English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

We portray the evolution of the Covid-19 epidemic during the crisis ofMarch-April 2020 in the Paris area, by analyzing the medical emergency callsreceived by the EMS of the four central departments of this area (Centre 15 ofSAMU 75, 92, 93 and 94). Our study reveals strong dissimilarities between thesedepartments. We show that the logarithm of each epidemic observable can beapproximated by a piecewise linear function of time. This allows us todistinguish the different phases of the epidemic, and to identify the delaybetween sanitary measures and their influence on the load of EMS. This alsoleads to an algorithm, allowing one to detect epidemic resurgences. We rely ona transport PDE epidemiological model, and we use methods from Perron-Frobeniustheory and tropical geometry.

Understanding and monitoring the evolution of the Covid-19 epidemic from medical emergency calls: the example of the Paris area