1. Post-lockdown with hard restrictions - most of manufacturing are open, most knowledge workers are kept on doing remote working, schools are closed, big events are forbidden, public mobility discouraged, individual sports are permitted, cinema, bars and restaurants are shut. Social distancing is king;
2. Post-lockdown with soft restrictions - factories are open, knowledge workers in the office, events are permitted upon approval, public transportation fully functional, all sports permitted, schools still closed. Social distancing is still important. Personal protective equipment may be required;
3. Almost safe, no restrictions - Daily new cases are very little few. The challenge is to track back people and prevent a domino effect spread;
4. Country is safe - All the new cases are due to people travelling from abroad.
Optimistically, those scenarios will likely flow from the first to the last if we are winning the fight against COVID-19. However, there might be the need to halt the progress if, for any reason, we’ll be seeing a new wave of cases in a particular area:
5. Smaller scale lock down - The country is largely safe but there’s a hotbed in a particular city or even in a smaller area.
Such scenarios would be only possible if national authorities would increase their ability to track cases, timely and accurately, and make the right prediction while figures are small. Technology would play a central role in making that, saving people from unnecessary restriction and stress while safeguarding the production and national economy.
Having access to better diagnostics such as a serological test like the one DiaSorin claimed to ship by April (link, italian) would add valuable information to better manage any of those scenarios, minimizing the drawbacks. Once researchers have completed their analyses, we could grasp how likely recovered people are to get infected again with COVID-19, the immunity passport will definitely be another key factor to be taken into account.
Eventually, we overlaid scenarios and personas with macro categories that are either relevant for their scale and impact like manufacturing, education, geopolitics, etc. or deeply affected by the epidemic like tourism and travel, health systems, ecommerce, etc.
That exercise gave us a clear vision of the whole picture in which, a tracking app, would have played in.