• The total number of prevalent cases of UFs in women aged 20-54 in the countries under study (United States, France, Germany, Italy, Spain, United Kingdom, and Japan) will decline by 8% over the forecast period, from 69 million in 2017 to 63 million in 2037.
  • Of the countries considered in this analysis, Italy has the highest total prevalence of UFs: 66%.
  • Most women with UFs are unaware they have the disease; only 39% of women aged 20-54 living with the disease have been diagnosed.

Table of contents

  • Uterine Fibroids - Epidemiology - Mature Markets Data

Author(s): Ema Rodrigues, DSc, MPH; Nishant Kumar, MPH

Ema is an epidemiologist with expertise in forecasting incident and prevalent populations within oncology, as well as some cardiovascular indications such as venous thromboembolism. She has significant experience with statistical methods such as multivariate linear regression, conditional logistic regression, principal components analysis, mixed models, hierarchical modeling, and path analysis to account for the complex relationships among various predictors of health outcomes, particularly correlated variables.

She completed her master’s and doctoral degree (MPH, D.Sc.) in Environmental Health at Boston University School of Public Health, where she worked on projects investigating significant predictors of various health outcomes including central nervous system cancer, cognitive function, and birth outcomes.


Nishant is a senior epidemiologist and head of oncology within the epidemiology team at Decision Resources Group. He also covers some CNS diseases, including Alzheimer’s disease and dementia. His key interests are developing interactive patient flows, and modelling disease progression to forecast commercially relevant drug-treatable incident and prevalent populations. Nishant also spends a lot of time collaborating with clients to help answer more specific questions through custom work and consulting projects.

His qualifications include an MSc in Public Health with specialization in epidemiology and statistics from King’s College London, and a BSc in Medical Studies from the University of Birmingham.

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