Article

Enhancing Early Warning Outbreak Detection Using Multi Model Stacking Ensemble

2026-07-13

Abstract excerpt

<h4>Background</h4> Evaluating outbreak detection models is a key component of syndromic surveillance. However, balancing timeliness, predictive performance, and local surveillance constraints remains a major challenge. We developed and assessed whether stacking ensemble approaches, which integrate multiple outbreak detection methods, can improve the timeliness and predictive performance of influenza-like illness...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f40b3cdc-ba83-5de2-9595-1b8359ec3226
DOI: 10.64898/2026.07.09.26357658

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Enhancing Early Warning Outbreak Detection Using Multi Model Stacking EnsembleDOI 10.64898/2026.07.09.26357658Read

Retrospective evaluation of short-term forecast performance of ensemble sub-epidemic frameworks and other time-series models: The 2022-2023 mpox outbreak across multiple geographical scales, July 14<sup>th</sup>, 2022, through February 26th, 2023Semantic proximity Read

A dynamic ensemble model for short-term forecasting in pandemic situationsSemantic proximity Read

Performance evaluation of RespiCast ensemble forecasts for primary care syndromic indicators of viral respiratory disease in EuropeSemantic proximity Read

Ensemble Approaches for Robust and Generalizable Short-Term Forecasts of Dengue Fever. A retrospective and prospective evaluation study in over 180 locations around the worldSemantic proximity Read

Forecasting the daily COVID-19 incidence in large and small communities -- A comparative study of forecasting approaches for disease surveillanceSemantic proximity Read

Leveraging probabilistic forecasts for dengue preparedness and control: the 2024 Dengue Forecasting Sprint in BrazilSemantic proximity Read

Machine Learning and Probabilistic Approaches for Forecasting Infectious Disease Transmission and CasesSemantic proximity Read

Nowcasting and Forecasting the 2022 U.S. Mpox Outbreak: Support for Public Health Decision Making and Lessons LearnedSemantic proximity Read

Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S.Semantic proximity Read

The potential of resilience indicators to signal the risk of disease outbreaks, a systematic review and guideSemantic proximity Read

Forecasting COVID-19 with Temporal Hierarchies and Ensemble MethodsSemantic proximity Read

A Multi-pathogen Hospitalization Forecasting Model for the United States: An Optimized Geo-Hierarchical Ensemble FrameworkSemantic proximity Read