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Quantifying Systemic resilience of humans and other animals

From Complex Time
Category
General Reference
author-supplied keywords
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authors
Marten Scheffer
J. Elizabeth Bolhuis
Denny Borsboom
Timothy G. Buchman
Sanne M. W. Gijzel
Dave Goulson
Jan E. Kammenga
Bas Kemp
Ingrid A van de Leemput
Simon A. Levin
Carmel Mary Martin
René J F Melis
Egbert H. van Nes
L. Michael Romero
Marcel G M Olde Rikkert
title
Quantifying Systemic resilience of humans and other animals
year
2018


Abstract

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.

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