Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project

Petra Klepac; Adam J Kucharski; Andrew JK Conlan; Stephen Kissler; Maria Tang; Hannah Fry; Julia R Gog

AJK was supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (grant Number 206250/Z/17/Z). MLT was supported by the UK Engineering and Physical Sciences Research Council (EPSRC), grant number EP/N509620/1. We are grateful to Edwin van Leeuwen for helpful discussions on POLYMOD matrices. We would like to thank 360 Production, and in particular Danielle Peck and Cressida Kinnear, for helping to make the collection of this dataset possible, and all our study participants for giving up their time to contribute to this public science project. We are grateful to Anne Alexander and Hugo Leal for helpful discussions regarding the ethics considerations and data privacy. . 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.