Front. Public Health Frontiers in Public Health Front. Public Health 2296-2565 Frontiers Media S.A. 10.3389/fpubh.2023.1192743 Public Health Correction Corrigendum: Joint effects of individual socioeconomic status and residential neighborhood context on vaginal microbiome composition Dixon Meredith 1 Dunlop Anne L. 1 2 Corwin Elizabeth J. 3 Kramer Michael R. 1 * 1Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States 2Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, United States 3Columbia University School of Nursing, New York, NY, United States

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland

 *Correspondence: Michael R. Kramer mkram02@emory.edu 10 05 2023 2023 11 1192743 23 03 2023 19 04 2023 Copyright © 2023 Dixon, Dunlop, Corwin and Kramer. 2023 Dixon, Dunlop, Corwin and Kramer

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 A corrigendum on Joint effects of individual socioeconomic status and residential neighborhood context on vaginal microbiome composition by Dixon, M., Dunlop, A. L., Corwin, E. J., and Kramer, M. R. (2023). Front. Public Health 11:1029741. doi: 10.3389/fpubh.2023.1029741 microbiota social environment neighborhood characteristics pregnancy United States dysbiosis section-at-acceptance Life-Course Epidemiology and Social Inequalities in Health Text correction

In the published article, there was an error.

A correction has been made to Methods section, Paragraph 5. This section previously stated:

“To quantify aspects of the racial and economic diversity of each woman's neighborhood during the day (e.g., from non-residents visiting), we used a large database of daily mobility as captured from mobile phone GPS apps, as provided by Cuebiq, a data aggregation firm. Cuebiq aggregated mobile phone location data, which are collected by select smartphone apps from about 15 million anonymous users who opted in to data collection for research purposes through a GDPR and CCPA compliant framework.”

The corrected sentence appears below:

“To quantify aspects of the racial and economic diversity of each woman's neighborhood during the day (e.g., from non-residents visiting), we used a large database of daily mobility as captured from mobile device GPS apps. Mobile device location data were collected by select apps and subsequently aggregated from about 15 million anonymous users who opted in to data collection for research purposes through a GDPR and CCPA compliant framework.”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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