Use case for predictive physiological models: tactical insights about frozen Russian soldiers in Ukraine

ABSTRACTBiomathematical models quantitatively describe human physiological responses to environmental and operational stressors and have been used for planning and real-time prevention of cold injury. These same models can be applied from a military tactical perspective to gain valuable insights int...

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Bibliographic Details
Published in:International Journal of Circumpolar Health
Main Authors: Adam W. Potter, David P. Looney, Karl E. Friedl
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis Group 2023
Subjects:
Online Access:https://doi.org/10.1080/22423982.2023.2194504
https://doaj.org/article/59a2b3a10daa4771ac97949922da015b
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spelling ftdoajarticles:oai:doaj.org/article:59a2b3a10daa4771ac97949922da015b 2024-01-21T10:04:00+01:00 Use case for predictive physiological models: tactical insights about frozen Russian soldiers in Ukraine Adam W. Potter David P. Looney Karl E. Friedl 2023-12-01T00:00:00Z https://doi.org/10.1080/22423982.2023.2194504 https://doaj.org/article/59a2b3a10daa4771ac97949922da015b EN eng Taylor & Francis Group https://www.tandfonline.com/doi/10.1080/22423982.2023.2194504 https://doaj.org/toc/2242-3982 doi:10.1080/22423982.2023.2194504 2242-3982 https://doaj.org/article/59a2b3a10daa4771ac97949922da015b International Journal of Circumpolar Health, Vol 82, Iss 1 (2023) biophysics modelling thermophysiology hypothermia frostbite military operations Arctic medicine. Tropical medicine RC955-962 article 2023 ftdoajarticles https://doi.org/10.1080/22423982.2023.2194504 2023-12-24T01:42:47Z ABSTRACTBiomathematical models quantitatively describe human physiological responses to environmental and operational stressors and have been used for planning and real-time prevention of cold injury. These same models can be applied from a military tactical perspective to gain valuable insights into the health status of opponent soldiers. This paper describes a use case for predicting physiological status of Russian soldiers invading Ukraine using open-source information. In March 2022, media outlets reported Russian soldiers in a stalled convoy invading Ukraine were at serious risk of hypothermia and predicted these soldiers would be “freezing to death” within days because of declining temperatures (down to −20°C). Using existing Army models, clothing data and open-source intelligence, modelling and analyses were conducted within hours to quantitatively assess the conditions and provide science-based predictions. These predictions projected a significant increase in risks of frostbite for exposed skin and toes and feet, with a very low (negligible) risk of hypothermia. Several days later, media outlets confirmed these predictions, reporting a steep rise in evacuations for foot frostbite injuries in these Russian forces. This demonstrated what can be done today with the existing mathematical physiology and how models traditionally focused on health risk can be used for tactical intelligence. Article in Journal/Newspaper Arctic Circumpolar Health International Journal of Circumpolar Health Directory of Open Access Journals: DOAJ Articles Arctic International Journal of Circumpolar Health 82 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic biophysics
modelling
thermophysiology
hypothermia
frostbite
military operations
Arctic medicine. Tropical medicine
RC955-962
spellingShingle biophysics
modelling
thermophysiology
hypothermia
frostbite
military operations
Arctic medicine. Tropical medicine
RC955-962
Adam W. Potter
David P. Looney
Karl E. Friedl
Use case for predictive physiological models: tactical insights about frozen Russian soldiers in Ukraine
topic_facet biophysics
modelling
thermophysiology
hypothermia
frostbite
military operations
Arctic medicine. Tropical medicine
RC955-962
description ABSTRACTBiomathematical models quantitatively describe human physiological responses to environmental and operational stressors and have been used for planning and real-time prevention of cold injury. These same models can be applied from a military tactical perspective to gain valuable insights into the health status of opponent soldiers. This paper describes a use case for predicting physiological status of Russian soldiers invading Ukraine using open-source information. In March 2022, media outlets reported Russian soldiers in a stalled convoy invading Ukraine were at serious risk of hypothermia and predicted these soldiers would be “freezing to death” within days because of declining temperatures (down to −20°C). Using existing Army models, clothing data and open-source intelligence, modelling and analyses were conducted within hours to quantitatively assess the conditions and provide science-based predictions. These predictions projected a significant increase in risks of frostbite for exposed skin and toes and feet, with a very low (negligible) risk of hypothermia. Several days later, media outlets confirmed these predictions, reporting a steep rise in evacuations for foot frostbite injuries in these Russian forces. This demonstrated what can be done today with the existing mathematical physiology and how models traditionally focused on health risk can be used for tactical intelligence.
format Article in Journal/Newspaper
author Adam W. Potter
David P. Looney
Karl E. Friedl
author_facet Adam W. Potter
David P. Looney
Karl E. Friedl
author_sort Adam W. Potter
title Use case for predictive physiological models: tactical insights about frozen Russian soldiers in Ukraine
title_short Use case for predictive physiological models: tactical insights about frozen Russian soldiers in Ukraine
title_full Use case for predictive physiological models: tactical insights about frozen Russian soldiers in Ukraine
title_fullStr Use case for predictive physiological models: tactical insights about frozen Russian soldiers in Ukraine
title_full_unstemmed Use case for predictive physiological models: tactical insights about frozen Russian soldiers in Ukraine
title_sort use case for predictive physiological models: tactical insights about frozen russian soldiers in ukraine
publisher Taylor & Francis Group
publishDate 2023
url https://doi.org/10.1080/22423982.2023.2194504
https://doaj.org/article/59a2b3a10daa4771ac97949922da015b
geographic Arctic
geographic_facet Arctic
genre Arctic
Circumpolar Health
International Journal of Circumpolar Health
genre_facet Arctic
Circumpolar Health
International Journal of Circumpolar Health
op_source International Journal of Circumpolar Health, Vol 82, Iss 1 (2023)
op_relation https://www.tandfonline.com/doi/10.1080/22423982.2023.2194504
https://doaj.org/toc/2242-3982
doi:10.1080/22423982.2023.2194504
2242-3982
https://doaj.org/article/59a2b3a10daa4771ac97949922da015b
op_doi https://doi.org/10.1080/22423982.2023.2194504
container_title International Journal of Circumpolar Health
container_volume 82
container_issue 1
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