Publications

 

This rapid review collates and synthesizes evidence on the child protection impacts of COVID-19 and previous pandemics, epidemics and infectious disease outbreaks. It provides lessons for global and national responses to COVID19 and recommendations for future research priorities.

The evidence on the impacts of pandemics and epidemics on child protection outcomes is limited and skewed towards studies on the effects of HIV/AIDS on stigma. There is also some evidence on the effects of Ebola on outcomes such as orphanhood, sexual violence and exploitation, and  school enrolment, attendance and dropout. The evidence on other pandemics or epidemics, including COVID-19, is extremely limited.

There are various pathways through which infectious disease outbreaks can exacerbate vulnerabilities, generate new risks and result in negative outcomes for children. Outcomes are typically multi-layered, with immediate outcomes for children, families and communities - such as being orphaned, stigmatization and discrimination and reductions in household income - leading to further negative risks and outcomes for children in the intermediate term. These risks include child labour and domestic work, harmful practices (including early marriage), and early and adolescent pregnancy.

Lessons from previous pandemics and epidemics suggest that the following could mitigate the child protection risks:

• Responding to children in vulnerable circumstances, including orphans (e.g. throughpsychosocial interventions focused on improving mental health and community-based interventions that provide families with resources and access to services)
• Responding to stigmatization and discrimination (e.g. throughinformation and communication campaigns and support from public health systems, communities and schools)
• Investing in social protectionenable livelihoods during outbreaks and to counteract shocks
• Promoting access to health, protective and justice services, which may be restricted or suspending during infectious disease outbreaks
• Ensuring continued access to education, particularly for girls, who may be adversely affected

There is a high burden of proof for data collection during the current COVID-19 outbreak than there would be in normal circumstances. Evidence generation strategies during and after the COVID-19 crisis should consider rigorous retrospective reviews and building upon monitoring, evidence and learning functions of pre-existing programmes – particularly where there is ongoing longitudinal data collection. There should also be efforts to synthesize evidence from existing research on the effectiveness of interventions that respond to the key risk pathways identified in this review.

 

 

• The research brief can be found here.
• Access the Evidence Gap Map on child protection and violence outcomes here.
• Access the study protocol here.

 

This paper provides an overview of the key issues drawn from the literature reviewed and suggests established and potential mitigation strategies that could improve ethical practices when involving children with disabilities in evidence generation activities (for a summary, see Appendix 1). More evidence generation activities with this group of children are urgently needed, and it is important that conventional and existing ethical practices used with children are further developed to embrace disability inclusion. This will encourage the realization of children’s right to participate and be heard, and ensure that policy and practice are informed by the perspectives and concerns of children with disabilities. Importantly, this approach can support a wider agenda for the greater inclusion in society of children with disabilities.

 

This protocol details the aims, scope and methodology used for the rapid review titled: “Impacts of Pandemics and Epidemics on Child Protection: Lessons learned from a rapid review in the context of COVID-19."

• The full report can be found here.
• The research brief can be found here.
• Access the Evidence Gap Map on child protection and violence outcomes here.

 

This paper examines the impact of the United Republic of Tanzania’s Productive Social Safety Net (PSSN) on child work and education. Targeting extremely poor households, the programme provides cash transfers that are partly conditional on the use of health and education services, along with a public works component. We relied on a cluster-randomized evaluation design, assigning villages to one of three study arms: cash transfers only; cash transfers combined with public works (i.e., the joint programme); and control. We complemented the quantitative analysis with findings from in-depth interviews and focus group discussions with children and caregivers, involving a subsample of participants from all three study arms. Due to household investment of PSSN benefits in livestock, the programme caused a shift from work for pay outside the household to work within the household,
mostly in livestock herding. The programme improved child education outcomes. These findings were echoed in the qualitative data – participants referred to working on family farms as being both safer for children and more beneficial for the family. Participants further discussed the importance of PSSN funds in paying for schooling costs. Impacts were generally no different for communities that received cash only and communities that received both cash and public works components. School dropout, however, decreased in villages where the joint programme was implemented but remained unchanged in villages receiving cash only.

Balancing the need to collect data to support good decision-making versus the need to protect children from harm created through the collection of the data has never been more challenging than in the context of the global COVID-19 pandemic. The response to the pandemic has seen an unprecedented rapid scaling up of technologies to support digital contact tracing and surveillance. As the pandemic progresses, we are also likely to see the emergence of more applications that link datasets as we seek to better understand the secondary impacts of the pandemic on children and their families.

This working paper explores the implications for privacy as the linking of datasets increases the likelihood that children will be identifiable and consequently, the opportunities for (sensitive) data profiling. It also frequently involves making data available to a broader set of users or data managers.

While it is recognized that reuse of unidentifiable data could potentially serve future public health responses and research, the nature of, access to and use of the data now and in future necessitate accountability, transparency and clear governance processes. It requires that these be in place from the outset. These are needed to ensure that data privacy is protected to the greatest degree possible and that the limitations to the use of these data are clearly articulated.

This rapid review seeks to inform the 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, like 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. Evidence is also drawn from the HIV/AIDS pandemic, due to its impacts on adult mortality rates and surviving children.

The available evidence on the effects of economic policy and social protection responses is uneven across outcomes, regions, and type of policy response as a large body of literature focused on social assistance programmes. Future research on the COVID-19 pandemic can prioritize the voices of children and the marginalized, assess the effects of expansionary and austerity measures,  examine the role of design and implementation, social care services, pre-existing macro-level health, demographic and health conditions and the diverse regional health and economic impacts of the pandemic. The paper also provides key lessons for public policy responses to the COVID-19 pandemic.

 

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.

We examine the effect of the Zambia Child Grant Programme – an unconditional cash transfer (CT) targeted to rural families with children under age five – on height-for-age four years after programme initiation. The CT scheme had large positive effects on several nutritional inputs including food expenditure and meal frequency. However, there was no effect on height-for-age. Production function estimates indicate that food carries little weight in the production of child height. Health knowledge of mothers and health infrastructure in the study sites are also very poor. These factors plus the harsh disease environment are too onerous to be overcome by the increases in food intake generated by the CT. In such settings, a stand-alone CT, even when it has large positive effects on food security, is unlikely to have an impact on long-term chronic malnutrition unless accompanied by complementary interventions.

This paper provides a framework for analyzing constraints that apply specifically to women, which theory suggests may have negative impacts on child outcomes (as well as on women). We classify women’s constraints into four dimensions: (i) low influence on household decisions, (ii) restrictions on mobility, (iii) domestic physical and psychological abuse, and (iv) limited information access. Each of these constraints are in principle determined within households. We test the impact of women’s constraints on child outcomes using nationally representative household Demographic and Health Survey data from India, including 53,030 mothers and 113,708 children, collected in 2015-16. We examine outcomes including nutrition, health, education, water quality, and sanitation. In our primary specification, outcomes are measured as multidimensional deprivations incorporating indicators for each of these deficiencies, utilizing a version of UNICEF’s Multidimensional Overlapping Deprivation Analysis index. We identify causal impacts using a Lewbel specification and present an array of additional econometric strategies and robustness checks. We find that children of women who are subjected to domestic abuse, have low influence in decision making, and limited freedom of mobility are consistently more likely to be deprived, measured both multidimensionally and with separate indicators.

In this paper, we provide estimates and analysis of child multidimensional poverty in Mozambique. Drawing on data from the Mozambique Household Budget Survey of 2014/15 (IOF), we define child multidimensional poverty using the Multiple Overlapping Analysis (MODA). We define three age groups of children, and a total of seven dimensions of deprivation: Family, Nutrition, Education, Child  labour, Health, WASH, Participation, and Housing. Results show that 81 per cent of children are deprived in at least two dimensions. Children are especially vulnerable in rural areas, where deprivation rates reach 95 per cent, and in the provinces of Niassa, Zambezia, and Cabo Delgado. The dimensions that more frequently overlap in Mozambique are Housing, Health, and WASH, with one third of children being deprived in these three dimensions at the same time. The data also allow the analysis of the interplay between monetary and multidimensional child poverty: 46 per cent of children suffer both forms of poverty. Children who are poor and deprived are children who live in rural areas, in more remote provinces; they live in households whose heads are less educated and whose main activity is agriculture. Finally, there is a direct correlation with shocks affecting the household and multidimensional poverty, with children of families who experienced weather shocks being more likely to be poor, deprived, or both.

The 2030 Agenda for Sustainable Development is a new opportunity to address the key development challenges of our time with the aim to improve the well-being and rights of all people while protecting the natural environment. Children are important agents and beneficiaries in this process: many children are not only among the most vulnerable groups affected by poverty, inequality, conflict and climate change, they are also the generation that will reach adulthood during the realization of the 2030 Agenda. To create the sustainable, long-term transformation ambitiously laid out in Agenda
2030, new transformative approaches to policy must be implemented and applied to children and youth—approaches that target the underlying generative framework of social injustice as opposed to implementing affirmative remedies that simply seek to alleviate the symptoms. The objective of this paper is to develop a conceptual framework to help assess the transformative potential of policies – particularly with regard to their impact on children and youth – and how these are meaningfully integrated and represented in decision-making processes. It will shed light on the policy space for transformative change by analysing a range of relevant factors which present both challenges and opportunities for fostering child rights and well-being through the implementation of Agenda 2030. The paper then applies the framework to a selection of policy areas that are of high relevance for child development, such as social policy and care policy assessing necessary means of implementation such as resource mobilization and governance systems and looking at economic and environmental impacts in a cross-cutting way. The aim is to stretch boundaries and invite new thinking on how to grasp the numerous opportunities offered by the Sustainable Development Goals (SDGs) to approach development challenges holistically and from a child-centred perspective. This involves integrating economic, social and environmental dimensions of development and fostering cross-sectoral approaches.

Current times are characterized by unprecedented migration levels: millions of people are on the move worldwide. Thus, understanding why people decide to migrate is a major goal of policymakers and international organizations, and migration has become a prominent issue on the global research agenda. Traditional migration drivers can be divided into reasons to leave (‘push’ factors) and reasons to migrate (‘pull’ factors), and include income deprivation, dissatisfaction with public services and institutions in the home country, conflict and war, climate change, and social networks abroad. In this paper, we focus our attention on children’s well-being as a potential migration driver. We investigate it by using the Gallup World Poll, a  repeated cross-section dataset of a survey conducted in more than 150 countries from 2006 to 2016. We estimate the association between planned and intended migration and children’s perceived well-being using logit models with standardized coefficients, robust standard errors, and year and country fixed effects. Estimates reveal a positive and statistically significant association between child-related concerns, migration intent and plans. In particular, the probability of individuals having migration intent and plans increases where they report lower levels of satisfaction with child-related issues, as measured by the Youth Development Index, an index driven by indicators of respect for children and satisfaction with the education system. Moreover, children’s well-being affects more individuals living in households with children than those without. Finally, migration is a child- and youth-related phenomenon: young individuals would like to migrate, and plan to do so, more than older individuals.