Evidence map›Paper›PMID 42357658›Full record

ArticleViruses2026

Risk and Spatial Spread of a Measles Outbreak in Texas.

Martial Loth Ndeffo-Mbah, Sina Mokhtar, Abhishek Pandey, Chad Richard Wells

Abstract read
In one paragraph

Article in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. The 2025 measles outbreak in Texas.BMC infectious diseases · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Martial Loth Ndeffo-MbahDepartment of Epidemiology & Biostatistics, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-4158-7613
Sina MokhtarDepartment of Mathematics & Statistics, University of New Mexico, Albuquerque, NM 87106, USA.ORCID 0000-0002-5401-1050
Abhishek PandeyCenter for Infectious Disease Modeling and Analysis, Yale University, New Haven, CT 06520, USA.ORCID 0000-0003-4578-7487
Chad Richard WellsCenter for Infectious Disease Modeling and Analysis, Yale University, New Haven, CT 06520, USA.ORCID 0000-0003-1370-8350

Funding

Texas A&M AgriLife Research None
6 · The paper itself

Abstract

In January 2025, a measles outbreak was reported in Gaines County, Texas, and subsequently spread to other counties and states. However, investigations into the geographic spread of this outbreak remain limited. We developed a measles transmission model parameterized with 2020-2024 measles-mumps-rubella (MMR) vaccination coverage and human mobility data in Texas. We conducted sensitivity analyses to evaluate how variation in model parameters affects outcomes. We compared model predictions to data from the 2025 measles outbreak and simulated scenarios for outbreak originating in different low vaccination counties. We found that an outbreak originating in Gaines County would have at least 80% probability of directly generating local outbreaks in eight neighboring counties in West Texas. The spatial spread was highly sensitive to the basic reproduction number (R0) and population-level MMR vaccination coverage. Outbreaks originating in counties with low MMR vaccination rates, such as Polk, Montague, or Limestone County, are likely to spread to large metropolitan areas such as Houston and Dallas. Measles has the potential to cause statewide outbreaks in Texas. Our modeling framework can inform county-level risk assessment and guide preemptive vaccination strategies.

Indexed as

Disease OutbreaksMeaslesBasic Reproduction NumberEpidemiological ModelsHumansMeasles-Mumps-Rubella VaccineRisk AssessmentTexasVaccinationVaccination CoverageMeasles-Mumps-Rubella Vaccineepidemic modelingmeasles outbreakMMR vaccinationspatial spreadTexas

Identifiers

PMID42357658
PMCPMC13307820

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.