• Corpus ID: 251719203

Spatial modeling of dyadic genetic relatedness data: Identifying factors associated with M. tuberculosis transmission in Moldova

@inproceedings{Warren2021SpatialMO,
  title={Spatial modeling of dyadic genetic relatedness data: Identifying factors associated with M. tuberculosis transmission in Moldova},
  author={Joshua L. Warren and Melanie H. Chitwood and Benjamin Sobkowiak and Valeriu Crudu and Caroline Colijn and Ted Cohen},
  year={2021}
}
Understanding factors that contribute to the increased likelihood of disease transmission between two individuals is important for infection control. However, analyzing measures of genetic relatedness is complicated due to correlation arising from the presence of the same individual across multiple dyadic outcomes, potential spatial correlation caused by unmeasured transmission dynamics, and the distinctive distributional characteristics of some of the outcomes. We develop two novel… 

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