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Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data

Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data

The institutional review boards of the University of Pennsylvania and Cedars-Sinai Medical Center reviewed this study and deemed it exempt. The publicly available data used in this study were collected and analyzed in accordance with the Twitter Terms of Service. The sample tweets in Table 1 have been lightly edited to deidentify the Twitter user.

Ari Z Klein, Shriya Kunatharaju, Su Golder, Lisa D Levine, Jane C Figueiredo, Graciela Gonzalez-Hernandez

J Med Internet Res 2025;27:e66097

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Article has an altmetric score of 4

Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers

Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers

The institutional review boards of the University of Pennsylvania and Cedars-Sinai Medical Center deemed this study exempt. We searched for mentions of ADHD, ASD, delayed speech, and asthma among all the tweets posted by more than 100,000 users who reported their pregnancy on Twitter [8]. We then searched these matching tweets for references to a child and the user, and excluded tweets that matched specific patterns indicating the user’s own disorder.

Ari Z Klein, José Agustín Gutiérrez Gómez, Lisa D Levine, Graciela Gonzalez-Hernandez

J Med Internet Res 2024;26:e50652

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Article has an altmetric score of 4