By Jørn Olsen, Kaare Christensen, Jeff Murray, Anders Ekbom
An creation 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 sufficient to invite, however the solutions have gotten more and more complex. this present day, because the public concerns approximately rising ailments and the notice epidemic is a part of the overall dialogue, epidemiology might be a easy section of scientific education, but frequently it's undertaught or perhaps ignored. Concise and readable whereas additionally rigorous and thorough, An creation to Epidemiology for health and wellbeing Professionals is going past commonplace textbook content material to flooring the reader in clinical tools so much suitable to the present well-being panorama and the evolution of evidence-based medicine—valuable keys to higher figuring out of illness strategy, powerful prevention, and certain therapy. This volume:
- Presents fabric accessibly for readers who can have no longer studied epidemiology.
- Focuses both in descriptive and analytic branches of epidemiology.
- Demonstrates functions of descriptive and analytic tools in public health and wellbeing, genetic epidemiology, and medical epidemiology.
- Includes a "Sources of errors" part addressing difficulties in inference and decision-making, choice bias, and different universal pitfalls.
In addition to its usefulness for graduate scholars in public health and wellbeing and clinical scholars in medical epidemiology, An advent to Epidemiology for future health Professionals is a well timed reference for practitioners desiring a refresher during this vital self-discipline.
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Extra resources for An Introduction to Epidemiology for Health Professionals
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.
4. ). Global Burden of Disease and Risk Factors. Oxford University Press/The World Bank, New York/Washington, DC, 2006. 5. Strong K, Mathers C, Leeder S, Beaglehole R. Preventing chronic diseases: how many lives can we save? Lancet 2005;366(9496):1578–1582. 6. Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology 1999;10:37–48. 7. Rothman KJ, Greenland S, Lash TL. Modern Epidemiology, 3rd Edition. Lippincott, Williams and Wilkins, Philadelphia, 2008. Chapter 6 Descriptive Epidemiology in Genetic Epidemiology Occurrence Data in Genetic Epidemiology Genetics has come to play an increasingly important role in studies of health and disease driven both by new technologies that enable these studies (chromosome analysis, DNA sequencing, genotyping) and by our recognition of the key role of genes and genetic variation in disease causation.
The existence of slow growing prostate cancers that will produce no or only mild clinical symptoms within a natural life span, combined with differences over time in diagnostic intensity, as well as changes in the way of reporting underlying causes of death, can at least partly explain such trends. Prostate cancer is probably the most unsuitable of all cancer forms to assess the impact of new interventions based on changes in incidence. This becomes evident if one compares temporal trends in incidence and mortality in prostate cancer between Sweden and Norway, two populations with very similar ethnic roots and lifestyles.
An Introduction to Epidemiology for Health Professionals by Jørn Olsen, Kaare Christensen, Jeff Murray, Anders Ekbom