Comparison and bias analysis of medically attended acute gastroenteritis incidence estimates derived from electronic health record surveillance versus cross-sectional surveys.

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Bibliographic Details
Title: Comparison and bias analysis of medically attended acute gastroenteritis incidence estimates derived from electronic health record surveillance versus cross-sectional surveys.
Authors: Calderwood LE; Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaUnited States of America.; Cherokee Nation Operational Solutions, Tulsa, Oklahoma, United States of America., Burke RM; Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaUnited States of America., Mattison CP; Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaUnited States of America.; Cherokee Nation Operational Solutions, Tulsa, Oklahoma, United States of America., Schmidt MA; Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, United States of America.; Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, California, United States of America., Groom HC; Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, United States of America., Donald J; Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, United States of America., Hall AJ; Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaUnited States of America., Mirza SA; Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaUnited States of America.
Source: PloS one [PLoS One] 2025 May 19; Vol. 20 (5), pp. e0323425. Date of Electronic Publication: 2025 May 19 (Print Publication: 2025).
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0323425