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. 2020 Apr 30;20:163. doi: 10.1186/s12883-020-01749-6

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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 — Gender and racial-ethnic standardised annual prevalence of multiple sclerosis. Estimates expressed per 100,000 population. Error bars represent 95% CIs based on the normal distribution. Direct standardised estimates shown for gender (men/women) and racial-ethnic (white, black, Asian, Hispanic, and other) strata based on the distribution in the reference population from the US Census for each year across 20 state counties in Northern California: Alameda, Amador, Contra Costa, El Dorado, Lake, Marin, Merced, Napa, Placer, Sacramento, San Francisco, San Joaquin, San Mateo, Santa Clara, Santa Cruz, Solano, Sonoma, Stanislaus, Sutter, and Yolo. CIs confidence intervals, MS multiple sclerosis