How many infections of COVID-19 there will be in the "Diamond Princess"-Predicted by a virus transmission model based on the simulation of crowd flow
arXiv:2002.10616
Abstract
Objectives: Simulate the transmission process of COVID-19 in a cruise ship, and then to judge how many infections there will be in the 3711 people in the "Diamond Princess" and analyze measures that could have prevented mass transmission. Methods: Based on the crowd flow model, the virus transmission rule between pedestrians is established, to simulate the spread of the virus caused by the close contact during pedestrians' daily activities on the cruise ship. Measurements and main results: Three types of simulation scenarios are designed, the Basic scenario focus on the process of virus transmission caused by a virus carrier and the effect of the personal protective measure against the virus. The condition that the original virus carriers had disembarked halfway and more and more people strengthen self-protection are considered in the Self-protection scenario, which would comparatively accord with the actual situation of "Diamond princess" cruise. Control scenario are set to simulate the effect of taking recommended or mandatory measures on virus transmission Conclusions: There are 850~1009 persons (with large probability) who have been infected with COVID-19 during the voyage of "Diamond Princess". The crowd infection percentage would be controlled effectively if the recommended or mandatory measures can be taken immediately during the alert phase of COVID-19 outbreaks.
Cited by in corpus (9)
- Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: a pedestrian dynamics-based microscopic simulation approach
- Covid-19 spread: Reproduction of data and prediction using a SIR model on Euclidean network
- Space-time dependence of corona virus (COVID-19) outbreak
- How to restart? An agent-based simulation model towards the definition of strategies for COVID-19 "second phase" in public buildings
- Sustainable and resilient strategies for touristic cities against COVID-19: an agent-based approach
- Simulation-free estimation of an individual-based SEIR model for evaluating nonpharmaceutical interventions with an application to COVID-19 in Iowa
- Agent-Based Campus Novel Coronavirus Infection and Control Simulation
- Modelling the Spread of an Epidemic in Presence of Vaccination using Cellular Automata
- Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases