Nic Vega

Jun 4, 2024 | biorxiv.org | Nic Vega

AbstractVariation in transmission plays a crucial role in shaping the dynamics of infectious diseases. Population heterogeneity is known to contribute to this variation and is often represented in epidemiological models. However, it is not always clear a priori what sources of variation should contribute meaningfully to a given scenario, and it can be challenging to infer distributions of underlying processes from data.

Feb 15, 2024 | biorxiv.org | Megan Taylor |Nic Vega

AbstractHeterogeneity is ubiquitous across individuals in biological data, and sample batching, a form of biological averaging, inevitably loses information about this heterogeneity. The consequences for inference from biologically averaged data are frequently opaque, particularly when the underlying populations are non-normal.