Global Burden of Disease Study
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Study Overview
The new Global Burden of Diseases, Injuries, and Risk Factors Study (the GBD 2010 Study), which commenced in the spring of 2007, is the first major effort since the original GBD 1990 Study to carry out a complete systematic assessment of the data on all diseases and injuries, and produce comprehensive and comparable estimates of the burden of diseases, injuries and risk factors for two time periods, 1990 and 2005. By Spring 2011 the project will produce a final set of estimates.
The GBD 2010 Study brings together a community of experts and leaders in epidemiology and other areas of public health research from around the world to measure current levels and recent trends in all major diseases, injuries, and risk factors, and to produce new and comprehensive sets of estimates and easy-to-use tools for research and teaching. It is led by a consortium including Harvard University, the Institute for Health Metrics and Evaluation at the University of Washington, Johns Hopkins University, the University of Queensland, and the World Health Organization (WHO). This ambitious effort will be conducted systematically and transparently; both its methods and results will be made available to the public.
The GBD assesses the magnitude of health problems using standard units of measurement, such as disability-adjusted life years (DALYs). This study feature allows for lives in every part of the world to be valued equally and creates a common unit of currency for making decisions about the costs and benefits of various health interventions.
Finally, the study will focus from the outset on education, training, and transparency, incorporating features like an interactive website where experts can post information and actively discuss the study process. Broadening the global community's engagement with health metrics will be a focal point of the project.
Materials and methods
Data
Large pieces of data are available at the project website. We are building functionalities to access and reuse the data. Some drafts are written on this page.
An example of R code that fetches mortality data from IHME website and transforms it into a useful format for R-tools. Uncertainties are stored with the mean value for later use with interpret function.
# Read data
link <- "http://www.healthmetricsandevaluation.org/sites/default/files/record-attached-files/IHME_GBD_2010_MORTALITY_1970_2010.CSV"
a <- read.csv(link)
# Remove thousand separators.
for(i in 1:ncol(a)) {
a[[i]] <- gsub(",", "", a[[i]])
}
# Explanations are changed into factors. Observations are characters.
a[[1]] <- as.factor(a[[1]])
a[[2]] <- as.factor(a[[2]])
a[[3]] <- as.factor(a[[3]])
a[[4]] <- as.factor(a[[4]])
a[[6]] <- paste(a[[5]], a[[6]], sep = " ") # mean with uncertainties
a[[8]] <- paste(a[[7]], a[[8]], sep = " ") # mean with uncertainties
for(i in 1:ncol(a)) print(class(a[, i]))
head(a)
a <- melt(a, id.vars = 1:4, variable_name = "Observation") # Change into long format.
See also
- Global Burden of Diseases, Injuries, and Risk Factors 2010 Study
- IHME: Research areas
- IHME: Risk factors
- IHME: Data visualisations
- IHME: Team list
- European hospital morbidity database
- Disability weights
