Your browser doesn't support javascript.
loading
Detecting variations in ovulation and menstruation during the COVID-19 pandemic, using real-world mobile app data.
Nguyen, Brian T; Pang, Raina D; Nelson, Anita L; Pearson, Jack T; Benhar Noccioli, Eleonora; Reissner, Hana R; Kraker von Schwarzenfeld, Anita; Acuna, Juan.
Afiliación
  • Nguyen BT; Department of Obstetrics and Gynecology, Section of Family Planning, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States of America.
  • Pang RD; Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States of America.
  • Nelson AL; Department of Obstetrics and Gynecology, Western University of Health Sciences, Pomona, CA, United States of America.
  • Pearson JT; Natural Cycles, Stockholm, Sweden.
  • Benhar Noccioli E; Natural Cycles, Stockholm, Sweden.
  • Reissner HR; Department of Obstetrics and Gynecology, Section of Family Planning, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States of America.
  • Kraker von Schwarzenfeld A; Natural Cycles, Stockholm, Sweden.
  • Acuna J; Department of Epidemiology and Public Health, Khalifa University, Abu Dhabi, United Arab Emirates.
PLoS One ; 16(10): e0258314, 2021.
Article en En | MEDLINE | ID: mdl-34669726

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ovulación / Pandemias / Aplicaciones Móviles / SARS-CoV-2 / COVID-19 / Menstruación Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ovulación / Pandemias / Aplicaciones Móviles / SARS-CoV-2 / COVID-19 / Menstruación Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos