This paper summarizes the recent UNICEF analysis on investing in early childhood education in developing countries. It provides a benefit-cost analysis of investments in pre-primary education in 109 developing low- and middle-income countries and territories, using data from 2008 to 2019.

The initial impression that paediatric SARS-CoV-2 infection is uncommon and generally mild has been replaced by a more nuanced understanding of infectious manifestations in children and adolescents across low-, middle-, and high-income countries and by demographic structure, with recognition of a widening disease spectrum. Critical knowledge gaps, especially in low- and middle-income countries remain, that have significant public policy and programme implications. Insufficient data disaggregated by age, geography and race/ethnicity are hindering efforts to fully assess prevalence of infection and disease in children and adolescents and their role in transmission. Potential biologic differences in susceptibility to infection and between children and adults need to be assessed. Determination of mother-to-child SARS-CoV-2 transmission during pregnancy or peripartum requires appropriate samples obtained with proper timing, lacking in most studies. Finally, predictors of disease progression, morbidity and mortality in children need to be determined particularly as the pandemic moves to low- and middle-income countries, where poor nutritional and health conditions and other vulnerabilities are more frequent among children than in higher-income settings. Countries, UN agencies, public health communities, donors and academia need to coordinate the efforts and work collectively to close the data and knowledge gaps in all countries (high-, middle- and low-income) for better evidence to guide policy and programme decision-making for children and COVID-19 disease.

This paper examines the impact of the United Republic of Tanzania’s Productive Social Safety Net (PSSN) on child work and education.

The response to the pandemic has seen an unprecedented rapid scaling up of technologies to support digital contact tracing and surveillance.This working paper explores the implications for privacy as the linking of datasets: increases the likelihood that children will be identifiable; increases the opportunity for (sensitive) data profiling; and frequently involves making data available to a broader set of users or data managers.

This rapid review seeks to inform initial and long-term public policy responses to the COVID-19 pandemic by assessing evidence on past economic policy and social protection responses to health and economic crises and their effects on children and families. The review focuses on virus outbreaks/emergencies, economic crises and natural disasters which, similar to the COVID-19 pandemic, were rapid in onset, had wide-ranging geographical reach, and resulted in disruption of social services and economic sectors without affecting governance systems. Lessons are also drawn from the HIV/AIDS pandemic due to its impact on adult mortality rates and surviving children.

This research brief compares the properties of individual- and household-based multidimensional child poverty approaches. Specifically, it contrasts UNICEF’s Multiple Overlapping Deprivation Analysis (MODA) with the Global Multidimensional Poverty Index (MPI) developed by the Oxford Poverty and Human Development Initiative. MODA focuses on children and is rooted in the child rights approach, while MPI has been developed for households and follows Sen’s (1985) capabilities approach. We demonstrate their similarities and differences using two recent Multiple Indicator Cluster Surveys: Sierra Leone and Lao People’s Democratic Republic (PDR). The analysis suggests that MODA tends to produce higher multidimensional child poverty headcount rates than MPI, both because of the differences in the survey items used to construct the indicators of deprivation and because of how the indicators are aggregated and weighted.