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/

Global: Zendy Plus annual

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

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We study variants of the SEIR model for interpreting some qualitativefeatures of the statistics of the Covid-19 epidemic in France. Standard SEIRmodels distinguish essentially two regimes: either the disease is controlledand the number of infected people rapidly decreases, or the disease spreads andcontaminates a significant fraction of the population until herd immunity isachieved. After lockdown, at first sight it seems that social distancing is notenough to control the outbreak. We discuss here a possible explanation, namelythat the lockdown is creating social heterogeneity: even if a large majority ofthe population complies with the lockdown rules, a small fraction of thepopulation still has to maintain a normal or high level of social interactions,such as health workers, providers of essential services, etc. This results inan apparent high level of epidemic propagation as measured throughre-estimations of the basic reproduction ratio. However, these measures arelimited to averages, while variance inside the population plays an essentialrole on the peak and the size of the epidemic outbreak and tends to lower thesetwo indicators. We provide theoretical and numerical results to sustain such aview.

Heterogeneous social interactions and the COVID-19 lockdown outcome in a multi-group SEIR model