Multiagent model simulation : Impact of cluster interventions
Research and Development by
Asako CHIBA, The Tokyo Foundation for Policy Research
Corresponding Research Area
Open Collaboration Partners
The project performed simulations for (1) daily testing (tests of only 50% of symptomatic population) and (2) daily testing + cluster interventions (ref.: daily testing + random testing) to estimate the trend for new infections and evaluate the efficiency of testing strategies
Note: Cluster interventions: For groups of 3 or more positive patients, identification and testing of primary and secondary contacts of positive patients
Courtesy of : Tokyo Foundation for Policy Research
- Cluster interventions require a significant increase in the number of tests performed, but are effective at restraining transmission.
- Achieving equivalent positivity trends to cluster interventions would require random testing of 1% of the asymptomatic population. Cluster interventions are able to restrain infection growth with fewer tests.