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Modelling and simulation of COVID-19 propagation in a large population with specific reference to India

Menon, A.; Rajendran, N. K.; Chandrachud, A.; Setlur, G.

2020-05-05 infectious diseases
10.1101/2020.04.30.20086306 medRxiv
Show abstract

Deterministic mathematical models (called Compartmental models) of disease propagation such as the SIR model and its variants (MSIR, Carrier state, SEIR, SEIS, MSEIR, MSEIRS models) are used to study the propagation of COVID19 in a large population with specific reference to India. O_FIG O_LINKSMALLFIG WIDTH=199 HEIGHT=200 SRC="FIGDIR/small/20086306v1_ufig1.gif" ALT="Figure 1"> View larger version (124K): org.highwire.dtl.DTLVardef@1df17ccorg.highwire.dtl.DTLVardef@19372d6org.highwire.dtl.DTLVardef@158686aorg.highwire.dtl.DTLVardef@12f34f9_HPS_FORMAT_FIGEXP M_FIG C_FIG

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The top 8 journals account for 50% of the predicted probability mass.

1
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50% of probability mass above
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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.