ArticleScience progress
Quantifying the impact of time-delayed reporting and supportive care in measles outbreak: A simulation approach for Texas, USA.
Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examines how time delays in vaccination response, case reporting, and access to supportive care influence measles transmission during the recent outbreak in Texas, USA. We develop a delay-based compartmental model that captures both biological and operational features of measles control and calibrate it using Texas reported Measles incidence data from January 20 to May 27, 2025. Analytical and numerical results show that delays in reporting and intervention can substantially weaken outbreak control, allowing transmission to persist even in highly vaccinated populations. In contrast, timely case detection, improved vaccination uptake, and access to supportive care significantly reduce transmission and can drive the effective reproduction number below unity. These findings highlight the critical role of minimizing reporting and healthcare delays alongside sustained immunization efforts to prevent measles resurgence and support elimination goals in Texas and similar settings.
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Registered trials
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.