Search Results for author:
Found 8 papers, 1 papers with code
Impact of COVID-19 Policies and Misinformation on Social Unrest
The novel coronavirus disease (COVID-19) pandemic has impacted every corner of earth, disrupting governments and leading to socioeconomic instability.
Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models
A crucial aspect of managing a public health crisis is to effectively balance prevention and mitigation strategies, while taking their socio-economic impact into account.
Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates
Here we present a new approach to calibrate an agent-based model -- EpiCast -- using a large set of simulation ensembles for different major metropolitan areas of the United States.
Dynamic Bayesian Influenza Forecasting in the United States with Hierarchical Discrepancy
Timely and accurate forecasts of seasonal influenza would assist public health decision-makers in planning intervention strategies, efficiently allocating resources, and possibly saving lives.
Applications
Eliciting Disease Data from Wikipedia Articles
Traditional disease surveillance systems suffer from several disadvantages, including reporting lags and antiquated technology, that have caused a movement towards internet-based disease surveillance systems.
Quantifying Uncertainty in Stochastic Models with Parametric Variability
We illustrate our approach by quantifying the uncertainty in a stochastic ordinary differential equation epidemic model.
Global disease monitoring and forecasting with Wikipedia
Infectious disease is a leading threat to public health, economic stability, and other key social structures.
Inferring the Origin Locations of Tweets with Quantitative Confidence
Social Internet content plays an increasingly critical role in many domains, including public health, disaster management, and politics.
