Ontology highlight
ABSTRACT:
SUBMITTER: Hinch R
PROVIDER: S-EPMC8328312 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature
Hinch Robert R Probert William J M WJM Nurtay Anel A Kendall Michelle M Wymant Chris C Hall Matthew M Lythgoe Katrina K Bulas Cruz Ana A Zhao Lele L Stewart Andrea A Ferretti Luca L Montero Daniel D Warren James J Mather Nicole N Abueg Matthew M Wu Neo N Legat Olivier O Bentley Katie K Mead Thomas T Van-Vuuren Kelvin K Feldner-Busztin Dylan D Ristori Tommaso T Finkelstein Anthony A Bonsall David G DG Abeler-Dörner Lucie L Fraser Christophe C
PLoS computational biology 20210712 7
SARS-CoV-2 has spread across the world, causing high mortality and unprecedented restrictions on social and economic activity. Policymakers are assessing how best to navigate through the ongoing epidemic, with computational models being used to predict the spread of infection and assess the impact of public health measures. Here, we present OpenABM-Covid19: an agent-based simulation of the epidemic including detailed age-stratification and realistic social networks. By default the model is param ...[more]