Dave Osthus

11PUBLICATIONS
121CO-AUTHORS
Deep learningEpidemiological modellingDisease surveillanceDecision makingFuzzy computation
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Publications (11)

|Aug 27, 2026
Leveraging synthetic and genetic data to improve epidemic forecasting.

|Mar 21, 2026
A disease-agnostic approach to ensemble learning for infectious disease forecasting.

Alexander C Murph, Lauren J Beesley, G Casey Gibson

|Jun 03, 2022
Addressing delayed case reporting in infectious disease forecast modeling.

Lauren J Beesley, Dave Osthus, Sara Y Del Valle

|Apr 08, 2022
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States.

Estee Y Cramer, Evan L Ray, Velma K Lopez

|Jan 31, 2022
Fast and accurate influenza forecasting in the United States with Inferno.

Dave Osthus

|May 21, 2021
Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil.

Lauren A Castro, Nicholas Generous, Wei Luo

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Frequent Collaborators

3 joint publications

Sara Y Del Valle

3 joint publications

Nicholas G Reich

3 joint publications

Lauren A Castro

2 joint publications

Geoffrey Fairchild