About: Covasim: an agent-based model of COVID-19 dynamics and interventions

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Covasim: an agent-based model of COVID-19 dynamics and interventions
Creator	Palmer, Anna Chang, Stewart Famulare, Michael Klein, Daniel Hart, Gregory Hagedorn, Brittany Mistry, Dina Selvaraj, Prashanth Panovska-Griffiths, Jasmina Wagner, Bradley Abeysuriya, Romesh Bennette, Carrie Cohen, Jamie Delport, Dominic George, Lauren Izzo, Amanda Jastrzębski, Michał Kerr, Cliff Núñez, Rafael Oron, Assaf Rosenfeld, Katherine Stuart, Robyn Wenger, Edward
Source	MedRxiv
abstract	The COVID-19 pandemic has created an urgent need for models that can project epidemic trends, explore intervention scenarios, and estimate resource needs. Here we describe the methodology of Covasim (COVID-19 Agent-based Simulator), an open-source model developed to help address these questions. Covasim includes demographic information on age structure and population size; realistic transmission networks in different social layers, including households, schools, workplaces, and communities; age-specific disease outcomes; and intrahost viral dynamics, including viral-load-based transmissibility. Covasim also supports an extensive set of interventions, including non-pharmaceutical interventions, such as physical distancing, hygiene measures, and protective equipment; and testing interventions, such as symptomatic and asymptomatic testing, isolation, contact tracing, and quarantine. These interventions can incorporate the effects of delays, loss-to-follow-up, micro-targeting, and other factors. In collaboration with local health agencies and policymakers, Covasim has already been applied to examine disease dynamics and policy options in Africa, Europe, Oceania, and North America.
has issue date	2020-05-15(xsd:dateTime)
bibo:doi	10.1101/2020.05.10.20097469
has license	medrxiv
sha1sum (hex)	72dbd72a131268be7f8c7e3ca2421919c93b388c
schema:url	https://doi.org/10.1101/2020.05.10.20097469
resource representing a document's title	Covasim: an agent-based model of COVID-19 dynamics and interventions
resource representing a document's body	covid:72dbd72a131268be7f8c7e3ca2421919c93b388c#body_text
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