Abstract
A long standing priority in global health has been meeting the health needs of the youngest population, children under the age of 5. Efforts to improve the wellbeing of the population under 5 years of age requires accurate and timely assessment of the current levels and trends of mortality risk in children under the age of 5. Here we present an updated methodological strategy using Spatio-temporal and Gaussian process regressions to synthesize disparate mortality data sources into a coherent time series of 5q0 estimates with 95% uncertainty bounds. We anticipate that in rigorous predictive validity tests this updated modeling strategy will again outperform other synthesis modeling options including LOESS and spline-regression.
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Event ID
17
Paper presenter
55 718
Type of Submissions
Regular session presentation, if not selected I agree to present my paper as a poster
Language of Presentation
English
Weight in Programme
1 000
Status in Programme
1
Submitted by katherine.lofgren on