returaj / synthetic-contact-matrices

Updates to the synthetic contact matrices

Projecting contact matrices in 177 geographical regions: an update and comparison with empirical data for the COVID-19 era"

Contributors: Kiesha Prem ^1,2, Kevin van Zandvoort ¹, Petra Klepac ¹, Rosalind M Eggo ¹, Nicholas G Davies ¹, Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Alex R Cook ², Mark Jit1 ¹

Correspondence to: [e-mail]

¹ Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine

² Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore

Aim

1. To update the synthetic contact matrices with the most recent data and extend our analysis to 177 geographical locations.
2. To develop customised contact matrices for rural and urban settings.
3. To compare both the 2017 and 2020 synthetic matrices to out-of-sample empirically-constructed contact matrices.
4. To explore the effects of using both the empirical and synthetic contact matrices when modelling physical distancing interventions for the COVID-19 pandemic using an age-stratified transmission model.