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TreeFix-TP: Phylogenetic Error-Correction for Infectious Disease Transmission Network Inference.

Samuel Sledzieski1, Chengchen Zhang, Ion Mandoiu

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TreeFix-TP accurately reconstructs infectious disease transmission phylogenies by correcting errors in evolutionary history. This improves outbreak source detection and network inference, even for large-scale epidemics.

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Area of Science:

  • Epidemiology
  • Computational Biology
  • Evolutionary Biology

Background:

  • Infectious disease transmission network inference relies on accurate phylogenetic reconstruction.
  • Existing phylogenetic methods can be error-prone and do not scale well for large outbreaks, hindering transmission network analysis.

Purpose of the Study:

  • To introduce TreeFix-TP, a novel method for accurate and scalable reconstruction of transmission phylogenies.
  • To improve the accuracy of phylogenetic inference for infectious disease outbreaks.

Main Methods:

  • TreeFix-TP employs an error-correction framework, integrating intra-host diversity and host information.
  • It balances parsimonious transmission network evaluation with statistical hypothesis testing on sequence data likelihood.
  • The method reconstructs trees that minimize transmissions while maintaining high sequence data support.

Main Results:

  • TreeFix-TP demonstrated improved phylogenetic accuracy in simulations of viral transmission and evolution.
  • The method enhanced outbreak source detection using real-world Hepatitis C Virus (HCV) outbreak data.
  • Performance remained robust across various transmission and evolutionary parameters.

Conclusions:

  • TreeFix-TP significantly enhances transmission phylogeny inference and outbreak source detection.
  • The method offers a scalable and accurate solution for analyzing infectious disease transmission networks.
  • Open-source availability facilitates broader application in epidemiological studies.