prevalence data be more useful? Why?What is epidemiology? Discuss some of the leading causes of deaths or illnesses in developed and less developed countries respectively, and explain why this is so.
- In an epidemiological study with human subjects, the relationship between the independent variable and the dependent variable always suggests that: Answer choices one does not cause the other. correlation always equals causation. one caused the other. correlation does not always equal causation.Explain why rates are important to epidemiologists.Current national data show that injuries from motor vehicle accidents are a major cause of mortality, morbidity and disability. They represent a particularly important health problem from the perspective of years of potential life lost. Analyze the problem of injuries from motor vehicle accidents from an epidemiological perspective (including current distributions by population; and host, time, and environmental factors): Based on your analysis, describe potential prevention initiatives that may warrant consideration:
- Draw an editorial cartoon on the importance of the roles of the multi-agency teams in communicable disease prevention and control. Explain the meaning of the cartoon.If a disease X has a duration of 15 years and a low incidence (5 per 100,000 person-years). If another disease Y has a duration of 5 years and a low and low incidence (5 per 100,000 person years). If we compare disease X and Disease Y in the same population, we would expect: a) Better cure b) lower prevalence c) higher prevalence d) Higher incidence e) shorter durationWhat is disease causation theory? Define personalistic and naturalistic disease causation using films and/or readings.