A route towards territorial coordination
Coordination vs. COVID-19
Switzerland and the Coronavirus Crisis (COVID-19) as on 24.03.2020
1. The Blue Circles are Healthcare facilities.
Their sizes scale with the number of beds reported in 2017 here.
2. The Red Circles (as you already guessed) illustrate the total reported Covid-19 cases per Canton centered on the corresponding “capital” (main city).
Their sizes, like in the John Hopkins map is sizable with the number of cases. e.g. “Vaud” is today the most critical spot.
3. The Yellow Lines are the central point of the tool.
We wrote an optimization algorithm to find the most relevant dispatching hospital for a given infection center depending on proximity, number of beds and number of new cases.
The same Switzerland facing the Coronavirus crisis (COVID-19) on 27.03.2020
Anticipating the impact of COVID-19
CALYPS can help with the looming coordination challenge, mainly by helping to better anticipate impending flows, provided data is available. At present this is a major problem in Switzerland, due to data incompleteness, non-alignment and non-standardization, whether in and among municipalities, cantons or linguistic regions.
Our artificial intelligence platform is specialized in flow prediction thereby enabling superior anticipation. The results it generates reflect the harsh reality of the field and its good performance has been demonstrably verified. By feeding it with relevant data (as described above) and by using its predictive capabilities, we are convinced that it could help authorities and healthcare institutions to better understand the impacts of the COVID-19 pandemic.
To all of you who read this BLOG, do not hesitate to share it and relay it to all the people who could influence our authorities and decide to use our AI: in this fight, all help is precious, time plays a key role and in this context, anticipating is winning !