By Jørn Olsen, Kaare Christensen, Jeff Murray, Anders Ekbom
An advent to Epidemiology for future health Professionals
Jorn Olsen, Kaare Christensen, Jeff Murray, and Anders Ekbom
Who will get ill? What factors—genetic, environmental, social—contribute to their illness?
Easy adequate to invite, however the solutions have gotten more and more complex. at the present time, because the public concerns approximately rising ailments and the note epidemic is a part of the final dialogue, epidemiology could be a uncomplicated element of scientific education, but frequently it truly is undertaught or perhaps overlooked. Concise and readable whereas additionally rigorous and thorough, An creation to Epidemiology for wellbeing and fitness Professionals is going past commonplace textbook content material to flooring the reader in clinical tools so much proper to the present overall healthiness panorama and the evolution of evidence-based medicine—valuable keys to raised figuring out of illness approach, potent prevention, and exact remedy. This volume:
- Presents fabric accessibly for readers who could have no longer studied epidemiology.
- Focuses both in descriptive and analytic branches of epidemiology.
- Demonstrates purposes of descriptive and analytic tools in public health and wellbeing, genetic epidemiology, and scientific epidemiology.
- Includes a "Sources of blunders" part addressing difficulties in inference and decision-making, choice bias, and different universal pitfalls.
In addition to its usefulness for graduate scholars in public overall healthiness and clinical scholars in medical epidemiology, An creation to Epidemiology for wellbeing and fitness Professionals is a well timed reference for practitioners wanting a refresher during this vital self-discipline.
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Additional resources for An Introduction to Epidemiology for Health Professionals
This variation in the DNA sequence is found about once in every 1,000 nucleotides and as of this writing more than 5 million of these variants are well characterized. The variation occurs in two common forms. The most common and studied are SNPs or single nucleotide polymorphisms – changes in a single DNA nucleotide at a single position (A for G, for example) that are easy to characterize and enumerate. Since we have two copies of each chromosome, one from each parent (and each gene on those chromosomes), we can define a genotype as the type of each of the two possible variants we might have (AA, AG, or GG for an A/G containing SNP).
What we do know is that associations appear to be probabilistic. ” This is, however, the kind of explanation we often have to offer in health promotion and disease prevention. We thus have to be more precise in explaining what we are talking about when we talk about disease causation because we are in conflict with commonsense concepts. Our prediction will always be uncertain because diseases have many causes and these causes may interplay in settings that may or may not be present at the time they can activate an onset of a disease.
Often, they will have to work with secondary data that only approximate the information needed to make exact calculations. They should know when these approximations are good enough for the purpose at hand and when they are not. In public health it is furthermore often useful to estimate the proportion of the diseased that could be avoided if we eliminate the exposure, the attributable fraction. If the exposure is a “strong” necessary cause for the disease the calculation is simple since there will be no cases if we eliminate the exposure.
An Introduction to Epidemiology for Health Professionals by Jørn Olsen, Kaare Christensen, Jeff Murray, Anders Ekbom