1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2023
Inferring HIV Transmission Patterns from Viral Deep-Sequence Data via Latent Typed Point Processes
Fan Bu, Joseph Kagaayi, Kate Grabowski +2
Viral deep-sequencing data play a crucial role toward understanding disease transmission network flows, because the higher resolution of these data compared to standard Sanger sequ…
stat.AP2021★ 1 cited
Inferring the sources of HIV infection in Africa from deep sequence data with semi-parametric Bayesian Poisson flow models
Xiaoyue Xi, Simon EF Spencer, Matthew Hall +3
Pathogen deep-sequencing is an increasingly routinely used technology in infectious disease surveillance. We present a semi-parametric Bayesian Poisson model to exploit these emerg…