Analytical Methods to Assess Population-Level Changes in Growth Faltering and Nutrition-Related Inequalities

Description

Robust analytic methods can be applied to DHS, MICS, LSMS, and other national datasets to support decision-makers in understanding and addressing the nutrition situation in their context. In a follow-up to Data for Nutrition's recent webinar, "Analytical Methods to Identify Drivers of Change in Population-Level Nutrition Outcomes: Multivariable Decomposition Approach," the speakers will revisit the work of the Exemplars in Global Health.

Robert Black (Johns Hopkins Bloomberg School of Public Health) will provide an overview of equity analyses approaches before presentations from Nadia Akseer (Johns Hopkins Bloomberg School of Public Health) and Fernando Wehrmeister (Federal University of Pelotas). The session will discuss analyses used in the Exemplars' Peru case study and will focus on explaining the methods for assessing growth faltering and nutrition-related inequalities and how they can be applied by others. Then, Wehrmeister will discuss how wealth quintiles/deciles and absolute income methods were applied to support nutrition decision-makers in low- and middle-income countries. Q&A session moderated by Black will follow presentations.

Learn more about this webinar and the Analytic Methods webinar series online.

The webinar will be livestreamed on YouTube.