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Updated: Feb 18, 2026

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A model-based clustering method to detect infectious disease transmission outbreaks from sequence variation.

Rosemary M McCloskey1, Art F Y Poon2,3,4

  • 1BC Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada.

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A new Markov-modulated Poisson process (MMPP) method accurately identifies infectious disease transmission clusters. This model-based approach improves upon nonparametric methods for public health outbreak management.

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Area of Science:

  • Epidemiology
  • Computational Biology
  • Public Health

Background:

  • Genetic similarity clustering aids in identifying infectious disease outbreaks.
  • Nonparametric methods are widely used but can be biased towards sampling time rather than transmission events.
  • Accurate identification of transmission clusters is crucial for public health interventions.

Purpose of the Study:

  • To develop a novel model-based genetic clustering method to overcome limitations of nonparametric approaches.
  • To accurately identify rapid transmission clusters for effective public health efforts.
  • To evaluate the performance of the new method against existing techniques using simulated and real-world data.

Main Methods:

  • Developed a Markov-modulated Poisson process (MMPP) model to represent transmission rate evolution.
  • Compared the MMPP method with five nonparametric clustering methods.
  • Utilized simulated infectious disease genetic data and actual HIV-1 sequence data from Seattle.

Main Results:

  • The MMPP method demonstrated higher sensitivity (85%) and specificity (91%) for simulated rapid transmission clusters.
  • MMPP categorized fewer individuals (46%) into clusters compared to nonparametric methods in HIV-1 data.
  • Clusters identified by MMPP showed significantly shorter internal branch lengths, indicating more recent transmission.

Conclusions:

  • The MMPP approach offers a more accurate and robust method for genetic clustering of infectious diseases.
  • This model-based method effectively distinguishes transmission clusters from diagnosis clusters.
  • The MMPP method has significant implications for optimizing public health outbreak management and resource allocation.