This paper is in the following e-collection/theme issue:

Misinformation and Disinformation Outbreaks and Information Prevalence Studies (44) JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) eHealth Literacy / Digital Literacy (390) Information Seeking, Information Needs (465) Pregnancy Information, Education and Lifestyle Interventions (300) Infodemiology and Infoveillance (1349) Prevention and Health Promotion (987) Information Demand (32)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31774, first published .
COVID-19 Information Sources and Health Behaviors During Pregnancy: Results From a Prenatal App-Embedded Survey

COVID-19 Information Sources and Health Behaviors During Pregnancy: Results From a Prenatal App-Embedded Survey

COVID-19 Information Sources and Health Behaviors During Pregnancy: Results From a Prenatal App-Embedded Survey

Authors of this article:

James Bohnhoff1 Author Orcid Image ;   Alexander Davis2 Author Orcid Image ;   Wändi Bruine de Bruin3, 4 Author Orcid Image ;   Tamar Krishnamurti5 Author Orcid Image
Article Authors Cited by (4) Tweetations (14) Metrics

Journals

  1. Shen Z, Zhong Z, Xie J, Zhang Q, Li S. The Effects of Information-Seeking Behaviors on Risk Perception During the COVID-19 Pandemic: A Cross-Sectional Correlational Survey. Psychology Research and Behavior Management 2022;Volume 15:1707 View
  2. Cox E, Sanchez M, Taylor K, Baxter C, Crary I, Every E, Futa B, Adams Waldorf K. A Mother’s Dilemma: The 5-P Model for Vaccine Decision-Making in Pregnancy. Vaccines 2023;11(7):1248 View
  3. Nahum S, Kushnir T. The Relationship between Socio-Demographic Factors, Preventive Health Behaviors and Acceptance of COVID-19 Vaccine among Israeli Pregnant Women during the Coronavirus Pandemic. International Journal of Environmental Research and Public Health 2023;20(15):6526 View
  4. Krishnamurti T, Rodriguez S, Wilder B, Gopalan P, Simhan H. Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data. Archives of Women's Mental Health 2024 View