Table 3.
Modeling of unobserved processes in the sequential phylogenetic family. For the sequence mutation process, NA stands for not applicable. Within-host evolution (modeled or not) includes whether the transmission bottleneck is complete or weak. When transmission is modeled, we mention the states hosts can find themselves in (S: susceptible, E: latent, I: infectious, R: removed). In addition, either geographical distance (spatial kernel), contact data, or random mixing are considered. Finally, the transmission model mentions whether there is only one index case possible (single introduction) or multiple. In the inference method, we mention how phylogenetic trees are used to infer transmission trees (either internal nodes or branches are labelled with the host or phylogenetic trees are used as a source of information). * means multiple sequences can be considered per epidemiological unit.
Method (Name) [Reference] | Sequence Mutation | Within-Host Evolution | Transmission | Case Observation | Inference Method |
---|---|---|---|---|---|
Cottam et al., 2008 [2] | NA | No explicit model | SEIR (latency/infectious period) | All cases are observed and sampled | Label internal nodes |
Complete | Random mixing | Maximum Likelihood |
|||
Single | |||||
Didelot et al., 2014 [17] | NA | Coalescent process | SIR (infectious period) | All cases are observed and sampled | Label branches |
Complete | Random mixing | Bayesian | |||
Single | |||||
Eldholm et al., 2016 [39] | NA | Coalescent process | SEIR (latency/infectious period) | Probability threshold | Information source |
Complete | Random mixing | Edmonds’ algorithm | |||
Single | |||||
Didelot et al., 2017 (Transphylo) [40] |
NA | Coalescent process | SI (generation times) | Proportion of sampled cases | Label branches |
Complete | Random mixing | Bayesian | |||
Single | |||||
Sashittal et al., 2020 (TiTUS) [31] | NA | No explicit model | No explicit model | All cases are observed and sampled | Label internal nodes |
Weak * | Logical problem |