Back to search

Article

How Predictable Was the 2026 Bundibugyo Virus Disease Outbreak? A Rolling-Origin Evaluation of Short-Term Forecast Models, an Empirically Recalibrated Bayesian Model, and a Data-Driven Baseline–Bayesian Ensemble, Using Daily Surveillance Data

2026-07-30

Abstract excerpt

<h4>Background</h4> The 2026 outbreak of Bundibugyo virus disease in the Democratic Republic of the Congo generated the largest recorded epidemic caused by Bundibugyo virus and displayed unusually rapid early growth. Early scenario projections warned that the outbreak could become one of the largest Ebola-family epidemics on record, but were calibrated to assumed mortality totals and intervention scenarios rather...

Topics

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

Identifiers and source

Literature Corpus work
ff02d92c-a2f0-5d5b-9cf8-3422f913b9ea
DOI
10.64898/2026.07.28.26359159
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
How Predictable Was the 2026 Bundibugyo Virus Disease Outbreak? A Rolling-Origin Evaluation of Short-Term Forecast Models, an Empirically Recalibrated Bayesian Model, and a Data-Driven Baseline–Bayesian Ensemble, Using Daily Surveillance DataDOI 10.64898/2026.07.28.26359159
Select a neighboring publication to make it the new centre.