Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases
Fig 13
a) This experiment focuses on enforcing universal quarantines (isolating every infected individual after detection) on a specific day after the outbreak. Here, the quarantines are applied both before and after the day when the curve of the active cases reaches its peak. Strategies A, B, C, and D enforce a quarantine at 200, 100, 40, and 60 days after the outbreak, respectively. b) This experiment studies the effect of partial quarantine where a specified ratio of currently infected individuals are isolated at a specified date (i.e., the control measure is triggered by a time point condition). The partial quarantine represents a real-world scenario where there is uncertainty in detecting the infected individuals, which can be caused by numerous reasons such as inaccurate test kits or individuals with mild symptoms that do not visit hospitals or test facilities.