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Agent-based modeling of noncommunicable diseases: A systematic review

Author

Listed:
  • Nianogo, R.A.
  • Arah, O.A.

Abstract

We reviewed the use of agent-basedmodeling (ABM), a systems science method, in understanding noncommunicable diseases (NCDs) and their public health risk factors.

Suggested Citation

  • Nianogo, R.A. & Arah, O.A., 2015. "Agent-based modeling of noncommunicable diseases: A systematic review," American Journal of Public Health, American Public Health Association, vol. 105(3), pages 20-31.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2014.302426_6
    DOI: 10.2105/AJPH.2014.302426
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    File URL: http://hdl.handle.net/10.2105/AJPH.2014.302426
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    Cited by:

    1. Mark Tuson & Paul Harper & Daniel Gartner & Doris Behrens, 2023. "Understanding the Impact of Social Networks on the Spread of Obesity," IJERPH, MDPI, vol. 20(15), pages 1-22, July.
    2. Anshuka Anshuka & Floris F. Ogtrop & David Sanderson & Simone Z. Leao, 2022. "A systematic review of agent-based model for flood risk management and assessment using the ODD protocol," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 2739-2771, July.
    3. Beate Jahn & Sarah Friedrich & Joachim Behnke & Joachim Engel & Ursula Garczarek & Ralf Münnich & Markus Pauly & Adalbert Wilhelm & Olaf Wolkenhauer & Markus Zwick & Uwe Siebert & Tim Friede, 2022. "On the role of data, statistics and decisions in a pandemic," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(3), pages 349-382, September.
    4. Linna Luo & Bowen Pang & Jian Chen & Yan Li & Xiaolei Xie, 2019. "Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach," IJERPH, MDPI, vol. 16(10), pages 1-12, May.
    5. Jo-An Atkinson & Dylan Knowles & John Wiggers & Michael Livingston & Robin Room & Ante Prodan & Geoff McDonnell & Eloise O’Donnell & Sandra Jones & Paul S. Haber & David Muscatello & Nadine Ezard & Ng, 2018. "Harnessing advances in computer simulation to inform policy and planning to reduce alcohol-related harms," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(4), pages 537-546, May.
    6. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    7. Alys McAlpine & Ligia Kiss & Cathy Zimmerman & Zaid Chalabi, 2021. "Agent-based modeling for migration and modern slavery research: a systematic review," Journal of Computational Social Science, Springer, vol. 4(1), pages 243-332, May.

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