  Washing hands, social distancing and staying at home are the preventive
measures set in place to contain the spread of the COVID-19, a disease caused
by SARS-CoV-2. These measures, although straightforward to follow, highlight
the tip of an imbalanced socio-economic and socio-technological iceberg. Here,
a System Dynamic (SD) model of COVID-19 preventive measures and their
correlation with the 17 Sustainable Development Goals (SDGs) is presented. The
result demonstrates a better informed view of the COVID-19 vulnerability
landscape. This novel qualitative approach refreshes debates on the future of
SDGS amid the crisis and provides a powerful mental representation for decision
makers to find leverage points that aid in preventing long-term disruptive
impacts of this health crisis on people, planet and economy. There is a need
for further tailor-made and real-time qualitative and quantitative scientific
research to calibrate the criticality of meeting the SDGS targets in different
countries according to ongoing lessons learned from this health crisis.
