About: CovidSim

An Entity of Type: software, from Named Graph: http://dbpedia.org, within Data Space: dbpedia.org

CovidSim is an epidemiological model for COVID-19 developed by Imperial College COVID-19 Response Team, led by Neil Ferguson. The Imperial College study addresses the question: If complete suppression is not feasible, what is the best strategy combining incomplete suppression and control that is feasible and leads to acceptable outcomes?

Property	Value
dbo:abstract	CovidSim is an epidemiological model for COVID-19 developed by Imperial College COVID-19 Response Team, led by Neil Ferguson. The Imperial College study addresses the question: If complete suppression is not feasible, what is the best strategy combining incomplete suppression and control that is feasible and leads to acceptable outcomes? (en)
dbo:author	dbr:Neil_Ferguson_(epidemiologist)
dbo:programmingLanguage	dbr:C++
dbo:wikiPageExternalLink	https://covidsim.org/ https://github.com/codecheckers/covid-report9 https://github.com/mrc-ide/covid-sim
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dbo:wikiPageWikiLink	dbr:Boris_Johnson dbr:List_of_Covid-19_simulation_models dbr:University_of_Cambridge dbr:MedRxiv dbr:Nature_(journal) dbr:GitHub dbr:Mathematical_modelling_of_infectious_disease dbr:C++ dbr:Agent-based_model dbr:Anaconda_(Python_distribution) dbr:Fortran dbc:COVID-19_models dbr:The_Atlantic dbr:The_Daily_Telegraph dbr:John_Carmack dbr:BMJ_Open dbr:Michael_Wooldridge_(computer_scientist) dbr:Neil_Ferguson_(epidemiologist) dbr:New_Scientist dbr:C_programming_language dbr:MRC_Centre_for_Global_Infectious_Disease_Analysis dbr:New_England_Complex_Systems_Institute dbr:Imperial_College_COVID-19_Response_Team dbr:Reproducibility
dbp:author	dbr:Neil_Ferguson_(epidemiologist)
dbp:license	GNU General Public License v3.0 (en)
dbp:programmingLanguage	dbr:C++
dbp:repo	https://github.com/mrc-ide/covid-sim
dbp:title	CovidSim (en)
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rdfs:comment	CovidSim is an epidemiological model for COVID-19 developed by Imperial College COVID-19 Response Team, led by Neil Ferguson. The Imperial College study addresses the question: If complete suppression is not feasible, what is the best strategy combining incomplete suppression and control that is feasible and leads to acceptable outcomes? (en)
rdfs:label	CovidSim (en)
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is foaf:primaryTopic of	wikipedia-en:CovidSim