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: mark.jit@lshtm.ac.uk
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
- To update the synthetic contact matrices with the most recent data and extend our analysis to 177 geographical locations.
- To develop customised contact matrices for rural and urban settings.
- To compare both the 2017 and 2020 synthetic matrices to out-of-sample empirically-constructed contact matrices.
- 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.