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. 2017 Nov 1;7:14826. doi: 10.1038/s41598-017-13840-z

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Growth of the number of contaminated surfaces (a). GII 737 outbreak, aisle seatback surfaces, (b) GII 737 outbreak, all surfaces; (c) GI 747 outbreak, aisle seatback surfaces, (d) GI 747 outbreak, all surfaces; (e) predicted result for both surfaces and individuals using a theoretical model shown in Supplementary Section 1.2; and (f) measured results (Supplementary Section 1.3). In (a–d), each graph shows 100 simulations (grey) together with the average of these 100 simulations (black), and the fitting curve using the logistic function (red).