Cell-phone traces reveal infection-associated behavioral change

Ymir Vigfusson^*, Thorgeir A. Karlsson, Derek Onken, Congzheng Song, Atli F. Einarsson, Nishant Kishore, Rebecca M. Mitchell, Ellen Brooks-Pollock, Gudrun Sigmundsdottir, Leon Danon

^*Corresponding author for this work

Bristol Veterinary School
Bristol Population Health Science Institute
Department of Engineering Mathematics

Research output: Contribution to journal › Article (Academic Journal) › peer-review

6 Citations (Scopus)

30 Downloads (Pure)

4 results

Finished
8032 COVID-19: Spatial heterogeneity in transmission and the impact of interventions: a mathematical modelling approach
Danon, L.
18/01/21 → 30/09/21
Project: Research
8032: Covid-19 Modelling Consortium JUNIPER
Danon, L.
18/01/21 → 18/05/22
Project: Research
8055: Covid-19 Modelling Consortium-JUNIPER
Brooks Pollock, E.
19/11/20 → 18/05/22
Project: Research
COVID-19 Modelling Consortium: quantitative epidemiological predictions in response to an evolving pandemic’
Brooks Pollock, E.
19/11/20 → 18/05/22
Project: Research, Parent

Cell-phone traces reveal infection-associated behavioral change

Projects

Search results

8032 COVID-19: Spatial heterogeneity in transmission and the impact of interventions: a mathematical modelling approach

8032: Covid-19 Modelling Consortium JUNIPER

8055: Covid-19 Modelling Consortium-JUNIPER

COVID-19 Modelling Consortium: quantitative epidemiological predictions in response to an evolving pandemic’