Evidence map›Paper›PMID 41133654›Full record

ArticleEpidemiologia (Basel, Switzerland)2025

Modeling and Characterizing the Growth of the Texas-New Mexico Measles Outbreak of 2025.

Gilberto González-Parra, Annika Vestrand, Remy Mujynya

Abstract read
In one paragraph

Article in Epidemiologia (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The 2025 measles outbreak in Texas.BMC infectious diseases · 2026
    Article
  2. Article
  3. Bayesian spatial modeling of measles outbreak in Texas, USA.Environmental and ecological statistics · 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

3 authors.

Gilberto González-ParraDepartment of Mathematics, New Mexico Tech, Socorro, NM 87801, USA.ORCID 0000-0001-5847-678X
Annika VestrandDepartment of Mathematics, New Mexico Tech, Socorro, NM 87801, USA.
Remy MujynyaDepartment of Mathematics, New Mexico Tech, Socorro, NM 87801, USA.

Funding

Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health P20GM103451
6 · The paper itself

Abstract

backgroundIn late January 2025, a measles outbreak began in Gaines County, Texas, USA, and the outbreak extended to New Mexico. We used a variety of mathematical models to estimate the growth rate of the Texas-New Mexico measles outbreak of 2025.

methodsWe used both empirical and mechanistic models based on differential equations to make the estimations that allow us to characterize this measles outbreak. Regarding empirical models, we used the exponential growth model to compute and estimate the growth rate, basic reproduction number, R0, and effective reproduction number Rt. With regard to mechanistic models, we use the SIR and SEIR models to estimate the growth rate, basic reproduction number R0, and effective reproduction number Rt. We used new weekly measles cases and also cumulative cases.

resultsUsing the exponential growth model, we estimated a basic reproduction number between 32 and 40. For the classical SIR model, we estimated that the basic reproduction number is approximately 30.

conclusionWe found that the current Texas-New Mexico measles outbreak of 2025 has a slightly higher growth rate and effective reproduction number Rt compared to several previous measles outbreaks around the world.

Indexed as

effective reproduction numbergrowth ratemathematical modelingmeasles outbreak

Identifiers

PMID41133654
PMCPMC12550906

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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.