1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2025
An AI-Based Public Health Data Monitoring System
Ananya Joshi, Nolan Gormley, Richa Gadgil +3
Public health experts need scalable approaches to monitor large volumes of health data (e.g., cases, hospitalizations, deaths) for outbreaks or data quality issues. Traditional ale…
cs.AI2024
Outlier Ranking in Large-Scale Public Health Streams
Ananya Joshi, Tina Townes, Nolan Gormley +3
Disease control experts inspect public health data streams daily for outliers worth investigating, like those corresponding to data quality issues or disease outbreaks. However, th…
cs.LG2023★ 1 cited
Correcting for heterogeneity in real-time epidemiological indicators
Aaron Rumack, Roni Rosenfeld, F. William Townes
Auxiliary data sources have become increasingly important in epidemiological surveillance, as they are often available at a finer spatial and temporal resolution, larger coverage,…