Search results
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Title
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Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
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Author
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Thill, Jean-Claude, Janies, Daniel, Chen, Shi, Paul, Rajib
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Date Created
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2021
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Subjects--Topical
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Deep learning (Machine learning), COVID-19 (Disease)
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Description
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Background: Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and comprehensive data. Complex epidemiological systems such as COVID-19 are especially...
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Title
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Patch dynamics modeling framework from pathogens' perspective : Unified and standardized approach for complicated epidemic systems
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Author
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Janies, Daniel, Chen, Shi, Lo, Eugenia, Dulin, Michael
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Date Created
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2020
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Subjects--Topical
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Communicable diseases, Biology
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Description
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Mathematical models are powerful tools to investigate, simulate, and evaluate potential interventions for infectious diseases dynamics. Much effort has focused on the Susceptible-Infected-Recovered (SIR)-type compartment models. These models consi...
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Title
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Projected resurgence of COVID-19 in the United States in July-December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination
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Author
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Thill, Jean-Claude, Janies, Daniel, Chen, Shi
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Date Created
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2022
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Subjects--Topical
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COVID-19 (Disease), Vaccination
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Description
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In Spring 2021, the highly transmissible SARS-CoV-2 Delta variant began to cause increases in cases, hospitalizations, and deaths in parts of the United States. At the time, with slowed vaccination uptake, this novel variant was expected to increa...