OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing.
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 o...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2021-07-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009146&type=printable |
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| author | Robert Hinch William J M Probert Anel Nurtay Michelle Kendall Chris Wymant Matthew Hall Katrina Lythgoe Ana Bulas Cruz Lele Zhao Andrea Stewart Luca Ferretti Daniel Montero James Warren Nicole Mather Matthew Abueg Neo Wu Olivier Legat Katie Bentley Thomas Mead Kelvin Van-Vuuren Dylan Feldner-Busztin Tommaso Ristori Anthony Finkelstein David G Bonsall Lucie Abeler-Dörner Christophe Fraser |
| author_facet | Robert Hinch William J M Probert Anel Nurtay Michelle Kendall Chris Wymant Matthew Hall Katrina Lythgoe Ana Bulas Cruz Lele Zhao Andrea Stewart Luca Ferretti Daniel Montero James Warren Nicole Mather Matthew Abueg Neo Wu Olivier Legat Katie Bentley Thomas Mead Kelvin Van-Vuuren Dylan Feldner-Busztin Tommaso Ristori Anthony Finkelstein David G Bonsall Lucie Abeler-Dörner Christophe Fraser |
| author_sort | Robert Hinch |
| collection | DOAJ |
| description | 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 parameterised to UK demographics and calibrated to the UK epidemic, however, it can easily be re-parameterised for other countries. OpenABM-Covid19 can evaluate non-pharmaceutical interventions, including both manual and digital contact tracing, and vaccination programmes. It can simulate a population of 1 million people in seconds per day, allowing parameter sweeps and formal statistical model-based inference. The code is open-source and has been developed by teams both inside and outside academia, with an emphasis on formal testing, documentation, modularity and transparency. A key feature of OpenABM-Covid19 are its Python and R interfaces, which has allowed scientists and policymakers to simulate dynamic packages of interventions and help compare options to suppress the COVID-19 epidemic. |
| format | Article |
| id | doaj-art-40c60c6d49f340eba2196f65ed314e7d |
| institution | Kabale University |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2021-07-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-40c60c6d49f340eba2196f65ed314e7d2025-08-20T03:44:40ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582021-07-01177e100914610.1371/journal.pcbi.1009146OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing.Robert HinchWilliam J M ProbertAnel NurtayMichelle KendallChris WymantMatthew HallKatrina LythgoeAna Bulas CruzLele ZhaoAndrea StewartLuca FerrettiDaniel MonteroJames WarrenNicole MatherMatthew AbuegNeo WuOlivier LegatKatie BentleyThomas MeadKelvin Van-VuurenDylan Feldner-BusztinTommaso RistoriAnthony FinkelsteinDavid G BonsallLucie Abeler-DörnerChristophe FraserSARS-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 parameterised to UK demographics and calibrated to the UK epidemic, however, it can easily be re-parameterised for other countries. OpenABM-Covid19 can evaluate non-pharmaceutical interventions, including both manual and digital contact tracing, and vaccination programmes. It can simulate a population of 1 million people in seconds per day, allowing parameter sweeps and formal statistical model-based inference. The code is open-source and has been developed by teams both inside and outside academia, with an emphasis on formal testing, documentation, modularity and transparency. A key feature of OpenABM-Covid19 are its Python and R interfaces, which has allowed scientists and policymakers to simulate dynamic packages of interventions and help compare options to suppress the COVID-19 epidemic.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009146&type=printable |
| spellingShingle | Robert Hinch William J M Probert Anel Nurtay Michelle Kendall Chris Wymant Matthew Hall Katrina Lythgoe Ana Bulas Cruz Lele Zhao Andrea Stewart Luca Ferretti Daniel Montero James Warren Nicole Mather Matthew Abueg Neo Wu Olivier Legat Katie Bentley Thomas Mead Kelvin Van-Vuuren Dylan Feldner-Busztin Tommaso Ristori Anthony Finkelstein David G Bonsall Lucie Abeler-Dörner Christophe Fraser OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. PLoS Computational Biology |
| title | OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. |
| title_full | OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. |
| title_fullStr | OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. |
| title_full_unstemmed | OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. |
| title_short | OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. |
| title_sort | openabm covid19 an agent based model for non pharmaceutical interventions against covid 19 including contact tracing |
| url | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009146&type=printable |
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