Armed with additional data, policymakers will be able to more effectively control tobacco in their countries.
Explore trends in tobacco use worldwide and by country for the years 1980 to 2012 with our new interactive data visualization tool. Use the settings below the graphics to focus on a demographic category or measure of interest (e.g., location, year, age, sex, metric).
Previous analyses of cause-specific mortality in the United States have either focused on just one or a few causes of death or have analyzed national trends. We extend this work to describe cause-specific mortality in the US by county, age, sex, year, and a collectively exhaustive set of conditions. First, we describe trends in causes of death across these five dimensions.
Data analysis is a complex process with frequent shifts among data formats and models, and among textual and graphical media. We are investigating how to better support the life cycle of analysis by identifying critical bottlenecks and developing new methods at the intersection of visualization, machine learning, and computer systems. Can we empower users to transform and clean data without programming?
UK pushes to join other European countries in improving health.
In this talk, Dr. Welch will 1) define overdiagnosis: the detection of an “abnormality” that would have otherwise never become evident during the individual’s lifetime; 2) describe the proximate mechanisms for overdiagnosis: a) changing rules, b) seeing more, c) looking harder, and d) stumbling onto things; 3) explore the evidence for overdiagnosis and subsequent harm; and 4) consider approaches to mitigate the problem.
This study investigates empirically whether the population health benefits arising from progress toward universal health coverage (UHC) vary according to how equitable countries are in alternative domains, including access to care and socioeconomic conditions.
This talk examines the crowdsourcing phenomenon during natural disasters and other crisis events.
This talk will present a simple approach to unifying these two approaches via a new graph, termed the Single-World Intervention Graph (SWIG).
A collaborative approach figured prominently in the United Arab Emirates’ (UAE) National Strategy and Action Plan for Environmental Health, desi
Bayesian population reconstruction is a method for estimating past populations by age with fully probabilistic statements of uncertainty. It simultaneously estimates age-specific population counts, vital rates, and net migration from fragmentary data while formally accounting for measurement error.
Countries in the Arab world -- from Saudi Arabia to Mauritania to Yemen -- have made some significant health gains over the past two decades, including increases in life expectancy and swift reductions in child mortality. But the rise of chronic diseases, diet-related risk factors, and deaths from road injuries during the same period threatens that progress.
When a risk factor for poor health affects one part of a community more than another, policymakers have two choices: continue with a one-size-fits-all approach or find a new way to focus on the population most at risk.
This seminar reports on reproductive history interviews with 1,014 Tibetan women 40 years of age and older living at altitudes of 3,000+ meters in Gorkha and Mustang Districts, Nepal, as well as on ethnographic data from the regions.
This talk will cover key findings from perception studies and visualization research and will examine techniques for evaluating and understanding visualizations.
Stein Emil Vollset will give an overview of what is known and what remains to be learned about health, disease, and risk factors in Norway.
In countries with limited vital registration, adult mortality rates are frequently estimated using siblings’ survival histories (SSH) collected during nationally representative surveys such as the Demographic and Health Surveys. Such data may underestimate adult mortality because of reporting errors and omissions of deceased siblings. Dr.
IHME’s Director of Data Development Peter Speyer gave a talk at TEDxRainier, Seattle’s annual TED (Technology, Entertainment, Design) event.
Dr. Jewell’s arrival as an Assistant Professor at Berkeley in 1981 coincided with the peak of the HIV epidemic in the San Francisco Bay Area. From that moment on he was involved in many studies of the epidemiology of AIDS and subsequently intervention and treatment trials. He will discuss some of the statistical challenges associated with population studies of HIV and how methods developed to study the epidemic turned out to have much broader application.
Many health behaviors are difficult to measure. Estimates of illegal drug use are subject to substantial self-report and sampling biases. Municipal wastewater samples are routinely collected for 24-hour periods at the point of inflow to treatment plants, providing insights into substance consumption upstream that is anonymous, near real time, and relatively inexpensive.
This talk will highlight some of the benefits and challenges associated with harnessing the temporal structure present in many datasets.
Founder and CEO of Captricity, Kuang Chen, demonstrates Captricity and discusses ways to incorporate paper-based data into organizational workflows by transforming static data into structured, machine-readable formats for analysis, reporting, and other uses.
This video infographic, produced by The Lancet, spotlights the burden of mental and substance use disorders worldwide.
IHME Director Christopher Murray participated in a Google+ Hangout discussing IHME's latest United States health research with Dr. Nancy Snyderman from NBC News.
IHME Director, Christopher Murray and one of the lead authors on the study at an event for mayors and other local officials hosted by First Lady Michelle Obama as part of the Let’s Move! Cities, Towns, and Counties anniversary convening.