IHME Impact Summer 2010

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IHME Impact Institute for health metrics and evaluation

Inside this issue

2 The director’s view Dr. Christopher Murray discusses IHME’s maternal and child mortality research

3 Deep dive IHME studies cash payment program for Indian mothers

4 Connections New fellows join IHME; recent outreach events

5 Innovations IHME’s recently published work examines global mortality, risk factors, health aid, and more

7 Ripple effect IHME research inspires new dialogue, action on maternal and child health

For more information, please visit IHME’s Web site: www.healthmetricsandevaluation.org or contact us at comms@healthmetricsandevaluation.org or +1-206-897-2800 ©Copyright IHME 2010

Issue 2 / summer 2010

beneath the surface

New approach generates more accurate estimates of child mortality The breakthrough moment came last summer. IHME researchers had embarked on a full assessment of child mortality levels and trends over time, gathering data from around the world. But they were struggling to find a way to track and analyze all the information they were collecting. The model they were trying to use wasn’t flexible enough to accommodate the varying amounts and quality of data they were finding. “The problem was how to fit it together,” said Post-Bachelor Fellow Jake Marcus. “In some places, we had multiple measurements with drastically different estimates in mortality. In some countries, the data are really good, and you trust them. It’s a puzzle that you have to put together to make all the pieces fit.” Then Dr. Abraham Flaxman, a Post-Graduate Fellow at the time, saw a way to make those pieces fit using a different method: the Gaussian process regression (GPR) model. Flaxman, now an Assistant Professor of Global Health, had been introduced to GPR through a software package by a team of programmers, including Anand Patil at the University of Oxford. They were using it in a public health setting to study the spread of malaria. Flaxman thought it just might work for the child mortality project. After Flaxman suggested GPR, Marcus spent a weekend toying with it to see if it would really work. “It was an interesting problem,” Marcus said. “How to think of one model that will work in the United States, work in Zambia, and work

Photo by Scott Phillips

Dr. Abraham Flaxman illustrates the GPR model while Jake Marcus looks on.

with so many different types of data from so many different sources.” After spending time trying it out, Marcus was hopeful: “It was definitely promising. It did what we needed it to do.” The GPR method gives researchers a way to classify data quality in different countries. In the United States, for instance, the data are reliable because they come from a vital registration system. But other countries may use several surveys that estimate mortality, and each of those surveys may report drastically different numbers. In that situation, GPR can adjust its analysis based on the differences among the surveys and the proven accuracy and reliability of each. The GPR method is flexible enough to accommodate varying amounts of data and levels of data quality. Finding the best and most accurate way to measure the data was vital to see how much Continued on page 2

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