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Dave Osthus
Dave Osthus
Verified email at lanl.gov
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Year
A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States
NG Reich, LC Brooks, SJ Fox, S Kandula, CJ McGowan, E Moore, ...
Proceedings of the National Academy of Sciences 116 (8), 3146-3154, 2019
2412019
Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US
EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ...
MedRXiv, 2020.08. 19.20177493, 2020
1982020
Forecasting seasonal influenza with a state-space SIR model
D Osthus, KS Hickmann, PC Caragea, D Higdon, SY Del Valle
The annals of applied statistics 11 (1), 202, 2017
1632017
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
1582022
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the US
NG Reich, CJ McGowan, TK Yamana, A Tushar, EL Ray, D Osthus, ...
PLoS computational biology 15 (11), e1007486, 2019
1312019
Epidemic forecasting is messier than weather forecasting: The role of human behavior and internet data streams in epidemic forecast
KR Moran, G Fairchild, N Generous, K Hickmann, D Osthus, ...
The Journal of infectious diseases 214 (suppl_4), S404-S408, 2016
1252016
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Medrxiv, 2021.02. 03.21250974, 2021
902021
Validity of 24-h physical activity recall: physical activity measurement survey
GJ Welk, Y Kim, B Stanfill, DA Osthus, AM Calabro, SM Nusser, ...
Medicine and science in sports and exercise 46 (10), 2014
772014
Dynamic Bayesian influenza forecasting in the United States with hierarchical discrepancy (with discussion)
D Osthus, J Gattiker, R Priedhorsky, SY Del Valle
672019
Quantifying topological uncertainty in fractured systems using graph theory and machine learning
G Srinivasan, JD Hyman, DA Osthus, BA Moore, D O’Malley, S Karra, ...
Scientific reports 8 (1), 11665, 2018
492018
Identifying backbones in three-dimensional discrete fracture networks: A bipartite graph-based approach
JD Hyman, A Hagberg, D Osthus, S Srinivasan, H Viswanathan, ...
Multiscale Modeling & Simulation 16 (4), 1948-1968, 2018
462018
Measuring global disease with Wikipedia: Success, failure, and a research agenda
R Priedhorsky, D Osthus, AR Daughton, KR Moran, N Generous, ...
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative …, 2017
392017
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ...
Elife 12, e81916, 2023
372023
Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited
D Osthus, AR Daughton, R Priedhorsky
PLoS computational biology 15 (2), e1006599, 2019
322019
Calibrating the stress-time curve of a combined finite-discrete element method to a Split Hopkinson Pressure Bar experiment
D Osthus, HC Godinez, E Rougier, G Srinivasan
International Journal of Rock Mechanics and Mining Sciences 106, 278-288, 2018
322018
Ensemble forecasts of Coronavirus Disease 2019 (COVID-19) in the US medRxiv
EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ...
Published online August 22, 2020.08, 2020
232020
Fourier amplitude sensitivity test applied to dynamic combined finite‐discrete element methods–based simulations
HC Godinez, E Rougier, D Osthus, Z Lei, E Knight, G Srinivasan
International Journal for Numerical and Analytical Methods in Geomechanics …, 2019
182019
COFFEE: COVID-19 forecasts using fast evaluations and estimation
L Castro, G Fairchild, I Michaud, D Osthus
arXiv preprint arXiv:2110.01546, 2021
172021
Google Health Trends performance reflecting dengue incidence for the Brazilian states
D Romero-Alvarez, N Parikh, D Osthus, K Martinez, N Generous, ...
BMC infectious diseases 20, 1-15, 2020
172020
Physics-informed machine learning for backbone identification in discrete fracture networks
S Srinivasan, E Cawi, J Hyman, D Osthus, A Hagberg, H Viswanathan, ...
Computational Geosciences 24, 1429-1444, 2020
162020
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