Correction: Assessing and Improving Data Integrity in Web-Based Surveys: Comparison of Fraud Detection Systems in a COVID-19 Study
Stephen Bonett, Willey Lin, Patrina Sexton Topper, James Wolfe, Jesse Golinkoff, Aayushi Deshpande, Antonia Villarruel, José Bauermeister
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsData-Driven Disease Surveillance · Imbalanced Data Classification Techniques · Survey Methodology and Nonresponse
In “Assessing and improving data integrity in web-based surveys: Comparison of fraud detection systems in a COVID-19 study” (JMIR Form Res 2024;8:e47091) the authors made one change.
The Acknowledgments section has been updated from:
to:
The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.