Article

Multi-model ensembles in infectious disease and public health: Methods, interpretation, and implementation in R

2024-06-25

Abstract excerpt

Combining predictions from multiple models into an ensemble is a widely used practice across many fields with demonstrated performance benefits. Popularized through domains such as weather forecasting and climate modeling, multi-model ensembles are becoming increasingly common in public health and biological applications. For example, multi-model outbreak forecasting provides more accurate and reliable information...

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Literature Corpus work: 58d26407-ff20-579c-a9a4-7e5377099d79
DOI: 10.1101/2024.06.24.24309416

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