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article · Frontiers in Epidemiology

Insights on United States cumulative measles cases during the 2026 outbreak using ARIMA and generalized linear models

2026Open accessNorth-West University

In plain language

Researchers analysed historical measles surveillance data from 1997 to 2026 using four forecasting models to understand the nature of the 2026 outbreaks in the United States. They withheld early 2026 data for validation. All models, even those incorporating short-term patterns, significantly underestimated the cumulative cases by May 2026. This systematic underprediction indicates that the 2026 resurgence is not a continuation of past trends but a distinct, more severe outbreak. The projected annual case burden for 2026 was already reached by May, suggesting public health tracking needs to adapt to this heightened risk, as the final case burden will substantially exceed previous years.

Key takeaways

  • Four forecasting models were used to analyse historical measles surveillance data from 1997 to 2026.
  • All models underestimated the cumulative measles cases recorded by May 2026 in the United States.
  • The 2026 measles outbreak represents a distinct and more severe regime compared to previous years.
  • The projected annual measles burden for 2026 was already reached by May.
  • Public health tracking must adapt to this heightened risk environment, as the final case burden will be substantially higher.

Why it matters

This research highlights the unexpected severity of the 2026 measles outbreak, indicating a significant public health challenge. Understanding that current trends do not explain the surge is crucial for public health authorities to adapt their strategies and prepare for a much higher case burden than anticipated.

Commercialisation angle

This research provides critical insights for public health organisations and policymakers to refine disease surveillance and response strategies during severe outbreaks. It does not indicate a direct commercial application or product pathway, but rather informs strategic public health planning and resource allocation.

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Abstract

To understand the nature of the current measles outbreaks taking place across the United States in 2026, we analyzed historical surveillance data dating back to 1997 using four distinct forecasting models. By withholding data from the first four months of 2026 for out-of-sample validation, we evaluated how well traditional trend tracking and temporal dependence could anticipate this year's trajectory. While models incorporating short-term patterns performed best overall, every single model underestimated the cumulative cases recorded by May 1, 2026. This systematic underprediction reveals that the ongoing resurgence cannot be explained merely as a continuation of past trends or 2025 outbreak effects. Instead, 2026 represents a distinct, more severe outbreak regime, as the projected annual burden was already reached by May. These findings indicate that public health tracking must adapt to this heightened risk environment, and warn that the final 2026 case burden will substantially exceed that of previous years.

Research topics

  • Virology and Viral Diseases
  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.3389/fepid.2026.1921780

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