Preventing Outbreaks through Interactive, Experiential Real-Life Simulations
Colubri, Andrés ; Kemball, Molly ; Sani, Kian ; Boehm, Chloe ; Mutch-Jones, Karen ; Fry, Ben ; Brown, Todd ; Sabeti, Pardis C
Colubri, Andrés
Kemball, Molly
Sani, Kian
Boehm, Chloe
Mutch-Jones, Karen
Fry, Ben
Brown, Todd
Sabeti, Pardis C
Citations
Altmetric:
Student Authors
Faculty Advisor
Academic Program
Document Type
Journal Article
Publication Date
2020-09-17
Keywords
pathogens
viruses
outbreaks
pandemic response
Operation Outbreak
simulation
education
epidemiological models
prediction
SARS-CoV-2
COVID-19
Bioinformatics
Computer Sciences
Epidemiology
Health Information Technology
Immunology and Infectious Disease
Infectious Disease
Medical Education
Pathogenic Microbiology
Public Health Education and Promotion
Virus Diseases
viruses
outbreaks
pandemic response
Operation Outbreak
simulation
education
epidemiological models
prediction
SARS-CoV-2
COVID-19
Bioinformatics
Computer Sciences
Epidemiology
Health Information Technology
Immunology and Infectious Disease
Infectious Disease
Medical Education
Pathogenic Microbiology
Public Health Education and Promotion
Virus Diseases
Subject Area
Embargo Expiration Date
Link to Full Text
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.
Source
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. Link to article on publisher's site
Year of Medical School at Time of Visit
Sponsors
Dates of Travel
DOI
10.1016/j.cell.2020.08.042
Permanent Link to this Item
PubMed ID
32905783