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Mathematical Modeling for Women’s Health

Collaborative Workshop for Women in Mathematical Biology

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  • Open Access
  • © 2024

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Overview

Editors:
  1. Ashlee N. Ford Versypt

    1. Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Rebecca A. Segal

    1. Department of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Suzanne S. Sindi

    1. Department of Applied Mathematics, University of California Merced, Merced, USA

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    You can also search for this editor in PubMed   Google Scholar

  • This book is open access, which means that you have free and unlimited access
  • Showcase how mathematics is used to solve a variety of problems around women’s health
  • Collection of recent works done by experts in the fields of model design, parameter estimation, data science, and dynamical systems
  • Presents some of the highlights of the workshops, and collect papers covering a broad range of topics

Part of the book series: The IMA Volumes in Mathematics and its Applications (IMA, volume 166)

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About this book

The purpose of this work is to focus mathematical modeling on issues affecting women’s health. Working in six collaborative teams, researchers developed new mathematical models to address questions in a range of application areas. Topics include HIV, oral contraceptives, blood clotting, breast cancer, neonatal respiration, and outbreak forecasting. The work is the result of newly formed collaborative groups begun during the Collaborative Workshop for Women in Mathematical Biology hosted by the Institute of Mathematics and its Applications and UnitedHealth Group Optum in June 2022.

This is an open access book.

Keywords

Table of contents (7 chapters)

  1. Front Matter

    Pages i-v
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  2. Collaborative Workshop for Women in Mathematical Biology: Mathematical Modeling for Women’s Health

    • Ashlee N. Ford Versypt, Rebecca A. Segal, Suzanne S. Sindi
    Pages 1-7Open Access
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  3. Extended-Release Pre-exposure Prophylaxis and Drug-Resistant HIV

    • Yanping Ma, Yeona Kang, Angelica Davenport, Jennifer Mawunyo Aduamah, Kathryn Link, Katharine Gurski
    Pages 9-50Open Access
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  4. A Survey of Mathematical Modeling of Hormonal Contraception and the Menstrual Cycle

    • Lihong Zhao, Ruby Kim, Lucy S. Oremland, Mukti Chowkwale, Lisette G. de Pillis, Heather Z. Brooks
    Pages 51-82Open Access
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  5. Studying the Effects of Oral Contraceptives on Coagulation Using a Mathematical Modeling Approach

    • Amy Kent, Karin Leiderman, Anna C. Nelson, Suzanne S. Sindi, Melissa M. Stadt, Lingyun (Ivy) Xiong et al.
    Pages 83-132Open Access
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  6. Deconstructing the Contributions of Heterogeneity to Combination Treatment of Hormone-Sensitive Breast Cancer

    • Samantha Linn, Jenna A. Moore-Ott, Robyn Shuttleworth, Wenjing Zhang, Morgan Craig, Adrianne L. Jenner
    Pages 133-165Open Access
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  7. Towards a Mathematical Understanding of Ventilator-Induced Lung Injury in Preterm Rat Pups

    • Rayanne A. Luke, Gess Kelly, Melissa Stoner, Jordana Esplin O’Brien, Sharon R. Lubkin, Laura Ellwein Fix
    Pages 167-211Open Access
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  8. Estimation of Time-Dependent Transmission Rate for COVID-19 SVIRD Model Using Predictor–Corrector Algorithm

    • Ruiyan Luo, Alejandra D. Herrera-Reyes, Yena Kim, Susan Rogowski, Diana White, Alexandra Smirnova
    Pages 213-237Open Access
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  9. Back Matter

    Pages 239-240
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Editors and Affiliations

  • Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, USA

    Ashlee N. Ford Versypt

  • Department of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, USA

    Rebecca A. Segal

  • Department of Applied Mathematics, University of California Merced, Merced, USA

    Suzanne S. Sindi

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