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Dataset Information

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


ABSTRACT:

Background

Preterm birth, defined as birth at <37 weeks of gestation, is the leading cause of neonatal death globally and the second leading cause of infant mortality in the United States. There is mounting evidence that COVID-19 infection during pregnancy is associated with an increased risk of preterm birth; however, data remain limited by trimester of infection. The ability to study COVID-19 infection during the earlier stages of pregnancy has been limited by available sources of data.

Objective

The objective of this study was to use self-reports in large-scale social media data to assess the association between the trimester of COVID-19 infection and preterm birth.

Methods

In this retrospective cohort study, we used natural language processing and machine learning

SUBMITTER: Klein AZ 

PROVIDER: S-EPMC12266298 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature