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Quantifying resilience of humans and other animals
All life requires the capacity to recover from challenges that are as inevitable as they are unpredictable. Understanding this resilience is essential for managing the health of humans and their livestock. It has long been difficult to quantify resilience directly, forcing practitioners to rely on i...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255191/ https://www.ncbi.nlm.nih.gov/pubmed/30373844 http://dx.doi.org/10.1073/pnas.1810630115 |
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author | Scheffer, Marten Bolhuis, J. Elizabeth Borsboom, Denny Buchman, Timothy G. Gijzel, Sanne M. W. Goulson, Dave Kammenga, Jan E. Kemp, Bas van de Leemput, Ingrid A. Levin, Simon Martin, Carmel Mary Melis, René J. F. van Nes, Egbert H. Romero, L. Michael Olde Rikkert, Marcel G. M. |
author_facet | Scheffer, Marten Bolhuis, J. Elizabeth Borsboom, Denny Buchman, Timothy G. Gijzel, Sanne M. W. Goulson, Dave Kammenga, Jan E. Kemp, Bas van de Leemput, Ingrid A. Levin, Simon Martin, Carmel Mary Melis, René J. F. van Nes, Egbert H. Romero, L. Michael Olde Rikkert, Marcel G. M. |
author_sort | Scheffer, Marten |
collection | PubMed |
description | All life requires the capacity to recover from challenges that are as inevitable as they are unpredictable. Understanding this resilience is essential for managing the health of humans and their livestock. It has long been difficult to quantify resilience directly, forcing practitioners to rely on indirect static indicators of health. However, measurements from wearable electronics and other sources now allow us to analyze the dynamics of physiology and behavior with unsurpassed resolution. The resulting flood of data coincides with the emergence of novel analytical tools for estimating resilience from the pattern of microrecoveries observed in natural time series. Such dynamic indicators of resilience may be used to monitor the risk of systemic failure across systems ranging from organs to entire organisms. These tools invite a fundamental rethinking of our approach to the adaptive management of health and resilience. |
format | Online Article Text |
id | pubmed-6255191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-62551912018-11-30 Quantifying resilience of humans and other animals Scheffer, Marten Bolhuis, J. Elizabeth Borsboom, Denny Buchman, Timothy G. Gijzel, Sanne M. W. Goulson, Dave Kammenga, Jan E. Kemp, Bas van de Leemput, Ingrid A. Levin, Simon Martin, Carmel Mary Melis, René J. F. van Nes, Egbert H. Romero, L. Michael Olde Rikkert, Marcel G. M. Proc Natl Acad Sci U S A Perspective All life requires the capacity to recover from challenges that are as inevitable as they are unpredictable. Understanding this resilience is essential for managing the health of humans and their livestock. It has long been difficult to quantify resilience directly, forcing practitioners to rely on indirect static indicators of health. However, measurements from wearable electronics and other sources now allow us to analyze the dynamics of physiology and behavior with unsurpassed resolution. The resulting flood of data coincides with the emergence of novel analytical tools for estimating resilience from the pattern of microrecoveries observed in natural time series. Such dynamic indicators of resilience may be used to monitor the risk of systemic failure across systems ranging from organs to entire organisms. These tools invite a fundamental rethinking of our approach to the adaptive management of health and resilience. National Academy of Sciences 2018-11-20 2018-10-29 /pmc/articles/PMC6255191/ /pubmed/30373844 http://dx.doi.org/10.1073/pnas.1810630115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Perspective Scheffer, Marten Bolhuis, J. Elizabeth Borsboom, Denny Buchman, Timothy G. Gijzel, Sanne M. W. Goulson, Dave Kammenga, Jan E. Kemp, Bas van de Leemput, Ingrid A. Levin, Simon Martin, Carmel Mary Melis, René J. F. van Nes, Egbert H. Romero, L. Michael Olde Rikkert, Marcel G. M. Quantifying resilience of humans and other animals |
title | Quantifying resilience of humans and other animals |
title_full | Quantifying resilience of humans and other animals |
title_fullStr | Quantifying resilience of humans and other animals |
title_full_unstemmed | Quantifying resilience of humans and other animals |
title_short | Quantifying resilience of humans and other animals |
title_sort | quantifying resilience of humans and other animals |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255191/ https://www.ncbi.nlm.nih.gov/pubmed/30373844 http://dx.doi.org/10.1073/pnas.1810630115 |
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