Programa de cursos integrados Epidemiology for Public Health
Desenvolva e avalie a pesquisa epidemiológica. Desenvolva habilidades que lhe permitirão conduzir e avaliar criticamente pesquisas em epidemiologia
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O que você vai aprender
Calculate and interpret appropriate measures in order to describe disease frequency, association and attributable risk for given scenarios.
Calculate sensitivity, specificity, positive and negative predictive values, in order to interpret these values in the context of screening.
Compare and contrast different epidemiological study designs in order to describe their strengths and weaknesses.
Identify different types of biases that may occur in epidemiological studies, in order to apply strategies to reduce such biases.
Habilidades que você terá
Sobre este Programa de cursos integrados
Projeto de Aprendizagem Aplicada
Through the assignments of this specialisation you will use the skills you have learned to calculate appropriate measures of frequency and association in a variety of study types. You will also practise identifying bias and confounding in epidemiological research and taking the necessary steps to control for them. By doing that, you will be able to decide which study findings should be trusted and correctly interpret their real life applications.
A background in health sciences or/and quantitative methods would be useful, but not essential.
A background in health sciences or/and quantitative methods would be useful, but not essential.
Este Programa de cursos integrados contém 3 cursos
Measuring Disease in Epidemiology
Epidemiological research is ubiquitous. Even if you don’t realise it, you come across epidemiological studies and the impact of their findings every single day. You have probably heard that obesity is increasing in high income countries or that malaria is killing millions of people in low income countries. It is common knowledge that smoking causes cancer and that physical activity is protective against heart disease. These facts may seem obvious today, but it took decades of epidemiological research to produce the necessary evidence. In this course, you will learn the fundamental tools of epidemiology which are essential to conduct such studies, starting with the measures used to describe the frequency of a disease or health-related condition. You will also learn how to quantify the strength of an association and discuss the distinction between association and causation. In the second half of the course, you will use this knowledge to describe different strategies for prevention, identify strengths and weaknesses of diagnostic tests and consider when a screening programme is appropriate.
Study Designs in Epidemiology
Choosing an appropriate study design is a critical decision that can largely determine whether your study will successfully answer your research question. A quick look at the contents page of a biomedical journal or even at the health news section of a news website is enough to tell you that there are many different ways to conduct epidemiological research.
Validity and Bias in Epidemiology
Epidemiological studies can provide valuable insights about the frequency of a disease, its potential causes and the effectiveness of available treatments. Selecting an appropriate study design can take you a long way when trying to answer such a question. However, this is by no means enough. A study can yield biased results for many different reasons. This course offers an introduction to some of these factors and provides guidance on how to deal with bias in epidemiological research. In this course you will learn about the main types of bias and what effect they might have on your study findings. You will then focus on the concept of confounding and you will explore various methods to identify and control for confounding in different study designs. In the last module of this course we will discuss the phenomenon of effect modification, which is key to understanding and interpreting study results. We will finish the course with a broader discussion of causality in epidemiology and we will highlight how you can utilise all the tools that you have learnt to decide whether your findings indicate a true association and if this can be considered causal.
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Imperial College London
Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.
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Perguntas Frequentes – FAQ
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