Forskning & publikationer

Association Between Menstrual Cycle Length and Coronavirus Disease 2019 (COVID-19) Vaccination

Edelman, a. et al (2021), Obstet. Gynecol.

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

Nguyen BT. et al (2021) PLOS ONE

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Time to Pregnancy for Women Using a Fertility Awareness Based Mobile Application to Plan a Pregnancy

Favaro, C. et al. (2021), J Women's Health

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Natural Cycles app: contraceptive outcomes and demographic analysis of UK users

Pearson, J. et al (2020), Eur J Contracep Repr

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(Not) talking about fertility: the role of digital technologies and health services in helping plan pregnancy. A qualitative study

French, R. et al. (2020) BMJ Sex. Reprod. Health

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Fertility and digital technology: narratives of using smartphone app ‘Natural Cycles’ while trying to conceive

Grenfell, P. et al. (2020) Sociol. Health Illn.

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Contraceptive Effectiveness of an FDA-Cleared Birth Control App: Results from the Natural Cycles U.S. Cohort

Pearson, J. et al (2020), J Women's Health

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Advantages of determining the fertile window with the individualised Natural Cycles algorithm over calendar-based methods

Kleinschmidt T. et al. (2019), Eur J Contracep Repr

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Real-world menstrual cycle characteristics of more than 600,000 menstrual cycles

Bull, J. et al. (2019), npj Digital Medicine

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Short- and long-term effect of contraceptive methods on fecundity

Berglund Scherwitzl, E. et al. (2019), Eur J Contracep Repr

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Investigating the impact of previous contraceptive choice on unintended pregnancy risk

Bull, J. et al. (2019), BMJ Open

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Contraceptive effectiveness of the Natural Cycles app involving 22,785 women

Berglund Scherwitzl, E. et al. (2017), Contraception

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Pilot effectiveness study of Natural Cycles for pregnancy prevention

Berglund Scherwitzl, E. et al. (2016), Eur J Contracep Repr

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Identification and prediction of the fertile window using Natural Cycles

Berglund Scherwitzl, E. et al. (2015), Eur J Contracep Repr

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Advantages of determining the fertile window with the individualised Natural Cycles algorithm over calendar-based methods

Kleinschmidt, T. et al. (2020), ESC, Ireland

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Analysis of Menstrual Cycle Data from a Fertility Awareness Based Mobile Application

Bull, J. et al. (2019), ESHRE, Austria

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Effectiveness of a Digital Fertility Awareness-Based App for Contraception in the United States

Rowland, S. et al. (2019), ACOG, USA

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Impact of Sleep Habit on the Contraceptive Effectiveness of a Fertility Awareness-Based App

Rowland, S. et al. (2019), ACOG, USA

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Contraceptive effectiveness of an app in Germany, Australia, Sweden and Finland

Bull, J. et al. (2018), DGGG, Germany (in German)

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Comparison of contraceptive effectiveness between country cohorts

Bull, J. et al. (2018), FIGO, Brazil (Page 951)

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Effectiveness of the Natural Cycles app as a method of contraception

Bull, J. et al. (2018), ASRM, USA

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The acceptability of a mobile application for contraception

Lundberg, O. et al. (2018), ESC, Hungary

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Conception probability using the Natural Cycles app when planning a pregnancy

Lundberg, O. et al. (2018), ESHRE, Spain

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Impact of Natural Cycles on unintended pregnancies in Sweden

Bull, J. et al. (2018), SFOG, Sweden

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