IHME's research undergoes a rigorous internal and external review process prior to publication in top academic journals. The research publications listed below stem from IHME's core research produced by IHME researchers, research teams, and collaborators.
Tracking development assistance for health for low- and middle-income countries gives policymakers information about spending patterns and potential improvements in resource allocation. We tracked the flows of development assistance and explored the relationship between national income, disease burden, and assistance.
Cigarette smoking is a leading risk factor for morbidity and premature mortality in the United States, yet information about smoking prevalence and trends is not routinely available below the state level, impeding local-level action.
Ischemic Heart Disease (IHD) is the leading cause of death worldwide. The Global Burden of Diseases, Risk Factors and Injuries (GBD) 2010 Study estimated global and regional IHD mortality from 1980 to 2010.
Ischemic heart disease (IHD) burden consists of years of life lost from IHD deaths and years of disability lived with three nonfatal IHD sequelae: nonfatal acute myocardial infarction (AMI), angina pectoris, and ischemic heart failure. Our aim was to estimate global and regional burden of IHD in 1990 and 2010.
Over the last 30 years, HIV/AIDS has emerged as a major global health challenge. Globally, the trend is that non-communicable diseases and injuries are accounting for a larger share of disease burden, but HIV/AIDS is a notable exception. Maintaining and expanding the response to the epidemic will require assessment of its magnitude and impact at the country level. It is also critical to examine the HIV/AIDS epidemic in the context of other health problems to clearly understand its impact and effectively allocate resources.
In 2012, data from GBD 2010 were published, providing results for 1990, 2005, and 2010. Hundreds of collaborators reported summary results for the world and 21 epidemiologic regions, covering 291 diseases and injuries, 1,160 sequelae of these causes, and mortality and burden attributable to 67 risk factors. GBD 2010 addressed a number of major limitations to previous analyses, including strengthening the statistical methods used for estimation and using disability weights derived from surveys of the general population. Metrics produced include leading causes of death, years of life lost, years lived with disability, and disability-adjusted life years (DALYs), which are the years of healthy life lost by a person due to death or disability.
Under-5 mortality, the probability of death before age 5, is an important indicator of child health in a population. Because estimates of under-5 mortality are often derived from birth history data from censuses or surveys, it is important to know how accurate these estimates are, particularly estimates derived from small samples of women. Researchers aimed to assess the magnitude and direction of error for estimates derived from birth histories using several analysis methods.
HIV prevalence over time is a critical metric for understanding the effectiveness of programs aiming to prevent HIV. Prevalence is often measured using surveillance of clinic patients, which can lead to selection bias: clinics located in areas of high HIV prevalence are often the first to be monitored by the surveillance systems, distorting the estimated HIV prevalence based on clinic data. To help understand the impact of selection bias on the estimation of HIV prevalence trends, researchers compared the efficacy of two approaches for handling selection bias.
The United States spends more than any other country on health care, but US life expectancy at birth ranked 40th for males and 39th for females globally in 2010. To help understand this poor national performance, as well as the large disparities seen in life expectancy across communities, researchers estimated age-specific mortality rates for males and females by US county from 1985 to 2010.
Obesity and lack of physical activity are associated with several chronic conditions, such as heart disease and diabetes, increased health care costs, and premature death. Since different local governments have pursued different approaches to address both risks, levels of obesity and physical activity are likely to vary substantially across counties. To understand local trends in physical activity and obesity that would help identify successful and less successful strategies, researchers examined county-level changes in physical activity and obesity between 2001 and 2011.