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covid:arg/b15e513ac2f5696b1e51324fb0a3118c44a6a9e9/1
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An Entity of Type :
amo:Claim
, within Data Space :
wasabi.inria.fr
associated with source
document(s)
Type:
sioca:Idea
aif:I-node
aif:KnowledgePosition_Statement
claim
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type
sioca:Idea
aif:I-node
aif:KnowledgePosition_Statement
claim
wasQuotedFrom
Models of epidemics: when contact repetition and clustering should be included
sioca:supports
covid:arg/b15e513ac2f5696b1e51324fb0a3118c44a6a9e9/0
aif:claimText
We show that random mixing models provide acceptable estimates of the total outbreak size if the number of contacts per day is high or if the per - contact transmission probability is high , as seen in typical childhood diseases such as measles .
proves
covid:arg/b15e513ac2f5696b1e51324fb0a3118c44a6a9e9/0
is
hasSource
of
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nodeID://b57248680
nodeID://b57469672
nodeID://b57535204
nodeID://b57589232
nodeID://b57778208
nodeID://b57817276
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nodeID://b57976412
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is
sioca:supports
of
covid:arg/b15e513ac2f5696b1e51324fb0a3118c44a6a9e9/0
is
has claim
of
covid:arg/b15e513ac2f5696b1e51324fb0a3118c44a6a9e9
is
proves
of
covid:arg/b15e513ac2f5696b1e51324fb0a3118c44a6a9e9/0
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