COVID-19 Scenarios
COVID-19 Scenarios simulates the spread of SARS-CoV-2 using an age-structured SEIR model with additional compartments for severe and critical cases to project healthcare demand and intervention effects.
Key Features:
- Age-Structured Modeling: Implements age-specific parameters to model differential susceptibility, severity, and outcomes across demographic groups.
- Severe and Critical Compartments: Extends the SEIR framework with separate compartments for severely and critically ill patients to estimate healthcare burden.
- Infection Control and Mitigation Parameters: Allows specification of measures that reduce transmission rates and age-group specific isolation protocols.
- Customizable Simulations: Supports adjustment of a wide range of epidemiological parameters to explore alternative scenarios and hypotheses.
- Client-Side Execution and Data Export: Runs simulations client-side and provides export of parameter settings and simulation results for further analysis.
Scientific Applications:
- Healthcare Demand Projection: Projects hospital and critical care needs by incorporating severe and critical case compartments.
- Intervention Assessment: Evaluates the impact of transmission-reducing measures and age-specific isolation on epidemic trajectories.
- Demographic-Targeted Analysis: Quantifies age-specific outcomes to inform targeted public health responses.
Methodology:
Uses an age-structured SEIR epidemiological model augmented with compartments for severe and critical cases, with adjustable transmission rates and age-specific isolation measures; simulations execute on the client side.
Topics
Collections
Details
- License:
- MIT
- Tool Type:
- web application
- Programming Languages:
- JavaScript, Python
- Added:
- 1/18/2021
- Last Updated:
- 2/17/2021
Operations
Publications
Noll NB, Aksamentov I, Druelle V, Badenhorst A, Ronzani B, Jefferies G, Albert J, Neher RA. COVID-19 Scenarios: an interactive tool to explore the spread and associated morbidity and mortality of SARS-CoV-2. Unknown Journal. 2020. doi:10.1101/2020.05.05.20091363.