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Epidemiology/Health Services Research
‘Turning the tide’ on hyperglycemia in pregnancy: insights from multiscale dynamic simulation modeling

Authors

  • Louise Freebairn The Australian Prevention Partnership Centre, Sax Institute, Haymarket, New South Wales, AustraliaSchool of Medicine, The University of Notre Dame Australia, Darlinghurst, New South Wales, AustraliaPopulation Health, ACT Health, Woden, Australian Capital Territory, Australia PubMed articlesGoogle scholar articles
  • Jo-an Atkinson The Australian Prevention Partnership Centre, Sax Institute, Haymarket, New South Wales, AustraliaBrain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia PubMed articlesGoogle scholar articles
  • Yang Qin Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada PubMed articlesGoogle scholar articles
  • Christopher J Nolan Endocrinology and Diabetes, ACT Health, Woden, Australian Capital Territory, AustraliaMedical School, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia PubMed articlesGoogle scholar articles
  • Alison L Kent Medical School, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, AustraliaGolisano Children’s Hospital at URMC, University of Rochester, Rochester, New York, USA PubMed articlesGoogle scholar articles
  • Paul M Kelly Population Health, ACT Health, Woden, Australian Capital Territory, AustraliaMedical School, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia PubMed articlesGoogle scholar articles
  • Luke Penza School of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, New South Wales, Australia PubMed articlesGoogle scholar articles
  • Ante Prodan School of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, New South Wales, Australia PubMed articlesGoogle scholar articles
  • Anahita Safarishahrbijari Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada PubMed articlesGoogle scholar articles
  • Weicheng Qian Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada PubMed articlesGoogle scholar articles
  • Louise Maple-Brown Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, AustraliaEndocrinology Department, Royal Darwin Hospital, Casuarina, Northern Territory, Australia PubMed articlesGoogle scholar articles
  • Roland Dyck Department of Medicine, University of Saskatchewan College of Medicine, Saskatoon, Saskatchewan, Canada PubMed articlesGoogle scholar articles
  • Allen McLean Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada PubMed articlesGoogle scholar articles
  • Geoff McDonnell The Australian Prevention Partnership Centre, Sax Institute, Haymarket, New South Wales, Australia PubMed articlesGoogle scholar articles
  • Nathaniel D Osgood Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada PubMed articlesGoogle scholar articles
  • Diabetes in Pregnancy Modelling Consortium
    Google scholar articles
  1. Correspondence to Dr Louise Freebairn; louise.freebairn{at}act.gov.au
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Citation

Freebairn L, Atkinson J, Qin Y Diabetes in Pregnancy Modelling Consortium, et al
‘Turning the tide’ on hyperglycemia in pregnancy: insights from multiscale dynamic simulation modeling
BMJ Open Diabetes Research and Care 2020;8:e000975. doi: 10.1136/bmjdrc-2019-000975

Publication history

  • Received October 16, 2019
  • Revised February 15, 2020
  • Accepted April 6, 2020
  • First published May 31, 2020.
Online issue publication 
May 31, 2020

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Copyright information

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.