131 citations · 142 across the 6 of their papers we have counts for
6 papers
Infectious disease surveillance needs for the United States: lessons from COVID-19
Marc Lipsitch, Mary T. Bassett, John S. Brownstein +27
The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform…
Federated Epidemic Surveillance
Ruiqi Lyu, Roni Rosenfeld, Bryan Wilder
Epidemic surveillance is a challenging task, especially when crucial data is fragmented across institutions and data custodians are unable or unwilling to share it. This study aims…
Computationally Assisted Quality Control for Public Health Data Streams
Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld +1
Irregularities in public health data streams (like COVID-19 Cases) hamper data-driven decision-making for public health stakeholders. A real-time, computer-generated list of the mo…
Recalibrating probabilistic forecasts of epidemics
Aaron Rumack, Ryan J. Tibshirani, Roni Rosenfeld
Distributional forecasts are important for a wide variety of applications, including forecasting epidemics. Often, forecasts are miscalibrated, or unreliable in assigning uncertain…
Flexible Modeling of Epidemics with an Empirical Bayes Framework
Logan C. Brooks, David C. Farrow, Sangwon Hyun +2
Seasonal influenza epidemics cause consistent, considerable, widespread loss annually in terms of economic burden, morbidity, and mortality. With access to accurate and reliable fo…
Structured, sparse regression with application to HIV drug resistance
Daniel Percival, Kathryn Roeder, Roni Rosenfeld +1
We introduce a new version of forward stepwise regression. Our modification finds solutions to regression problems where the selected predictors appear in a structured pattern, wit…