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Get Free AccessAll 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.
Marten Scheffer, J.E. Bolhuis, Denny Borsboom, Timothy G. Buchman, Sanne M.W. Gijzel, Dave Goulson, Jan E. Kammenga, B. Kemp, Ingrid A. van de Leemput, Simon A. Levin, Carmel M. Martin, René J. F. Melis, Egbert H. van Nes, L. Michael Romero, Marcel G. M. Olde Rikkert (2018). Quantifying resilience of humans and other animals. Proceedings of the National Academy of Sciences, 115(47), pp. 11883-11890, DOI: 10.1073/pnas.1810630115.
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Type
Editorial Material
Year
2018
Authors
15
Datasets
0
Total Files
0
Language
English
Journal
Proceedings of the National Academy of Sciences
DOI
10.1073/pnas.1810630115
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