Detecting variations in ovulation and menstruation during the COVID-19 pandemic, using real-world mobile app data.

Detecting variations in ovulation and menstruation during the COVID-19 pandemic, using real-world mobile app data.

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<h4>Background</h4>As war and famine are population level stressors that have been historically linked to menstrual cycle abnormalities, we hypothesized that the COVID-19 pandemic could similarly affect ovulation and menstruation among women.<h4>Methodology</h4>We conducted a...

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Bibliographic Details
Main Authors: Brian T Nguyen, Raina D Pang, Anita L Nelson, Jack T Pearson, Eleonora Benhar Noccioli, Hana R Reissner, Anita Kraker von Schwarzenfeld, Juan Acuna
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0258314

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