Intersecting barriers to adolescents’ educational access during COVID-19: Exploring the role of gender, disability and poverty

Understanding the impact of COVID-19 on stress and Access to Services for Licensed and Kinship Caregivers and Youth in Foster Care

“…These findings highlight an existing digital divide (Venkat, 2001) that extends to youth in foster care and their caregivers, either because services were not able to successfully transition to virtual platforms or because caregivers were not successful at accessing those virtual services (Gonzales, 2016;Hirko et al, 2020). The variation in virtual education documented for other populations (e.g., Jones et al, 2021), where high-resourced schools were more successful at implementing virtual education compared to low-resourced schools (Walters, 2020) may provide some insight into these findings. Technology resources for youth in foster care and their caregivers may need to be a focus as infrastructure and other enhancements to create equity in technology access are realized, which may be relevant to all services, including education and physical and behavioral healthcare services (Hoffman, 2020).…”

Internet access and its role on educational inequality during the COVID-19 pandemic

“…According to the report of Worldbank (2021) , the Covid-19 pandemic has led to the largest disruption of education systems in decades, with the longest school closures, which has caused substantial losses and inequalities in learning. Jones et al (2021) examined the effect of the Covid-19 pandemic on access to education for adolescents. They found that the Covid-19 pandemic enhances pre-existing educational inequalities.…”

COVID-19 and the gendered impacts on adolescent wellbeing: Evidence from a cross-sectional study of locally adapted measures in Ethiopia, Jordan, and Palestine

“…As a component of the longitudinal Gender and Adolescence: Global Evidence (GAGE) study, 17 this analysis builds on ongoing research assessing risk and protective factors for adolescent wellbeing during the pandemic. 18 , 19 , 20 , 21 Using data from 5,752 adolescents, we first developed locally adapted measures of adolescent wellbeing, following best practices for the development of valid and reliable measures. 22 , 23 We used multivariate regression methods to understand the relationship between household-level COVID-19 vulnerability and our adolescent wellbeing measures, using an adapted measure of COVID-19 vulnerability across four domains: socioeconomic, demographic, epidemiological, and housing and hygiene.…”