Mapping under-5 and neonatal mortality in Africa, 2000‒2015: a baseline analysis for the Sustainable Development Goals

Abstract

Background During the Millennium Development Goal (MDG) era, many countries in Africa achieved marked reductions in under-5 and neonatal mortality. Yet the pace of progress substantially varied at the national level, further demonstrating a vital need to track even more localised trends in child mortality. With the adoption of the Sustainable Development Goals (SDGs) in 2015, which established ambitious targets for improving child survival by 2030, optimal intervention planning and targeting will require understanding past trends and rates of progress at a higher spatial resolution. Methods We assembled 215 geographically-resolved data sources on child deaths to produce 5x5 kilometre (km) estimates of under-5 and neonatal mortality in 46 African countries for 2000, 2005, 2010, and 2015. We used a Bayesian geostatistical analytic framework to generate these estimates, and implemented a predictive validity tests. Last, we aggregated these 5x5 km estimates to two subnational administrative levels to maximise the policy utility of these results. Findings Amid improving child survival in Africa, substantial heterogeneity was found in terms absolute levels of under-5 and neonatal mortality in 2015 and the annualised rates of decline achieved from 2000 to 2015. Subnational areas in countries such as Botswana, Egypt, and Ethiopia recorded some of the largest decreases in child mortality rates since 2000, positioning them well to achieve SDG targets by or prior to 2030. Yet these geographies were the exception for Africa: to achieve SDG 3.2 for under-5 mortality by 2030, most of the continent – particularly in central and western Africa – must at least double the pace at which mortality rates fell between 2000 and 2015. Interpretation In the absence of unprecedented political commitment, financial support, and medical advances, the viability of SDG 3.2 achievement in Africa is precarious at best. By producing child mortality rates at multiple levels of geospatial resolution over time, our study offers decision-makers a ...