15 citations · 31 across the 7 of their papers we have counts for
7 papers
Impact of COVID-19 Policies and Misinformation on Social Unrest
Martha Barnard, Radhika Iyer, Sara Y. Del Valle +1
The novel coronavirus disease (COVID-19) pandemic has impacted every corner of earth, disrupting governments and leading to socioeconomic instability. This crisis has prompted ques…
Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models
Jayaraman J. Thiagarajan, Peer-Timo Bremer, Rushil Anirudh +3
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. In partic…
Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates
Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer +3
Calibrating complex epidemiological models to observed data is a crucial step to provide both insights into the current disease dynamics, i.e.\ by estimating a reproductive number,…
Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil
Katherine Kempfert, Kaitlyn Martinez, Amir Siraj +8
Predicting an infectious disease can help reduce its impact by advising public health interventions and personal preventive measures. Novel data streams, such as Internet and socia…
Nowcasting Influenza Incidence with CDC Web Traffic Data: A Demonstration Using a Novel Data Set
Wendy K. Caldwell, Geoffrey Fairchild, Sara Y. Del Valle
Influenza epidemics result in a public health and economic burden around the globe. Traditional surveillance techniques, which rely on doctor visits, provide data with a delay of 1…
Dynamic Bayesian Influenza Forecasting in the United States with Hierarchical Discrepancy
Dave Osthus, James Gattiker, Reid Priedhorsky +1
Timely and accurate forecasts of seasonal influenza would assist public health decision-makers in planning intervention strategies, efficiently allocating resources, and possibly s…