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Objectives: With a fourth of all under-five children affected, stunting remains one of the biggest health challenges worldwide. Even though the main underlying factors are known, the exact pathways to stunting varying in affected regions, and interventions thus need to be tailored to the local contexts. This study aimed assessing and comparing factors associated with stunting in two understudied sub-Saharan urban contexts with some of the highest stunting prevalence globally: Bangui, Central African Republic (~ 36%) and Antananarivo, Madagascar (42%). Methods: We performed a case–control study on 175 + 194 stunted and 237 + 230 non-stunted control children aged 2–5 years and matched for age, gender and district of residency. Factors associated with stunting were identified using a standardized, paper questionnaire delivered by trained interviewers. Statistical analysis was done using logistic regression modelling. Results: In both sites, formal maternal education lowered the risk of being stunted and restricted access to soap, suffering of anaemia and low birth weight were associated with higher risk of stunting. Short maternal stature, household head different from parents, diarrhoea and coughing were associated with an increased risk and continuing breastfeeding was associated with a lower risk of stunting in Antananarivo. Previous severe undernutrition and dermatitis/ fungal skin infections were associated with higher and changes in diet during pregnancy with lower risk of stunting in Bangui. Conclusions: Our results suggest maternal education, antenatal care, iron supplementation and simple WASH interventions such as using soap and infection control as general and breastfeeding (Antananarivo) or better nutrition (Bangui) as area-specified interventions. [ABSTRACT FROM AUTHOR]

This paper analyses the efficiency of public spending in the education and health sectors of Cameroon, Chad and Central African Republic. It also examines the institution and economic factors influencing spending efficiency in these sectors in the countries selected for the period 2000-2012. The public sector efficiency scores are estimated in the first stage by using the non-parametric Data Envelopment Analysis (DEA) approach while in the second stage, the panel data Tobit and the Fractional Logit regression techniques are used to determine the effect of institutional and economic factors on public spending efficiency in the education and health sectors. The results from the estimation show that Cameroon is more efficient than Chad and Central African Republic in its public spending in education and health. Chad is least efficient in public spending in education, although it spends more on education as compared to the other countries in the study. The results also indicate that the quality of budgetary and financial management has a positive and statistically significant influence on efficiency while corruption has a negative and significant influence on public spending efficiency in the education and health sectors. The results put together recommend that efforts should be put in place to curb corruption and improve on the quality of budgetary and financial management. [ABSTRACT FROM AUTHOR]