Munday, JD, Jarvis, CI, Gimma, A, Wong, KL, Van Zandvoort, K, Funk, S and Edmunds, WJ. 2022. Weekly CoMix contact matrices for UKHSA COVID-19 dashboard and ONS COVID-19 infection survey age-groups. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.7351950
Munday, JD, Jarvis, CI, Gimma, A, Wong, KL, Van Zandvoort, K, Funk, S and Edmunds, WJ. Weekly CoMix contact matrices for UKHSA COVID-19 dashboard and ONS COVID-19 infection survey age-groups [Internet]. Zenodo; 2022. Available from: https://doi.org/10.5281/zenodo.7351950
Munday, JD, Jarvis, CI, Gimma, A, Wong, KL, Van Zandvoort, K, Funk, S and Edmunds, WJ (2022). Weekly CoMix contact matrices for UKHSA COVID-19 dashboard and ONS COVID-19 infection survey age-groups. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7351950
Description
Weekly contact matrices calculated from data collected as part of the UK arm of the CoMix survey. All contact matrices were calculated over two survey rounds (SR) of data to account for alternating panels (the indicated SR and the previous SR). Full details of composition can be found in Munday et. al. [1]. Contact matrices are provided for age-groups consistent with publicly available case data from the UKHSA COVID-19 dashboard (0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+) and publicly available aggregates of infection and antibody prevalence from the ONS COVID-19 infection survey (2-10, 11-15, 16-24, 25-34, 35-49, 49-69 and 70+). The data is provided in qs files as 1000 bootstrapped samples of each contact matrix for weekly 'survey rounds' between 19 and 94 (see directory "survey_round_dates.csv"). The files that begin with UKHSA contain the contact matrices for the age stratification of the UKHSA COVID-19 dashboard case data. The files that begin with ONS contain the contact matrices for the age stratification of the ONS COVID-19 infection survey.
Keywords
Data capture method | Compilation/Synthesis, Aggregation |
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Date (Date published in a 3rd party system) | 25 November 2022 |
Language(s) of written materials | English |
Data Creators | Munday, JD, Jarvis, CI, Gimma, A, Wong, KL, Van Zandvoort, K, Funk, S and Edmunds, WJ |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 28 Nov 2022 14:58 |
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Last Modified | 28 Nov 2022 14:58 |
Publisher | Zenodo |