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Hidden Burden of a Measles Outbreak Revealed by Genomic and Transmission Models
Abbey Marye1, Damon J A Toth2, George Vega Yon2
1Utah Department of Health and Human Services, Salt Lake City, UT, USA.
Abstract:
Declining childhood vaccination rates have fueled a resurgence of measles in the United States. Surveillance systems may not accurately measure the true extent of outbreaks. As of May 2026, the largest ongoing measles outbreak in the United States originated along the Utah-Arizona border in a community with high vaccine exemption rates and limited engagement with healthcare systems, leading to incomplete testing and reporting. To quantify the true outbreak size, we used two independent approaches with complementary data sources: a phylodynamic analysis and an agent-based model. Both methods found significant underreporting, estimating the true outbreak size to be 3.1- to 4.8-fold larger than reported, with confirmed cases representing only 20.96%-32.5% total infections. These findings suggest that substantial underreporting of measles occurs, especially in tight knit communities. The use of complementary analytical approaches to evaluate completeness of reporting can reveal the extent of measles transmission and aid control efforts.
Insights
Measles outbreaks are larger than reported due to undercounting, especially in communities with low vaccination rates. New analysis reveals true measles cases are 3-5 times higher than official figures.
Area of Science:
- Epidemiology
- Public Health
- Infectious Disease Modeling
Background:
- Declining childhood vaccination rates have led to a resurgence of measles in the U.S.
- Current surveillance systems may underestimate the true extent of measles outbreaks.
- A large ongoing outbreak along the Utah-Arizona border is characterized by high vaccine exemption rates and limited healthcare engagement.
Purpose of the Study:
- To quantify the true size of the measles outbreak along the Utah-Arizona border.
- To assess the extent of underreporting in measles surveillance.
- To evaluate the utility of complementary analytical approaches in understanding disease transmission.
Main Methods:
- Phylodynamic analysis of viral genetic data.
- Agent-based modeling simulating disease spread.
- Comparison of model outputs with reported case data.
Main Results:
- Both phylodynamic and agent-based models indicated significant underreporting of measles cases.
- The true outbreak size was estimated to be 3.1- to 4.8-fold larger than reported.
- Confirmed measles cases represented only 20.96%-32.5% of total infections.
Conclusions:
- Substantial underreporting of measles occurs, particularly in close-knit communities with low vaccination coverage.
- Complementary analytical methods are crucial for accurately assessing measles transmission.
- Improved surveillance and reporting are essential for effective measles control efforts.
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