RKnot
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Introduction
ARCHITECTURE
Viral Spread Theory in RKnot
Key Concepts
Sizing
SIMULATIONS
SIR: Factors Influencing Spread
Dynamic Transmission Risk
Multiple Jurisdictions
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RKnot - Beta
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RKnot - Beta
ΒΆ
A Simulation Space for Analyzing Viral Spread in Customized Populations
Introduction
Basic Example
Next Steps
ARCHITECTURE
Viral Spread Theory in RKnot
\(R_0\)
Static Transmission Risk
Expected Contact Rate
Likelihood of Transmission
Dynamic Transmission Risk
Hutch Model
Other Forms of Heterogeneity
The Average Contact
References
Key Concepts
The Sim
Subjects
Dots
Groups
The Grid
Mover Functions
Boxes and Gates
Boxes
Gates
VBoxes
Events
Event
Travel
Quarantine
Social Distancing
Vaccination
Restrictions
Dot Matrix
Sizing
Importance of Distributions
Constant Contact Rate and Transmission Risk
Daily Contact Distribution
Curve Details
Secondary Infection Distribution
Movement Changes
Local Bias
Interplay of Movement and Density
Location Clustering
\(R_0\)
Distribution
Complex Environments
Hutch Model:
\(R_0\)
of 1.8
SIMULATIONS
SIR: Factors Influencing Spread
Base US Simulation
Natural
1. Equal
2. Local
3. Social
4. Pre-Existing Immunity
5. Events
6. Gates
7. Pre-Immunity with Events and Gates
8. Self Aware Social Distancing
9. Self Aware Social Distancing + Pre-Immunity
10. Isolation
Policy
1. Restrict Large Gatherings
2. Social Distancing
3. Restrict Elderly Visits
4. Social Distancing and Restrict Elderly Visits and Large Gatherings
5. Quarantine
6. Quarantine with Adherence
Dynamic Transmission Risk
Structure
Events
Care Homes
Capacity Restriction
Capacity Restrictions with Adherence
Social Distancing
Social Distancing with Adherence
Restrict Elderly Visits
Schools
Capacity Restriction w School Exception
Capacity Restriction w School Exception and Non-Compliance
Separate Restrictions for Schools
Multiple Jurisdictions
Mixed
Borders
Border Crossings
Crossings with Event Access
Care Homes
Care Homes - 10Max
Care Homes - 25Max
Independent Policy
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