Research & Publications

Publications and clinical findings ran by medical experts and peer reviewed by the scientific community. See summary of all our research papers here

Peer-reviewed Publications Conference Abstracts and Scientific Posters

Peer-reviewed Publications

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

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

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

Nguyen BT. et al (2021) PLOS ONE

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

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

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

(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

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

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

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

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

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

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

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

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

Investigating the impact of previous contraceptive choice on unintended pregnancy risk

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

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

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

Pilot effectiveness study of Natural Cycles for pregnancy prevention

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

Identification and prediction of the fertile window using Natural Cycles

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

Conference Abstracts and Scientific Posters

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

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

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

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

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

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

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

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

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

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

Comparison of contraceptive effectiveness between country cohorts

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

Effectiveness of the Natural Cycles app as a method of contraception

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

The acceptability of a mobile application for contraception

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

Conception probability using the Natural Cycles app when planning a pregnancy

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

Impact of Natural Cycles on unintended pregnancies in Sweden

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

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