Author: Petra Klepac; Adam J Kucharski; Andrew JK Conlan; Stephen Kissler; Maria Tang; Hannah Fry; Julia R Gog
Title: Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project Document date: 2020_2_19
ID: fugb778l_41
Snippet: We address the missing data in BBC matrices in two ways: (1) we take the ages 13 and 14 for which we have data to be representative of the entire age-group 10-14, and (2) we fill out the information for the age-groups 0-4 and 5-9 from POLYMOD by scaling the missing square with the ratio of dominant eigenvalues of the symmetric subset of the BBC matrix without missing values, and the same subset of the POLYMOD matrix. The scaling factor q = Ï(BBC.....
Document: We address the missing data in BBC matrices in two ways: (1) we take the ages 13 and 14 for which we have data to be representative of the entire age-group 10-14, and (2) we fill out the information for the age-groups 0-4 and 5-9 from POLYMOD by scaling the missing square with the ratio of dominant eigenvalues of the symmetric subset of the BBC matrix without missing values, and the same subset of the POLYMOD matrix. The scaling factor q = Ï(BBC S )/Ï(POLYMOD S ) where 8 . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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