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09/15/2020
High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S
We present an interpretable high-resolution spatio-temporal model to est...
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07/01/2020
An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time
Non-pharmaceutical interventions (NPIs) have been crucial in curbing COV...
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04/08/2020
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
We present a timely and novel methodology that combines disease estimate...
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11/06/2019
Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions
We introduce the use of a Gated Recurrent Unit (GRU) for influenza predi...
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12/13/2015
Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
Accurate real-time monitoring systems of influenza outbreaks help public...
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05/05/2015
