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. 2022 Apr 6;19(189):20210811. doi: 10.1098/rsif.2021.0811

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© 2022 The Authors.

Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

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Figure 3. — Time to invasion among SARS-CoV-2 simulations which do not burn out. Invasion is defined as 1000 cumulative infections. Scenarios (a–c) modulate the number of initial cases (1, 10 and 100) and columns modulate the effective reproductive number of the initial variant, respectively. Low R_e and low number of initial cases (a(i)) is associated with a higher median and larger variance in time to invasion. Differences in y-axis scale through rows highlight that there is less extinction in scenarios with higher numbers of initial cases and higher R_e.