About: We analyse the data for the global corona virus (COVID-19) outbreak using the results of a previously studied Susceptible-Infected-Removed (SIR) model of epidemic spreading on Euclidean networks. We also directly study the correlation of the distance from the epicenter and the number of cases. An inverse square law is seen to exist approximately. The studies are made for China and the rest of the world separately.

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About: We analyse the data for the global corona virus (COVID-19) outbreak using the results of a previously studied Susceptible-Infected-Removed (SIR) model of epidemic spreading on Euclidean networks. We also directly study the correlation of the distance from the epicenter and the number of cases. An inverse square law is seen to exist approximately. The studies are made for China and the rest of the world separately. Goto Sponge NotDistinct Permalink

An Entity of Type : fabio:Abstract, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	abstract
value	We analyse the data for the global corona virus (COVID-19) outbreak using the results of a previously studied Susceptible-Infected-Removed (SIR) model of epidemic spreading on Euclidean networks. We also directly study the correlation of the distance from the epicenter and the number of cases. An inverse square law is seen to exist approximately. The studies are made for China and the rest of the world separately.
subject	Virology BRICS nations Scientific method Space plasmas
part of	Space-time dependence of corona virus (COVID-19) outbreak
is abstract of	Space-time dependence of corona virus (COVID-19) outbreak
is hasSource of	covid:ann/target/c6cc091c55138d122197973410f230e1c231e555 covid:ann/target/d70f4a2ef58d0c1bdf1e5a8e4ecb35223435866a covid:ann/target/73bb71876a847b496499fc99603406e2bba1c0c8 covid:ann/target/e522fb0173cfd0bb7791cc75cc7834e9abd7bc08 covid:ann/target/f5226bb17b9965f7298a47b1ddd772e478d73123 »more»

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