en
Scientific article
Open access
English

Inferring epidemic contact structure from phylogenetic trees

Published inPLoS computational biology, vol. 8, no. 3, e1002413
Publication date2012
Abstract

Contact structure is believed to have a large impact on epidemic spreading and consequently using networks to model such contact structure continues to gain interest in epidemiology. However, detailed knowledge of the exact contact structure underlying real epidemics is limited. Here we address the question whether the structure of the contact network leaves a detectable genetic fingerprint in the pathogen population. To this end we compare phylogenies generated by disease outbreaks in simulated populations with different types of contact networks. We find that the shape of these phylogenies strongly depends on contact structure. In particular, measures of tree imbalance allow us to quantify to what extent the contact structure underlying an epidemic deviates from a null model contact network and illustrate this in the case of random mixing. Using a phylogeny from the Swiss HIV epidemic, we show that this epidemic has a significantly more unbalanced tree than would be expected from random mixing.

Keywords
  • Contact Tracing/methods
  • Disease Transmission, Infectious/statistics & numerical data
  • Female
  • Genetic Predisposition to Disease/epidemiology/genetics
  • HIV Infections/epidemiology/genetics
  • Humans
  • Male
  • Phylogeny
  • Prevalence
  • Proportional Hazards Models
  • Risk Assessment/methods
  • Risk Factors
  • Switzerland/epidemiology
Citation (ISO format)
LEVENTHAL, Gabriel E et al. Inferring epidemic contact structure from phylogenetic trees. In: PLoS computational biology, 2012, vol. 8, n° 3, p. e1002413. doi: 10.1371/journal.pcbi.1002413
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Article (Published version)
accessLevelPublic
Identifiers
ISSN of the journal1553-734X
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181downloads

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