activity
20132024
most citedGlobal disease monitoring and forecasting with Wikipedia

202 citations · 600 across the 11 of their papers we have counts for

collaborators

11 papers

cs.DC2024

Zero-consistency root emulation for unprivileged container image build

Reid Priedhorsky, Michael Jennings, Megan Phinney

Do Linux distribution package managers need the privileged operations they request to actually happen? Apparently not, at least for building container images for HPC applications.…

cs.SE2023

Charliecloud's layer-free, Git-based container build cache

Reid Priedhorsky, Jordan Ogas, Claude H. +5

A popular approach to deploying scientific applications in high performance computing (HPC) is Linux containers, which package an application and all its dependencies as a single u…

cs.DC2021★ 13 cited

Minimizing privilege for building HPC containers

Reid Priedhorsky, R. Shane Canon, Timothy Randles +1

HPC centers face increasing demand for software flexibility, and there is growing consensus that Linux containers are a promising solution. However, existing container build soluti…

q-bio.PE2019★ 10 cited

Estimating influenza incidence using search query deceptiveness and generalized ridge regression

Reid Priedhorsky, Ashlynn R. Daughton, Martha Barnard +2

Seasonal influenza is a sometimes surprisingly impactful disease, causing thousands of deaths per year along with much additional morbidity. Timely knowledge of the outbreak state…

cs.CY2018★ 67 cited

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…

cs.IT2017★ 2 cited

Deceptiveness of internet data for disease surveillance

Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton +2

Quantifying how many people are or will be sick, and where, is a critical ingredient in reducing the burden of disease because it helps the public health system plan and implement…

stat.AP2017★ 15 cited

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…

q-bio.QM2016★ 1 cited

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…

q-bio.PE2014★ 177 cited

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…

cs.SI2014★ 202 cited

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…

cs.SI2013★ 113 cited

Inferring the Origin Locations of Tweets with Quantitative Confidence

Reid Priedhorsky, Aron Culotta, Sara Y. Del Valle

Social Internet content plays an increasingly critical role in many domains, including public health, disaster management, and politics. However, its utility is limited by missing…