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Corrigenda and Addenda (129)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87042, first published .
Correction: Best Practices for Data Modernization Across the United States Public Health System: Scoping Review

Correction: Best Practices for Data Modernization Across the United States Public Health System: Scoping Review

Correction: Best Practices for Data Modernization Across the United States Public Health System: Scoping Review

Authors of this article:

Zebunnesa Zeba1 Author Orcid Image ;   Stella T Lartey2 Author Orcid Image ;   Polina Durneva3 Author Orcid Image ;   Shongkour Roy1 Author Orcid Image ;   Niharika Jha1 Author Orcid Image ;   Michael Arthur Ofori1 Author Orcid Image ;   Nidhi Mittal1 Author Orcid Image ;   Stella Dockery1 Author Orcid Image ;   Nichole Saulsberry Scarboro1 Author Orcid Image ;   Michelle Taylor4 Author Orcid Image ;   Ashish Joshi1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    1School of Public Health, University of Memphis, Robinson Hall, Memphis, TN, United States

    2Department of Public Health Sciences, College of Behavioral, Social, and Health Sciences, Clemson University, Clemson, SC, United States

    3Department of Information Systems and Business Analytics, Loyola Marymount University, Los Angeles, CA, United States

    4Baltimore City Health Department, Baltimore, MD, United States

    Corresponding Author:

    Zebunnesa Zeba, MS, MPH



    In “Best Practices for Data Modernization Across the United States Public Health System: Scoping Review” [1], the authors made three corrections.

    In the abstract, the search end date has been amended from “April 30, 2024,” to “April 15, 2024.” This has also been further specified in the “Methods” section and in Table 1.

    In the abstract:

    A structured search was performed in databases PubMed, Scopus, CINAHL, and PsycINFO, and was complemented by a further search in the Google Scholar search engine, covering publications from January 1, 2019, to April 30, 2024.

    has been revised to:

    A structured search was performed in the PubMed, Scopus, CINAHL, and PsycINFO databases and was complemented by a further search in the Google Scholar search engine, covering publications from January 1, 2019, to April 15, 2024.

    In the “Methods” section:

    The search was conducted from January 10, 2024, to April 15, 2024.

    has been revised to:

    The search was conducted from January 10, 2024, to April 15, 2024, with no studies published after April 15, 2024, included in the review.

    In the “Publication date” row of Table 1:

    Published between January 1, 2019, and April 30, 2024

    has been revised to:

    Published between January 1, 2019, and April 30, 2024. However, the database search concluded on April 15, 2024, and no studies published after that date were included in the review.

    These corrections will appear in the online version of “Best Practices for Data Modernization Across the United States Public Health System: Scoping Review” [1] on the JMIR Publications website, together with the publication of this correction notice. Because these changes were made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    1. Zeba Z, Lartey ST, Durneva P, et al. Best practices for data modernization across the United States public health system: scoping review. J Med Internet Res. Oct 24, 2025;27:e70946. [CrossRef] [Medline]

    This is a non–peer-reviewed article. submitted 03.Nov.2025; accepted 03.Nov.2025; published 11.Nov.2025.

    Copyright

    © Zebunnesa Zeba, Stella T Lartey, Polina Durneva, Shongkour Roy, Niharika Jha, Michael Arthur Ofori, Nidhi Mittal, Stella Dockery, Nichole Saulsberry Scarboro, Michelle Taylor, Ashish Joshi. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.Nov.2025.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.