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. 2022 Jul 7;609(7925):101–108. doi: 10.1038/s41586-022-05049-6

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© The Author(s) 2022

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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Fig. 1 — a, Geospatial distribution of the 131 actively deployed wastewater autosamplers and the corresponding 360 university buildings on the campus sewer network. Building-specific data have been de-identified in accordance with university reporting policies. b, Campus wastewater (WW) and diagnostic testing statistics over the 295-day sampling period (positivity is the fraction of WW samplers with a positive qPCR signal). c, Virus diversity in wastewater and clinical samples; boxplots of Shannon entropy (top) and richness (bottom) for each sample type (n = 153 WW—a subset chosen to maximize sample independence; see Methods—and n = 5,888 clinical). Box edges specify the first and third quartiles, the solid line indicates the median, and the whiskers delimit the maximum and minimum values. Map in a is the intellectual property of Esri and its licensors and are used herein under license. Copyright © 2022 Esri and its licensors. All rights reserved.