Modelling primary blast lung injury: current capability and future direction

Primary blast lung injury frequently complicates military conflict and terrorist attacks on civilian populations. The fact that it occurs in areas of conflict or unpredictable mass casualty events makes clinical study in human casualties implausible. Research in this field is therefore reliant on th...

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Main Authors: Scott, Timothy, Hulse, E., Haque, Mainul, Kirkman, E., Hardman, J.G., Mahoney, P.
Format: Article
Published: BMJ Publishing Group 2016
Online Access:https://eprints.nottingham.ac.uk/39063/
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author Scott, Timothy
Hulse, E.
Haque, Mainul
Kirkman, E.
Hardman, J.G.
Mahoney, P.
author_facet Scott, Timothy
Hulse, E.
Haque, Mainul
Kirkman, E.
Hardman, J.G.
Mahoney, P.
author_sort Scott, Timothy
building Nottingham Research Data Repository
collection Online Access
description Primary blast lung injury frequently complicates military conflict and terrorist attacks on civilian populations. The fact that it occurs in areas of conflict or unpredictable mass casualty events makes clinical study in human casualties implausible. Research in this field is therefore reliant on the use of some form of biological or non-biological surrogate model. This article briefly reviews the modelling work undertaken in this field until now and describes the rationale behind the generation of an in silico physiological model.
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institution University of Nottingham Malaysia Campus
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publishDate 2016
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spelling nottingham-390632020-05-04T18:20:16Z https://eprints.nottingham.ac.uk/39063/ Modelling primary blast lung injury: current capability and future direction Scott, Timothy Hulse, E. Haque, Mainul Kirkman, E. Hardman, J.G. Mahoney, P. Primary blast lung injury frequently complicates military conflict and terrorist attacks on civilian populations. The fact that it occurs in areas of conflict or unpredictable mass casualty events makes clinical study in human casualties implausible. Research in this field is therefore reliant on the use of some form of biological or non-biological surrogate model. This article briefly reviews the modelling work undertaken in this field until now and describes the rationale behind the generation of an in silico physiological model. BMJ Publishing Group 2016-11-23 Article PeerReviewed Scott, Timothy, Hulse, E., Haque, Mainul, Kirkman, E., Hardman, J.G. and Mahoney, P. (2016) Modelling primary blast lung injury: current capability and future direction. Journal of the Royal Army Medical Corps . ISSN 2052-0468 http://jramc.bmj.com/content/early/2016/11/23/jramc-2016-000678 doi:10.1136/jramc-2016-000678 doi:10.1136/jramc-2016-000678
spellingShingle Scott, Timothy
Hulse, E.
Haque, Mainul
Kirkman, E.
Hardman, J.G.
Mahoney, P.
Modelling primary blast lung injury: current capability and future direction
title Modelling primary blast lung injury: current capability and future direction
title_full Modelling primary blast lung injury: current capability and future direction
title_fullStr Modelling primary blast lung injury: current capability and future direction
title_full_unstemmed Modelling primary blast lung injury: current capability and future direction
title_short Modelling primary blast lung injury: current capability and future direction
title_sort modelling primary blast lung injury: current capability and future direction
url https://eprints.nottingham.ac.uk/39063/
https://eprints.nottingham.ac.uk/39063/
https://eprints.nottingham.ac.uk/39063/