  As the number of smart devices that surround us increases, so do the
opportunities to leverage them to create socially- and context-aware systems.
Smart devices can be used for better understanding human behaviour and its
societal implications. As an example of a scenario in which the role of
socially aware systems is crucial, consider the SARS-CoV-2 pandemic. In this
paper we present an innovative Humanin-The-Loop Cyber Physical system that can
collect passive data from people, such as physical activity, sleep information,
and discrete location, as well as collect self-reported data, and provide
individualised user feedback. In this paper, we also present a three and a half
months field trial implemented in Portugal. This trial was part of a larger
scope project that was supported by the Portuguese National Health System, to
evaluate the indicators and effects of the pandemic. Results concerning various
applications usage statistics are presented, comparing the most used
applications, their objective and their usage pattern in work/non-work periods.
Additionally,the time-lagged cross correlation between some of the collected
metrics, Covid events, and media news, are explored. This type of applications
can be used not only in the context of Covid but also in future pandemics, to
assist individuals in self-regulation of their contagion risk, based on
personalized information, while also function as a means for raising
self-awareness of risks related to psychological wellbeing.
