Sparse Pathway-Induced Dynamic Network Biomarker Discovery for Early Warning Signal Detection in Complex Diseases

2018 ◽  
Vol 15 (3) ◽  
pp. 1028-1034 ◽  
Author(s):  
Abolfazl Doostparast Torshizi ◽  
Linda Petzold
Keyword(s):  
Signal Detection ◽  
Early Warning ◽  
Biomarker Discovery ◽  
Dynamic Network ◽  
Complex Diseases ◽  
Warning Signal ◽  
Network Biomarker ◽  
Early Warning Signal

scholarly journals Impression Offsetting as an Early Warning Signal of Low CEO Confidence in Acquisitions

2019 ◽  
Vol 62 (5) ◽  
pp. 1307-1332 ◽  
Author(s):  
Daniel L. Gamache ◽  
Gerry McNamara ◽  
Scott D. Graffin ◽  
Jason Kiley ◽  
Jerayr Haleblian ◽  
...  
Keyword(s):  
Early Warning ◽  
Warning Signal ◽  
Early Warning Signal

Disturbance cues in freshwater prey fishes: do juvenile convict cichlids and rainbow trout respond to ammonium as an ‘early warning’ signal?

Chemoecology ◽  
2008 ◽  
Vol 18 (4) ◽  
pp. 255-261 ◽  
Author(s):  
Meaghan A. Vavrek ◽  
Chris K. Elvidge ◽  
Robert DeCaire ◽  
Brenna Belland ◽  
Christopher D. Jackson ◽  
...  
Keyword(s):  
Rainbow Trout ◽  
Early Warning ◽  
Warning Signal ◽  
Early Warning Signal ◽  
Convict Cichlids ◽  
Disturbance Cues

scholarly journals Slowing down as an early warning signal for abrupt climate change

2008 ◽  
Vol 105 (38) ◽  
pp. 14308-14312 ◽  
Author(s):  
V. Dakos ◽  
M. Scheffer ◽  
E. H. van Nes ◽  
V. Brovkin ◽  
V. Petoukhov ◽  
...  
Keyword(s):  
Climate Change ◽  
Early Warning ◽  
Warning Signal ◽  
Abrupt Climate Change ◽  
Slowing Down ◽  
Early Warning Signal

scholarly journals Flickering as an early warning signal

2013 ◽  
Vol 6 (3) ◽  
pp. 309-317 ◽  
Author(s):  
Vasilis Dakos ◽  
Egbert H. van Nes ◽  
Marten Scheffer
Keyword(s):  
Early Warning ◽  
Warning Signal ◽  
Early Warning Signal

scholarly journals A Simple Early Warning Signal for COVID-19

2020 ◽  
Author(s):  
Lidia Ceriani ◽  
Carlos Hernandez-Suarez ◽  
Paolo Verme
Keyword(s):  
Older People ◽  
Early Warning ◽  
Warning Signal ◽  
Fixed Effect Model ◽  
Mortality Rates ◽  
Fixed Effect ◽  
Daily Mortality ◽  
Reliable Predictor ◽  
Early Warning Signal ◽  
Effect Model

AbstractThe paper provides some initial evidence that daily mortality rates (for any cause) by municipality or province can be used as a statistically reliable predictor of looming COVID-19 crises. Using recently published deaths figures for 1,689 Italian municipalities, we estimate the growth in daily mortality rates between the period 2015–2019 and 2020 by province. All provinces that experienced a major COVID-19 shock in mid-March 2020 had increases in mortality rates of 100% or above already in early February 2020. This increase was particularly strong for males and older people, two recognizable features of COVID-19. Using a panel fixed effect model, we show that the association between these early increases in mortality for any cause and the March 2020 COVID-19 shock is strong and significant. We conclude that the growth in mortality rates can be used as a statistically reliable predictor of COVID-19 crises.

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