This open access book examines the diverse strategies implemented by national and local European governments to contain the Covid-19 pandemic. Rather than focus on individual national case studies, it brings together leading scholars and policymakers to analyse the wide range of containment policies utilised across the continent at various levels of government. In doing so, the volume assesses …
On January 30, 2020, India reported the first case of COVID-19 in Kerala. The index case was identified as a student returning from Wuhan. As of February 3, 2020, a total of three cases were confirmed in Kerala. However, after a month the number of cases in the country increased dramatically. On March 14, 2020, India reported its first two COVID-19-related deaths. India’s case fatality ra…
"A leading researcher explores digital disparity and the pandemic and asks: how did people of different backgrounds use digital media to negotiate the challenges of isolation, unemployment, home schooling, remote work, and COVID-19 itself? And how did digital technology intersect with existing social and economic disparities? Although it is undeniable that technologies helped facilitate numerou…
The Covid-19 pandemic threw into stark relief the multi-dimensional threats created by neoliberal capitalism. Government measures to alleviate the crisis were largely inadequate, leaving women – in particular working-class women – to carry the increased burden of care work while at the same time placing themselves in direct risk as frontline workers. Emancipatory Feminism in the Time of Cov…
This open access book focuses on making the transition from in-person, classroom education to other feasible alternative modes and methodologies to deliver education at all levels. The book presents and analyzes research questions to explore in this arena, including pedagogical issues relating to technological and infrastructure challenges, teacher professional development, issues of disparity,…
In survival analysis, time-varying covariates are endogenous when their measurements are directly related to the event status and incomplete information occur at random points during the follow-up. Consequently, the time-dependent Cox model leads to biased estimates. Joint models (JM) allow to correctly estimate these associations combining a survival and longitudinal sub-models by means of a s…