An introduction and examples of how to use the Chi square test. The test is used when analyzing assocation between two categorical variables and when comparing proportions. The idea behind the test is to compare the observed frequencies with the expected frequencies, if the two variables are unrelated.

An introduction and examples of how to use Correlation and Simple Linear Regression. Explaining concepts as coefficient of correlation, dependent variables, independent variables and the straight line equation and residuals.

An introduction and examples of how to use Descriptive Statistics. It is about how we present and decribe the data in our sample in the best possible way. This covers tabels, graphs, measures of location and measures of spread/variability.

An introduction and examples of how to use statistical hypothesis testing, introducing the five steps in the significance test: 1. Assumptions 2. Hypothesis and signifincance level 3. Test Statistic 4. P-value 5. Conclusion

This presentation provides an introduction to the calculation and use of Disability Adjusted Life Years (DALYs). DALY is increasingly used as a measurement for disease burden when comparing the relative burden of specific diseases or a combination of diseases across or within populations.

This presentation provides an introduction to the principles of demographic and epidemiological transition with specific focus on how changes in life expectancy, socio-economic factors and life conditions will change the landscape of global disease burdens.

This presentation provides an overview of the major determinants and specific drivers of epidemiological transition and changes in disease burdens, including demographic factors, urbanisation, diet, economics, climate changes, disasters, health sector reforms, health care and health care technology.

What determines our health? Why does life expectancy differ so much from country to country, or even from one group to another in the same country? Well, there is no easy answer to these questions. There are many factors that play a part in determining the well-being of the population, or even of an individual. In global health, we call these factors determinants of health. Determinants of health interact with each other, and influence our health status is in numerous ways, in turn influencing our well-being, morbidity, mortality, and life expectancy. As you already know, the first and most important health determinant is income. Income of an individual or a household, but also income of the country a person lives in. Other important health determinants are education, access to water, diet, environment and many more. In this presentation we will look closer at how health determinants determine an individual’s health, and how different health determinants interact with each other.

Get transcript for video here: https://www.oercommons.org/courseware/module/58789/overview

No matter what your area of interest is, you need to know how to evaluate your subject, how to measure it. Global health is measured using something we call health indicators. To understand how a population in a country, or in a region, or even a part of a city is doing, you need to know its health indicators. How long do people live in this country? How many children die before they reach their fifth birthday in this city? What is the weight of children and adults in the northern part of the country? How many women die in childbirth in the country? Once you have looked at these numbers and compared them with other populations, you can make sense of the health situation of a population. In this lecture you will some basic health indicators, and also how the data is collected.
Get transcript for video here: https://www.oercommons.org/courseware/module/58789/overview

This presentation provides an introduction to diarrheal diseases caused by bacteria, viruses, parasites and other disease causing agents or pathogens. Furthermore, we’ll look at the range of syndromes associated with diarrhea and uncover two significant pathogens: rotavirus and vibrio cholera. Finally, we’ll delve into methods for managing diarrheal diseases and the significance of sanitation in preventing diarrheal diseases.

You must know the basic facts about the world population in order to grasp global health. You
need to know where people live in this world, how the world population is changing based on
the number of babies born per woman, on average, in the world as a whole and in the
different regions. And finally, you must learn how, why, and when the fast population growth in the world will
come to an end during this century. Please look at this video with five video clips where this is explained. And if something is surprising to you, please look twice.
Get transcript for video here: https://www.oercommons.org/courseware/module/58789/overview

Open Code is a tool for coding and categorizing qualitative data. Open Code 4.0 is a tool to help you index and sort big materials, so it can be searched and re-arranged for further analysis. Open Code was developed to follow the first steps of Grounded Theory but it is now possible to use it for all qualitative methods and it is prepared for Grounded Theory and Qualitative Content analysis. It is useful for sorting and classifying any kind of qualitative information. The software is developed to run on Windows. To run it on a Mac, you have to run a virtual machine or other systems to run pc-software on a mac computer.

How to create a project in Open Code 4. How to import documents to prepare for an analysis. Each project is an database of documents. The analysis is an intellectual process, done outside of Open Code. Open Code is a tool for coding and categorizing qualitative data. Open Code is a tool to help you index and sort big materials, so it can be searched and re-arrangede for furhter analysis. Open Code was developed to follow the first steps of Grounded Theory but it is now possible to use it for all qualitative methods and it is prepared for Grounded Theory and Qualitative Content analysis. It is useful for sorting and classifying any kind of qualitative information. The software is developed to run on Windows. To run it on a Mac, you have to run a virtual machine or other systems to run pc-software on a mac computer.

How to work in the documents in Open Code, showing the interface and ways to work through your project. Open Code is a tool for coding and categorizing qualitative data. Open Code is a tool to help you index and sort big materials, so it can be searched and re-arrangede for furhter analysis. Open Code was developed to follow the first steps of Grounded Theory but it is now possible to use it for all qualitative methods and it is prepared for Grounded Theory and Qualitative Content analysis. It is useful for sorting and classifying any kind of qualitative information. The software is developed to run on Windows. To run it on a Mac, you have to run a virtual machine or other systems to run pc-software on a mac computer.

This is an introduction to the fascinated multidisciplinary world of water, sanitation, and hygiene (WASH). An area relevant due to the 1,5 million people annually dying of WASH-related disease, but also highly relevant during any emergency, whether it is a cholera outbreak in the slums of Dhaka Bangladesh, drought and water shortage in Kenya or hygiene-related virus outbreaks anywhere on the globe. The course ties theories of engineering, anthropology, public health, epidemiology, microbiology, disaster management, etc. with practical exercises to provide the student with the multifaceted background knowledge needed to be able to respond in an emergency actively. The course Water and sanitation in Emergencies started as a response to the Tsunami in 2004 and is now an independent elective course under the world-renowned Master of Disaster Management program, http://www.mdma.ku.dk, at University of Copenhagen. Read more and register for the course on https://globalhealth.ku.dk/studies/courses/water_supply_and_sanitation_in_emergencies.

An introduction and examples of how to use basic concepts in statistics, used in quantative studies: samples, population, variables, random samples, groups, ranking, measurement levels.

An introduction and examples of how to use Multiple linear regression. The Linear regression model investigates a linear relationship. The dependent variable should be quantitative and normally distributed. The Multiple Regression Model includes more than one independent variable. The Multiple Regression Model is introduced with real data from the Swedish pregnancy register.

An introduction and examples of how to use the basic ideas and steps in logistic regression and Cox regression. Regression is about trying to explain phenomena in reality by constructing a mathematical model that describes reality.

An introduction and examples of how to use Survival analysis and Life event analysis. This is about statistical methods for analyzing longitudinal data on the occurrence of events. Events may include death, injury, marriage, getting a job (binary variables).

Episode 1, part 1: Interview with Sir Michael Marmot, Professor of Epidemiology and Public Health at University College London about the current state of Global Health, with special focus on Health Equity. The first episode consists of two parts.
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The Swedish Global Health Podcast - A Podcast about Global Health and Sustainable Development is aimed at anyone interested in knowing more about this exciting topic! It is co-produced by the Swedish Society of Medicine's Committee for Global Health and the Swedish Society of Medicine's student and junior doctor section.