Angeli D, Ferrell JE and Sontag ED 2004 Detection of multistability, bifurcations, and hysteresis in a large class of biological positive-feedback systems. Proc. Natl. Acad. Sci. USA 101 1822–1827
Arnold VI, Afrajmovic V, Il’yasenko U and Shil’nikov L 1999 Bifurcation theory and catastrophe theory (Springer)
Ashley NT, Weil ZM and Nelson RJ 2012 Inflammation: mechanisms, costs, and natural variation. Annu. Rev. Ecol. Evol. Syst. 43 385–406
Biggs R, Carpenter SR and Brock WA 2009 Turning back from the brink: detecting an impending regime shift in time to avert it. Proc. Natl. Acad. Sci. USA 106 826–831
Boettiger C and Hastings A 2012a Early warning signals and the prosecutor’s fallacy. Proc. R. Soc. B: Biol. Sci. 279 4734–4739
Boettiger C and Hastings A 2012b Quantifying limits to detection of early warning for critical transitions. J. R. Soc. Interface 9 2527–2539
Brett TS, Drake JM and Rohani P 2017 Anticipating the emergence of infectious diseases. J. R. Soc. Interface 14 20170115
Brock WA and Carpenter SR 2010 Interacting regime shifts in ecosystems: implication for early warnings. Ecol. Monogr. 80 353–367
Camastra S, Gastaldelli A, Mari A, et al. 2011 Early and longer term effects of gastric bypass surgery on tissue-specific insulin sensitivity and beta cell function in morbidly obese patients with and without type 2 diabetes. Diabetologia 54 2093–2102
Carpenter S, Brock W, Cole J, Kitchell J and Pace M 2008 Leading indicators of trophic cascades. Ecol. Lett. 11 128–138
Carpenter SR and Brock WA 2006 Rising variance: a leading indicator of ecological transition. Ecol. Lett. 9 311–318
Chen L, Liu R, Liu ZP, Li M and Aihara K 2012 Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers. Sci. Rep. 2 1–8
Chen P, Li Y, Liu X, Liu R and Chen L 2017 Detecting the tipping points in a three-state model of complex diseases by temporal differential networks. J. Transl. Med. 15 1–15
Clements CF, Drake JM, Griffiths JI and Ozgul A 2015 Factors influencing the detectability of early warning signals of population collapse. Am. Nat. 186 50–58
Dai L, Vorselen D, Korolev KS and Gore J 2012 Generic indicators for loss of resilience before a tipping point leading to population collapse. Science 336 1175–1177
Dai L, Korolev KS and Gore J 2013 Slower recovery in space before collapse of connected populations. Nature 496 355–358
Dakos V and Bascompte J 2014 Critical slowing down as early warning for the onset of collapse in mutualistic communities. Proc. Natl. Acad. Sci. USA 111 17546–17551
Dakos V, Scheffer M, van Nes EH, et al. 2008 Slowing down as an early warning signal for abrupt climate change. Proc. Natl. Acad. Sci. USA 105 14308–14312
Dakos V, van Nes EH, Donangelo R, Fort H and Scheffer M 2010 Spatial correlation as leading indicator of catastrophic shifts. Theor. Ecol. 3 163–174
Dakos V, Kéfi S, Rietkerk M, Van Nes EH and Scheffer M 2011 Slowing down in spatially patterned ecosystems at the brink of collapse. Am. Nat. 177 E153–E166
Dakos V, Carpenter SR, Brock WA, et al. 2012 Methods for detecting early warnings of critical transitions in time series illustrated using simulated ecological data. PLoS One 7 e41010
Dakos V, Carpenter SR, van Nes EH and Scheffer M 2015 Resilience indicators: prospects and limitations for early warnings of regime shifts. Philos. Trans. R. Soc. B Biol. Sci. 370 20130263
Deb S, Sidheekh S, Clements CF, Krishnan NC and Dutta PS 2021 Machine learning methods trained on simple models can predict critical transitions in complex natural systems. R. Soc. Open Sci. 9 211475
Ditlevsen PD and Johnsen SJ 2010 Tipping points: Early warning and wishful thinking. Geophys. Res. Lett. 37
Drake JM and Griffen BD 2010 Early warning signals of extinction in deteriorating environments. Nature 467 456–459
Drake JM, Brett TS, Chen S, et al. 2019 The statistics of epidemic transitions. PLoS Comput. Biol. 15 e1006917
Dutta PS, Sharma Y and Abbott KC 2018 Robustness of early warning signals for catastrophic and non-catastrophic transitions. Oikos 127 1251–1263
Gijzel SM, van de Leemput IA, Scheffer M, et al. 2017 Dynamical resilience indicators in time series of self-rated health correspond to frailty levels in older adults. J. Gerontol. Ser. A 72 991–996
Glass L 2015 Dynamical disease: Challenges for nonlinear dynamics and medicine. Chaos Interdiscip. J. Nonlin. Sci. 25 097603
Guttal V and Jayaprakash C 2008 Changing skewness: an early warning signal of regime shifts in ecosystems. Ecol. Lett. 11 450–460
Guttal V and Jayaprakash C 2009 Spatial variance and spatial skewness: leading indicators of regime shifts in spatial ecological systems. Theor. Ecol. 2 3–12
Guttal V, Raghavendra S, Goel N and Hoarau Q 2016 Lack of critical slowing down suggests that financial meltdowns are not critical transitions, yet rising variability could signal systemic risk. PLoS One 11 e0144198
Hari K, Sabuwala B, Subramani BV, et al. 2020 Identifying inhibitors of epithelial–mesenchymal plasticity using a network topology-based approach. NPJ Syst. Biol. Appl. 6 1–12
Holling CS 1973 Resilience and stability of ecological systems. Annu. Rev. Ecol. Syst. 4 1–23
Hou G, Chen B, Xu W, et al. 2018 Expression level of CDC2 gene in osteosarcoma and its clinical significance. Oncol. Lett. 15 7884–7888
Hsieh NH, Cheng YH and Liao CM 2014 Changing variance and skewness as leading indicators for detecting ozone exposure-associated lung function decrement. Stoch. Env. Res. Risk Assess. 28 2205–2216
Ives AR 1995 Measuring resilience in stochastic systems. Ecol. Monogr. 65 217–233
Jentsch PC, Anand M and Bauch CT 2018 Spatial correlation as an early warning signal of regime shifts in a multiplex disease-behaviour network. J. Theor. Biol. 448 17–25
Karmakar R and Bose I 2007 Positive feedback, stochasticity and genetic competence. Phys. Biol. 4 29
Kaur T, Sarkar S, Chowdhury S, et al. 2020 Anticipating the novel coronavirus disease (COVID-19) pandemic. Front. Public Health 8 521
Kefi S, Guttal V, Brock WA, et al. 2014 Early warning signals of ecological transitions: methods for spatial patterns. PLoS One 9 e92097
Keller MP, Choi Y, Wang P, et al. 2008 A gene expression network model of type 2 diabetes links cell cycle regulation in islets with diabetes susceptibility. Genome Res. 18 706–716
Kianercy A, Veltri R and Pienta KJ 2014 Critical transitions in a game theoretic model of tumour metabolism. Interface Focus 4 20140,014
Korolev KS, Xavier JB and Gore J 2014 Turning ecology and evolution against cancer. Nat. Rev. Cancer 14 371–380
Kowalski WJ, Dur O, Wang Y, et al. 2013 Critical transitions in early embryonic aortic arch patterning and hemodynamics. PLoS One 8 e60271
Kramer MA, Truccolo W, Eden UT, et al. 2012 Human seizures self-terminate across spatial scales via a critical transition. Proc. Natl. Acad. Sci. USA 109 21116–21121
Lagro J, Laurenssen NC, Schalk BW, et al. 2012 Diastolic blood pressure drop after standing as a clinical sign for increased mortality in older falls clinic patients. J. Hypertens. 30 1195–1202
Lagro J, Schoon Y, Heerts I, et al. 2014 Impaired systolic blood pressure recovery directly after standing predicts mortality in older falls clinic patients. J. Gerontol. Ser. A Biomed. Sci. Med. Sci. 69 471–478
Lenton TM 2011 Early warning of climate tipping points. Nat. Clim. Change 1 201–209
Li M, Zeng T, Liu R and Chen L 2014 Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis. Brief. Bioinform. 15 229–243
Liu R, Li M, Liu ZP, Wu J, Chen L and Aihara K 2012 Identifying critical transitions and their leading biomolecular networks in complex diseases. Sci. Rep. 2 1–9
Liu R, Aihara K and Chen L 2013a Dynamical network biomarkers for identifying critical transitions and their driving networks of biologic processes. Quant. Biol. 1 105–114
Liu X, Liu R, Zhao XM and Chen L 2013b Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers. BMC Med. Genomics 6 1–10
Liu X, Wang J and Chen L 2013c Whole-exome sequencing reveals recurrent somatic mutation networks in cancer. Cancer Lett. 340 270–276
Martin CM 2018 Resilience and health (care): A dynamic adaptive perspective. J. Eval. Clin. Pract. 224 1319–1322
Meisel C and Kuehn C 2012 Scaling effects and spatio-temporal multilevel dynamics in epileptic seizures. PLoS One 7 e30371
Mormann F, Andrzejak RG, Elger CE and Lehnertz K 2007 Seizure prediction: the long and winding road. Brain 130 314–333
Olde Rikkert MG and Melis RJ 2019 Rerouting geriatric medicine by complementing static frailty measures with dynamic resilience indicators of recovery potential. Front. Physiol. 10 723
Olde Rikkert MG, Dakos V, Buchman TG, et al. 2016 Slowing down of recovery as generic risk marker for acute severity transitions in chronic diseases. Crit. Care Med. 44 601–606
Oro D and Freixas L 2021 Flickering body temperature anticipates criticality in hibernation dynamics. R. Soc. Open Sci. 8 201571
O’Dea EB and Drake JM 2019 Disentangling reporting and disease transmission. Theor. Ecol. 12 89–98
O’Regan SM and Drake JM 2013 Theory of early warning signals of disease emergence and leading indicators of elimination. Theor. Ecol. 6 333–357
Petersen KF, Dufour S, Morino K, et al. 2012 Reversal of muscle insulin resistance by weight reduction in young, lean, insulin-resistant offspring of parents with type 2 diabetes. Proc. Natl. Acad. Sci. USA 109 8236–8240
Pimm SL 1984 The complexity and stability of ecosystems. Nature 307 321–326
Pomerening JR 2008 Uncovering mechanisms of bistability in biological systems. Curr. Opin. Biotechnol. 19 381–388
Qin S and Tang C 2018 Early-warning signals of critical transition: Effect of extrinsic noise. Phys. Rev. E 97 032,406
Samal SS, Krishnan J, Esfahani AH, et al. 2019 Metastable regimes and tipping points of biochemical networks with potential applications in precision medicine; in Automated Reasoning for Systems Biology and Medicine (Springer) pp 269–295
Sarkar S, Sinha SK, Levine H, Jolly MK and Dutta PS 2019 Anticipating critical transitions in epithelial–hybrid-mesenchymal cell-fate determination. Proc. Natl. Acad. Sci. USA 116 26343–26352
Sarkar S, Narang A, Sinha SK and Dutta PS 2021 Effects of stochasticity and social norms on complex dynamics of fisheries. Phys. Rev. E 103 022401
Scheffer M 2009 Critical transitions in nature and society (Princeton University Press)
Scheffer M and Carpenter SR 2003 Catastrophic regime shifts in ecosystems: linking theory to observation. Trends Ecol. Evol. 18 648–656
Scheffer M, Carpenter S, Foley JA, Folke C and Walker B 2001 Catastrophic shifts in ecosystems. Nature 413 591–596
Scheffer M, Bascompte J, Brock WA, et al. 2009 Early-warning signals for critical transitions. Nature 461 53–59
Scheffer M, Carpenter SR, Lenton TM, et al. 2012 Anticipating critical transitions. Science 338 344–348
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