Children and COVID-19 Research Library

The Covid-19 pandemic created a situation where online learning extended at speed. During the national lockdowns, when it was not possible for most children to physically attend school, the efficacy and efficiency of digital platforms made it possible for schools to fulfill their duties to provide an education. However, the urgency of the situation carried the risk that this was put in place without adequate consideration of the data protection risks from various online learning tools. Although the General Data Protection Regulation (GDPR) provides a framework of regulations and rights to protect users, the legal process is unwieldy to apply due to tensions in balancing the rights of the child learner with the public need to ensure that all children are provided with an education. This paper recommends that changes in digital schooling practices are needed so that children have realistically possible ways of enforcing their data protection rights as well as a clarified and uniformed approach to support schools.

The public discourse around the COVID-19 pandemic has been strikingly quantitative. Worldwide, the mainstream media has regularly informed the public of confirmed COVID-19 cases and deaths, including projections of worst-case scenarios drawn from esoteric epidemiological models. The prominence and visibility of data, regardless of its completeness or quality, underscored the threat of COVID-19 to policy makers and lay individuals alike. It also prompted governments to swiftly lock down their societies, despite the socioeconomic disruptions and human suffering associated with such lockdowns. The widespread media coverage of COVID-19 data and swift response from governments highlight the potency of real-time data, and contain important lessons for public health policy, which when applied, could raise the profile of other health issues and spur action among key stakeholders.

Although most cases of coronavirus disease 2019 (COVID-19) have occurred in low-resource countries, little is known about the epidemiology of the disease in such contexts. Data from the Indian states of Tamil Nadu and Andhra Pradesh provide a detailed view into severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission pathways and mortality in a high-incidence setting. Reported cases and deaths have been concentrated in younger cohorts than would be expected from observations in higher-income countries, even after accounting for demographic differences across settings. Among 575,071 individuals exposed to 84,965 confirmed cases, infection probabilities ranged from 4.7 to 10.7% for low-risk and high-risk contact types, respectively. Same-age contacts were associated with the greatest infection risk. Case fatality ratios spanned 0.05% at ages of 5 to 17 years to 16.6% at ages of 85 years or more. Primary data from low-resource countries are urgently needed to guide control measures.

COVID-19, the disease caused by the highly infectious and transmissible coronavirus SARS-CoV-2, has quickly become a morbid global pandemic. Although the impact of SARS-CoV-2 infection in children is less clinically apparent, collecting high-quality biospecimens from infants, children, and adolescents in a standardized manner during the COVID-19 pandemic is essential to establish a biologic understanding of the disease in the pediatric population. This biorepository enables pediatric centers world-wide to collect samples uniformly to drive forward our understanding of COVID-19 by addressing specific pediatric and neonatal COVID-19-related questions.

The Oxford COVID-19 Government Response Tracker (OxCGRT) systematically collects information on several different common policy responses that governments have taken to respond to the pandemic on 18 indicators such as school closures and travel restrictions. It now has data from more than 180 countries.

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.

The response to COVID-19 has seen an unprecedented rapid scaling up of technologies to support digital contact tracing and surveillance. The consequent collation and use of personally identifiable data may however pose significant risks to children’s rights. This is compounded by the greater number and more varied players making decisions about how data, including children’s data, are used and how related risks are assessed and handled. This means that we need to establish clear governance processes for these tools and the data collection process and engage with a broader set of government and industry partners to ensure that children’s rights are not overlooked.