Localized Epidemic Detection in Networks with Overwhelming Noise

We consider the problem of detecting an epidemic in a population where individual diagnoses are extremely noisy. We show that exclusively local, approximate knowledge of the contact network suffices to accurately detect the epidemic. The motivation for this problem is the plethora of examples (influ...

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Veröffentlicht in:	Performance evaluation review 2015-06, Vol.43 (1), p.441-442
Hauptverfasser:	Meirom, Eli A., Milling, Chris, Caramanis, Constantine, Mannor, Shie, Shakkottai, Sanjay, Orda, Ariel
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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