Ontology highlight
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