COVIDStrategyCalculator
COVIDStrategyCalculator evaluates non-pharmaceutical interventions and testing strategies for SARS-CoV-2 by quantifying residual infectious risk and the effects of quarantine, isolation, and testing on transmission potential.
Key Features:
- Residual Risk Assessment: Quantifies the probability that an individual released from quarantine or isolation remains infectious.
- Risk Reduction Analysis: Calculates the effectiveness of NPIs in reducing SARS-CoV-2 transmission potential.
- Test Efficacy Evaluation: Assesses testing strategies by considering test sensitivity and timing relative to infection stages.
- User-Defined Strategy Evaluation: Evaluates arbitrary combinations of NPIs and testing strategies to simulate tailored scenarios.
Scientific Applications:
- Within-host viral dynamics modeling: Uses a stochastic within-host viral dynamics model to represent temporal attributes of SARS-CoV-2 infection, including test sensitivity, infectiousness, and symptom occurrence.
- Containment strategy evaluation: Simulates and compares quarantine, isolation, and testing regimens to estimate reductions in transmission potential for travelers, contact persons, and de-isolation decisions.
- Diagnostics and variant assessment: Enables hypothesis testing of novel diagnostics and the potential impact of emerging virus variants on containment measures.
Methodology:
Implements a recently published stochastic within-host viral-dynamics model to simulate temporal profiles of infectiousness, test sensitivity, and symptom onset and to compute residual risk, risk reduction, and test efficacy for specified NPI and testing strategies.
Topics
Collections
Details
- License:
- LGPL-3.0
- Tool Type:
- web application
- Programming Languages:
- C++
- Added:
- 1/18/2021
- Last Updated:
- 2/18/2021
Operations
Publications
van der Toorn W, Oh D, von Kleist M. COVIDStrategyCalculator: A software to assess testing- and quarantine strategies for incoming travelers, contact person management and de-isolation. Unknown Journal. 2020. doi:10.1101/2020.11.18.20233825.