Quantifying resilience of humans and other animals

Open Access
Authors
  • S.M.W. Gijzel
  • D. Goulson
  • J.E. Kammenga
  • B. Kemp
  • I.A. van de Leemput
  • S. Levin
  • C.M. Martin
  • R.J.F. Melis
  • E.H. van Nes
  • L.M. Romero
  • M.G.M. Olde Rikkert
Publication date 20-11-2018
Journal Proceedings of the National Academy of Sciences of the United States of America
Volume | Issue number 115 | 47
Pages (from-to) 11883-11890
Number of pages 8
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
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.

Document type Review article
Note With supplementary file
Language English
Published at https://doi.org/10.1073/pnas.1810630115
Other links https://www.scopus.com/pages/publications/85056766374
Downloads
11883.full (Final published version)
Supplementary materials
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