The goal of this study is to calculate what proportion of deaths or disability‐adjusted life years (DALYs) can be attributed to specific risk factors, holding other independent factors unchanged. Quantification of the disease burden caused by different risks informs prevention by identifying which risks make the greatest contribution to poor health. No complete revision of global burden of disease caused by risk factors has been done since a comparative risk assessment in 2000, and no previous analysis has assessed changes in burden attributable to risk factors over time.
Individuals, households, and health systems devote enormous resources to curing, preventing, and eliminating non‐fatal, disabling health conditions. Therefore, it is essential that some form of measuring and tracking non‐fatal burdens be available for policy and planning purposes.
The number of deaths in each age and sex group for countries, regions, and the world is a critical starting point for assessing the Global Burden of Disease (GBD). A careful estimation of deaths and mortality rates by age and sex is essential to assess progress, improve health, and extend the lives of people around the world. Information about mortality rates and causes of death at different ages, especially premature mortality, is also an important impetus for public policy action.
Between 1990 and 2010, the U.S ranking in neonatal mortality slipped from 29th to 45th among countries globally. Our objective is to measure the extent to which trends and subnational variation in early neonatal mortality reflect differences in the prevalence of risk factors (gestational age and birth weight) compared to differences in clinical care.
This engenders the hypothesis that population density positively affects coverage rates of health services. This hypothesis has been tested indirectly for some services at a local level, but not at a national level.
In this working paper, we review past work on health inequalities and propose concrete ways in which countries can implement systems to measure, monitor and ultimately reduce inequalities in health.
This paper estimates the causal effect of distance to health facility on institutional delivery in rural India, taking into account the endogenous placement of the health facility. We find that women living closer to health facilities are more likely to give birth at health facility.
While many Americans reported losing weight between 2008 and 2009, the actual prevalence of obesity in the United States increased over this time period, according to researchers at IHME. Results from the study “In denial: misperceptions of weight change among adults in the United States” show that public health officials should interpret self-reported weight losses with caution.
New data published in the study “Developing a comprehensive time series of GDP per capita for 210 countries from 1950 to 2015” track gross domestic product (GDP) over six decades. Researchers from IHME used models to fill in gaps in time and across 210 countries for existing GDP datasets and created two new GDP time series.
In 2009, the influenza vaccination coverage level in the United States was 69% in adults 65 years and older but only 32% in adults between the ages of 18 and 64. This study was conducted to inform future vaccination strategies by identifying the characteristics of people who are less likely to receive influenza vaccination.
Malaria caused over 1.2 million deaths worldwide in 2010, twice the number found in the most recent comprehensive study of the disease. While malaria is traditionally considered a childhood disease, this study shows that there is a significant disease burden in adults.
This study proposes five general principles for cause of death model development, validation, and reporting and details an analytical tool – the Cause of Death Ensemble model (CODEm) – that explores a large number of possible models to estimate trends in causes of death. CODEm produces better estimates of cause of death trends than previous methods.
For policymaking, planning, and advocacy, decision-makers need to know how funding to developing countries for health improvement changed in the wake of the global financial crisis. According to IHME researchers, development assistance for health (DAH) continued to grow in 2011, but the rate of growth was low.
Noncommunicable diseases and related risk factors are the leading causes of disease burden in Iran and other middle-income countries. High blood pressure caused 80,000 deaths in Iran in 2005, and hyperglycemia caused 34,000 deaths in that year.
Compared to four other risk factors, high systolic blood pressure had the largest impact on mortality in Iran, causing an estimated 80,000 annual deaths in 2005, according to researchers at the Tehran University of Medical Sciences, Harvard School of Public Health, the Iranian Ministry of Health and Medical Education, IHME, and Imperial College London.
Avahan, a program aimed at preventing HIV in India, averted an estimated 100,178 HIV infections between 2003 and 2008, according to researchers at IHME, the Public Health Foundation of India, the Ministry of Health and Family Welfare of India, and the University of Hong Kong.
More than half of the countries around the world are lowering maternal and child mortality at an accelerated rate, according to a study conducted by researchers at IHME and the University of Queensland.
The number of cases and deaths from breast and cervical cancer are rising in most countries, especially in the developing world where more women are dying at younger ages, according to a new study.
Children who live in households that own at least one insecticide-treated mosquito net (ITN), also known as bed nets, are less likely to be infected with malaria and less likely to die from the disease, according to new study.
New research from IHME, the Department of Health Services at the University of Washington, and the University of Queensland as part of the Population Health Metrics Research Consortium (PHMRC) shows that the Simplified Symptom Pattern (SSP) method can be used to accurately interpret verbal autopsies (VAs).
The creation of the first strictly defined gold standard database of diagnoses for causes of death will help strengthen verbal autopsy (VA) methods in low-resource settings, according to a study published by a global group of researchers, the Population Health Metrics Research Consortium (PHMRC), which includes researchers from IHME.
The Tariff method, an easy-to-use tool developed by researchers at IHME for turning verbal autopsy (VA) results into meaningful cause of death data for health workers and policymakers, is capable of outperforming the more costly physician-certified verbal autopsy (PCVA) approach in most cases, according to new research by IHME as part of the Population Health Metrics Research Consortium (PHMRC).
Choosing the best method for verbal autopsy (VA) requires the appropriate metrics to assess a given method’s performance, and researchers from IHME and the University of Queensland undertook a study to determine these metrics.
The vital registration system in Mexico relies on information collected from death certificates to generate official mortality figures. A study by researchers at IHME and the National Institute of Public Health in Mexico set out to test the validity of this system.
An innovative method of computer-coded verbal autopsy, the Random Forest (RF) Method from machine learning, was found to outperform physician-certified verbal autopsy (PCVA) in almost all settings, according to a study by researchers from IHME and the Bill & Melinda Gates Foundation as part of the Population Health Metrics Research Consortium (PHMRC).