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. 2020 Aug 28;9:145. doi: 10.1186/s13756-020-00800-y

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© The Author(s) 2020

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Explanation of how JEE data was analysed in this study. The mean of country AMR category scores was used as a ‘mean country AMR score’ (indicated by the blue solid line) and compared to other SSA countries (indicated by the black dotted line). The mean of all the ‘Mean country AMR scores’ was used as a ‘Mean SSA AMR score’ (indicated by the blue solid line) and then compared to other mean SSA sub-areas, e.g. immunisation (indicated by the black dotted line). ‘Mean country AMR scores were also weighted into regions (West, Central, East and Southern Africa) and compared (indicated by the black dotted line)