202 citations · 544 across the 8 of their papers we have counts for
9 papers
COFFEE: COVID-19 Forecasts using Fast Evaluations and Estimation
Lauren Castro, Geoffrey Fairchild, Isaac Michaud +1
This document details the methodology of the Los Alamos National Laboratory COVID-19 forecasting model, COFFEE (COVID-19 Forecasts using Fast Evaluations and Estimation).
"Thought I'd Share First" and Other Conspiracy Theory Tweets from the COVID-19 Infodemic: Exploratory Study
Dax Gerts, Courtney D. Shelley, Nidhi Parikh +5
Background: The COVID-19 outbreak has left many people isolated within their homes; these people are turning to social media for news and social connection, which leaves them vulne…
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…
Epidemiological data challenges: planning for a more robust future through data standards
Geoffrey Fairchild, Byron Tasseff, Hari Khalsa +5
Accessible epidemiological data are of great value for emergency preparedness and response, understanding disease progression through a population, and building statistical and mec…
A globally-applicable disease ontology for biosurveillance; Anthology of Biosurveillance Diseases (ABD)
A. R. Daughton, R. Priedhorsky, G. Fairchild +7
Biosurveillance, a relatively young field, has recently increased in importance because of its relevance to national security and global health. Databases and tools describing part…
Eliciting Disease Data from Wikipedia Articles
Geoffrey Fairchild, Lalindra De Silva, Sara Y. Del Valle +1
Traditional disease surveillance systems suffer from several disadvantages, including reporting lags and antiquated technology, that have caused a movement towards internet-based d…
Forecasting the 2013--2014 Influenza Season using Wikipedia
Kyle S. Hickmann, Geoffrey Fairchild, Reid Priedhorsky +4
Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy…
Global disease monitoring and forecasting with Wikipedia
Nicholas Generous, Geoffrey Fairchild, Alina Deshpande +2
Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monito…