Earlier quoted context omitted.
Can you give me a link to a good example of that (ideally, non-covid)? my understanding is that it's only good for relative rates over evolutionary time so I'd like to see a counterexample.
It's a completely common technique - the same way we're tracing the current Monkeypox outbreak. https://www.ecdc.europa.eu/en/news-events/epidemiological-up... And is useful from an anthropological perspective on older outbreaks, also for Monkeypox; https://www.nature.com/articles/s41598-021-92315-8 The rate of mutations, especially for a virus as transmissible as Covid is a very strong signal.
Here's the second paper's methods: a molecular clock signal was estimated on the ML tree using TempEst v1.532. BEAST v1.10.433 was used for Bayesian MCMC analysis to estimate temporal nodes. As recommended in Patrono et al., we selected the simplest model: strict clock and constant population size with a HKY substitution model and four Gamma categories7. An MCMC model was run with 50,000,000 generations and a burn-in of 25,000 sampled trees. All other parameters were by default. BEAST executions were completed checking chain convergence and sufficient sampling of the posterior space (ESS > 200) with Tracer v1.7.1. The final chronogram was generated using TreeAnnotator v1.10.433.
I'd call these "time-scaled trees", not molecular clocks.