Abstract
BACKGROUND: Quantifying the disease burden among children that could potentially be reduced through improvements in individual economic status and regional economic equality can greatly benefit policy making and resource allocation. However, such quantification has rarely been done. This study aimed to assess the inequality-related burden of acute respiratory infection (ARI) (the leading cause of child mortality in low- and middle-income countries (LMICs)) among under five children. METHODS: This study integrated the Demographic and Health Survey data from 53 countries and linked individual records to a novel proxy of economic development status, the satellite night-time light (NTL). We assessed the number of children affected by ARI attributable to within-country economic disparities (eg, NTL