PUBH6035 CASE STUDY 1 MODULE 3 discussion
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Walden University *
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6035
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Health Science
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Dec 6, 2023
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Uploaded by grace3mum
Measures of Association and Impact
In order to evaluate and address the public health issue, epidemiologists must first
quantify the frequency, distribution, and effect of disease. By measuring these factors and
establishing and explaining links between them, epidemiologists' primary resources (González-
Ramrez et al., 2010) can plot a trajectory for doing so. In other words, when epidemiologists and
other public health experts have statistical data at their disposal, they may use those causal links
to plan how to address the public health issue and support it with a network of resources.
Comparing illness risks among certain populations can be done in a variety of ways. Because
there are a greater variety of study designs, relative risk is one of these measures that
epidemiologists employ the most frequently (Coggin et al, 2003). It enables us to assess disease
occurrence between exposed individuals and those who are not exposed, for instance, by using a
ratio measure (Walden University, 2015). Moreover, attributable risk is just the disease rate in
those who are exposed, minus the rate in those who are not.
Making meaningful comparisons of basic indicators of disease frequency might be
difficult, however direct standardization is a technique to get around this issue (Aschengrau &
Seage, 2020). Generalizability is another such concept, and it refers to the ability of an
epidemiologist to make their best educated prediction regarding a target population on the basis
of statistical data. It's crucial to understand this idea while dealing with vulnerable and
marginalised groups, like minorities and women. It is vital that these populations be included in
trials, and the National Institutes of Health (NIH) has supported their inclusion by providing
funds (Aschengrau & Seage, 2020).
The virtual lab was extremely useful to me since it gave me a chance to practice comparing in a
real-world setting, exactly like an epidemiologist could in their line of work. Although I found
the concepts to be quite simple and simple to understand while working through the allotted
questions, I believe that thinking on them as well as our assigned readings was far more helpful
in advancing with this module's lessons.
Reference
Aschengrau, A., & Seage, G. R., III. (2020). Essentials of epidemiology in public health (4th ed.).
Burlington, MA: Jones & Bartlett. Coggin, D., Rose, G., & Barker, D. J. P. (2003). Comparing
disease rates. Epidemiology for the Uninitiated (4th ed.). Retrieved from
http://www.bmj.com/about-bmj/resources-readers/publications/epidemiology-uninitiated/3-
comparing-disease-rates González-Ramírez, A. R., & Rivas-Ruiz, F. (2010). Measures of
frequency, magnitude of association and impact in epidemiology. Allergologia et
immunopathologia, 38(3), 147–152. https://doi.org/10.1016/j.aller.2010.02.002 Walden
University, LLC. (Producer). (2015k). Virtual lab: Measures of association and impact
[Multimedia file]. Baltimore, MD: Author.
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