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As more countries rise out of poverty, CGD’s work in this area focuses on the inequities and emerging problems that jeopardize global health progress.
As more countries rise out of poverty, CGD is focusing on the inequities and emerging problems that jeopardize global health progress: How should governments allocate scarce health budgets rationally? How can global health donors and other development partners advance global health security, pandemic preparedness, and health systems strengthening? What can be done to address health inequities in low- and middle-income countries? What are evidence-informed policies to address market failures that span from early-stage pharmaceutical research and development to supply chain efficiency and ensure health product markets work for the poor?
CGD research helps policymakers build sustainable health systems, respond to shifting realities, and deliver value for money.
In 2016 on the CGD Podcast, we have discussed some of development's biggest questions: How do we pay for development? How do we measure the sustainable development goals (SDGs)? What should we do about refugees and migrants? And is there life yet in the notion of globalism? The links to all the full podcasts featured and the work they reference are below, but in this edition, we bring you highlights of some of those conversations.
This Wonkcast was originally recorded on September 2, 2014.
As the Ebola epidemic continued to spread in West Africa, with more than 3,000 cases and 1,500 deaths, I invited CGD senior fellow Mead Over, a health economist and one of the world’s top experts on the economics of HIV/AIDS, to discuss newly released maps from the World Health Organization (WHO) and measures for limiting the economic fallout from the epidemic.
In recent years, many global health institutions have adopted eligibility and transition frameworks for the countries they support, generating questions about how these frameworks apply in practice—and whether global health progress will be put at risk through premature or poorly planned transition processes.
Across multiple African countries, discrepancies between administrative data and independent household surveys suggest official statistics systematically exaggerate development progress. We provide evidence for two distinct explanations of these discrepancies.