SOCRATES: an online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19.
Lander WillemThang Van HoangSebastian FunkPietro ColettiPhilippe BeutelsNiel HensPublished in: BMC research notes (2020)
We organized data sharing of published social contact surveys via online repositories and formatting guidelines. We analyzed this social contact data in terms of weighted social contact matrices, next generation matrices, relative incidence and R[Formula: see text]. We incorporated location-specific physical distancing measures (e.g. school closure or at work) and capture their effect on transmission dynamics. All methods have been implemented in an online application based on R Shiny and applied to COVID-19 with age-specific susceptibility and infectiousness. Using our online tool with the available social contact data, we illustrate that physical distancing could have a considerable impact on reducing transmission for COVID-19. The effect itself depends on assumptions made about disease-specific characteristics and the choice of intervention(s).
Keyphrases
- mental health
- coronavirus disease
- sars cov
- healthcare
- electronic health record
- social media
- health information
- physical activity
- big data
- randomized controlled trial
- magnetic resonance
- climate change
- magnetic resonance imaging
- risk factors
- cross sectional
- smoking cessation
- machine learning
- artificial intelligence
- low birth weight
- contrast enhanced
- network analysis