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Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Rocky Mountain Spotted Fever01:26

Rocky Mountain Spotted Fever

Rocky Mountain Spotted Fever (RMSF) is a severe tick-borne illness caused by Rickettsia rickettsii, a Gram-negative, coccobacillary bacterium. This pathogen is an obligate intracellular parasite, requiring a host cell for replication. Transmission occurs through the bite of an infected tick. In the United States, the most important vectors are Dermacentor variabilis (American dog tick) and Dermacentor andersoni (Rocky Mountain wood tick), though other tick species may also serve as vectors.
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
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Vaccinations01:51

Vaccinations

Overview
Smallpox01:24

Smallpox

Smallpox is a severe contagious disease caused by the Variola major virus, a double-stranded DNA member of the Poxviridae family.Variola major transmission occurs primarily via inhalation of virus-laden droplets or direct contact with infectious scabs. The incubation period averages approximately seven days, although it may range from 7 to 17 days depending on the inoculum and host factors.Clinically, the prodromal phase is marked by an abrupt onset of high fever, malaise, headache, and myalgia.

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Risk of Measles Outbreak in Texas School Districts: A Modeling Study.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
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The health and economic repercussions of declining MMR coverage in the United States.

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Epidemiological review on the resurgence of measles outbreaks in Canada during the post-elimination era: A scoping review.

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Estimating US savings on outpatient prescription pharmaceuticals from international reference pricing.

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Related Experiment Video

Updated: Jun 27, 2026

Development of Multiplex Real-Time RT-qPCR Assays for the Detection of SARS-CoV-2, Influenza A/B, and MERS-CoV
03:53

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Published on: November 10, 2023

Risk and Spatial Spread of a Measles Outbreak in Texas.

Martial Loth Ndeffo-Mbah1,2, Sina Mokhtar3, Abhishek Pandey4

  • 1Department of Epidemiology & Biostatistics, Texas A&M University, College Station, TX 77843, USA.

Viruses
|June 26, 2026
PubMed
Summary

A measles outbreak in Texas could spread rapidly, especially from areas with low vaccination rates. Modeling shows outbreaks can reach major cities, highlighting the need for targeted vaccination strategies.

Keywords:
MMR vaccinationTexasepidemic modelingmeasles outbreakspatial spread

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Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Public Health

Background:

  • A measles outbreak occurred in Gaines County, Texas, in January 2025, with limited investigation into its geographic spread.
  • Measles transmission is influenced by vaccination coverage and population mobility.

Purpose of the Study:

  • To develop and utilize a measles transmission model to understand the geographic spread of outbreaks in Texas.
  • To assess the impact of vaccination coverage and mobility on measles transmission.
  • To identify high-risk counties and inform preemptive vaccination strategies.

Main Methods:

  • Developed a measles transmission model using MMR vaccination data (2020-2024) and human mobility data in Texas.
  • Conducted sensitivity analyses on model parameters like R0 and vaccination coverage.
  • Compared model predictions with the 2025 measles outbreak data.
  • Simulated outbreak scenarios originating in low-vaccination counties.

Main Results:

  • An outbreak in Gaines County has an 80% probability of causing outbreaks in eight neighboring West Texas counties.
  • Spatial spread is highly sensitive to the basic reproduction number (R0) and population-level MMR vaccination coverage.
  • Outbreaks in low-vaccination counties (Polk, Montague, Limestone) may spread to Houston and Dallas.

Conclusions:

  • Measles poses a significant risk for statewide outbreaks in Texas.
  • The developed modeling framework is valuable for county-level risk assessment.
  • Preemptive vaccination strategies are crucial for mitigating measles spread.