Preventing Outbreaks through Interactive, Experiential Real-Life Simulations
dc.contributor.author | Colubri, Andres | |
dc.contributor.author | Kemball, Molly | |
dc.contributor.author | Sani, Kian | |
dc.contributor.author | Boehm, Chloe | |
dc.contributor.author | Mutch-Jones, Karen | |
dc.contributor.author | Fry, Ben | |
dc.contributor.author | Brown, Todd | |
dc.contributor.author | Sabeti, Pardis C. | |
dc.date | 2022-08-11T08:08:09.000 | |
dc.date.accessioned | 2022-08-23T15:44:29Z | |
dc.date.available | 2022-08-23T15:44:29Z | |
dc.date.issued | 2020-09-17 | |
dc.date.submitted | 2020-09-22 | |
dc.identifier.citation | <p>Colubri A, Kemball M, Sani K, Boehm C, Mutch-Jones K, Fry B, Brown T, Sabeti PC. Preventing Outbreaks through Interactive, Experiential Real-Life Simulations. Cell. 2020 Sep 17;182(6):1366-1371. doi: 10.1016/j.cell.2020.08.042. Epub 2020 Sep 2. PMID: 32905783. <a href="https://doi.org/10.1016/j.cell.2020.08.042">Link to article on publisher's site</a></p> | |
dc.identifier.issn | 0092-8674 (Linking) | |
dc.identifier.doi | 10.1016/j.cell.2020.08.042 | |
dc.identifier.pmid | 32905783 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/27326 | |
dc.description.abstract | Operation Outbreak (OO) is a Bluetooth-based simulation platform that teaches students how pathogens spread and the impact of interventions, thereby facilitating the safe reopening of schools. OO also generates data to inform epidemiological models and prevent future outbreaks. Before SARS-CoV-2 was reported, we repeatedly simulated a virus with similar features, correctly predicting many human behaviors later observed during the pandemic. | |
dc.language.iso | en_US | |
dc.relation | <p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=32905783&dopt=Abstract">Link to Article in PubMed</a></p> | |
dc.relation.url | https://doi.org/10.1016/j.cell.2020.08.042 | |
dc.subject | pathogens | |
dc.subject | viruses | |
dc.subject | outbreaks | |
dc.subject | pandemic response | |
dc.subject | Operation Outbreak | |
dc.subject | simulation | |
dc.subject | education | |
dc.subject | epidemiological models | |
dc.subject | prediction | |
dc.subject | SARS-CoV-2 | |
dc.subject | COVID-19 | |
dc.subject | Bioinformatics | |
dc.subject | Computer Sciences | |
dc.subject | Epidemiology | |
dc.subject | Health Information Technology | |
dc.subject | Immunology and Infectious Disease | |
dc.subject | Infectious Disease | |
dc.subject | Medical Education | |
dc.subject | Pathogenic Microbiology | |
dc.subject | Public Health Education and Promotion | |
dc.subject | Virus Diseases | |
dc.title | Preventing Outbreaks through Interactive, Experiential Real-Life Simulations | |
dc.type | Journal Article | |
dc.source.journaltitle | Cell | |
dc.source.volume | 182 | |
dc.source.issue | 6 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/covid19/112 | |
dc.identifier.contextkey | 19505253 | |
html.description.abstract | <p>Operation Outbreak (OO) is a Bluetooth-based simulation platform that teaches students how pathogens spread and the impact of interventions, thereby facilitating the safe reopening of schools. OO also generates data to inform epidemiological models and prevent future outbreaks. Before SARS-CoV-2 was reported, we repeatedly simulated a virus with similar features, correctly predicting many human behaviors later observed during the pandemic.</p> | |
dc.identifier.submissionpath | covid19/112 | |
dc.contributor.department | Department of Microbiology and Physiological Systems | |
dc.contributor.department | Program in Bioinformatics and Integrative Biology | |
dc.source.pages | 1366-1371 |