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. 2021 Dec 11;240:113882. doi: 10.1016/j.ijheh.2021.113882

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© 2021 Published by Elsevier GmbH.

Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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Fig. 2 — (a) Beta diversity was analyzed using principal coordinates analysis (PCoA) by Bray Curtis, showing segregation of the HC group, COVID-19 (abx-) group, COVID-19 (abx+) group, and PC (abx+) group. Beta-diversity boxplots based on Bray-Curtis distances of metagenomics samples from the (b) same group (intra-beta diversity) and (c) between groups (inter-beta diversity). (d) Linear discriminant analysis effect size (LEfSe) histogram used to compare the HC group, COVID-19 (abx-) group, COVID-19 (abx+) group, and PC (abx+) group. (e) Venn diagram showing shared and unique ARG subtypes amongst four groups. (f) Shared ARGs and abundance comparisons in the HC group, COVID-19 (abx-) group, COVID-19 (abx+) group, and PC (abx+) group. In the stacked bar plot, the percentage (%) of a specific ARG in one of the four groups is equal to the ratio of its corresponding abundance to the sum of the abundances of the ARG in the four groups.