Accurately Estimating Unreported Infections using Information Theory

Conference proceeding

Open access

Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S.M. Ahsan-Ul Haque, Jilles Vreeken, Anil Vullikanti and B. Aditya Prakash

2025 SIAM International Conference on Data Mining, SDM 2025, pp.457-466

2025

DOI: 10.1137/1.9781611978520.50

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Information Theory

Forecasting

Modeling

Ordinary di!erentialbased Equations

Title: Subtitle: Accurately Estimating Unreported Infections using Information Theory
Creators: Jiaming Cui - Virginia Tech
Bijaya Adhikari - Department of Computer Science, The University of Iowa, United States
Arash Haddadan - Amazon, United States
A. S.M. Ahsan-Ul Haque - University of Virginia
Jilles Vreeken - Helmholtz Center for Information Security
Anil Vullikanti - University of Virginia
B. Aditya Prakash - Georgia Institute of Technology
Resource Type: Conference proceeding
Publication Details: 2025 SIAM International Conference on Data Mining, SDM 2025, pp.457-466
DOI: 10.1137/1.9781611978520.50
Grant note: RAPID IIS-2027862 / National Sleep Foundation (100003187) Global Infectious Diseases Institute, University of Virginia (http://data.elsevier.com/vocabulary/SciValFunders/100018983) Oak Ridge National Laboratory (http://data.elsevier.com/vocabulary/SciValFunders/100006228) Georgia Institute of Technology (http://data.elsevier.com/vocabulary/SciValFunders/100006778) GTRI IIS-2027862; CCF-1918656; IIS-2331315; IIS-2028586; IIS-1955797; IIS-1931628; IIS-1955883; CCF-1918770; IIS-2027848; IIS-2403240; IIS-2106961 / NSF CCF-1918656 / National Sleep Foundation (100003187) CCF-1918770 / National Sleep Foundation (100003187) 2R01GM109718 / NIH U01CK000589 / CDC
Language: English
Date published: 2025
Academic Unit: Computer Science
Record Identifier: 9984833488402771

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