Author: Christopher I Jarvis; Kevin Van Zandvoort; Amy Gimma; Kiesha Prem; Petra Klepac; G James Rubin; W John Edmunds
Title: Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK Document date: 2020_4_3
ID: 8do4tojk_30
Snippet: As children (<18 years) were not included as survey participants, we imputed contacts for younger age groups (child-child and child-adult contacts) using the POLYMOD UK data. Specifically, for those child contact groups that were missing, we used a scaled version of the POLYMOD social contact matrix. Following previous methods developed by Klepac et al 16 , as the scaling factor, we took the ratio of the dominant eigenvalues of the POLYMOD and Co.....
Document: As children (<18 years) were not included as survey participants, we imputed contacts for younger age groups (child-child and child-adult contacts) using the POLYMOD UK data. Specifically, for those child contact groups that were missing, we used a scaled version of the POLYMOD social contact matrix. Following previous methods developed by Klepac et al 16 , as the scaling factor, we took the ratio of the dominant eigenvalues of the POLYMOD and CoMix . CC-BY-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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