Threshold-based Alerting
Threshold-Based Alerting is an outbreak detection strategy in which automated alerts are generated when monitored epidemiological indicators exceed predefined quantitative thresholds, distinguishing it from model-based or adaptive methods that infer anomalies from learned patterns or probabilistic forecasts.
214
Publications
9.8K
Citations
854
Authors
400
Institutions
Publications per year
2017–2026
83
214
iFall: An android application for fall monitoring and response
Frank Sposaro, Gary Tyson · 2009 · 318 citations
Alarm Algorithms in Critical Care Monitoring
Michael Imhoff, Silvia Kuhls · Anesthesia & Analgesia · 2006 · 264 citations
C. E. Bachmann, Stefan Wiemer, J. Woessner et al. · Geophysical Journal International · 2011 · 197 citations · Full text
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Massachusetts Institute of Technology
Cambridge, United States
7 h-index
13 publications
524 citations
United States Geological Survey
Reston, United States
5 h-index
22 publications
1.6K citations
California Institute of Technology
Pasadena, United States
4 h-index
9 publications
587 citations
Stanford University
Stanford, United States
4 h-index
7 publications
377 citations

Centers for Disease Control and Prevention
Atlanta, United States
4 h-index
4 publications
151 citations
Harvard University
Cambridge, United States
4 h-index
9 publications
570 citations
University of Florence
Florence, Italy
4 h-index
17 publications
1K citations

Sorbonne Université
Paris, France
3 h-index
6 publications
107 citations
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5 publications · 156 citations
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4 publications · 196 citations
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3 publications · 139 citations
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3 publications · 196 citations
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Repository · 3 publications · 37 citations
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