A single autoregressive integrated moving average with exogenous variable outperforms ensembles of autoregressive models for forecasting influenza hospitalizations in the contiguous United States.
Arraes Rocha Felix V; Rohani P; Drake JM · 2026 · Journal of the Royal Society, Interface
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Infectious disease forecasting is important to public health decision-making, particularly for mitigating the burden of seasonal influenza. We propose and evaluate comprehensive autoregressive modelling approaches (autoregressive…
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Metadata source: Europe PMC · DOI 10.1098/rsif.2025.0813