Article

Using outlier detection methods to incorporate highly heterogeneous infection rates into compartment models

2026-06-24

Abstract excerpt

Superspreading events (SSEs) produce extreme, rare bursts of disease transmission that standard compartment models, which assume population homogeneity, fail to capture. This inability to model heterogeneity in transmission rates can result in biased estimates of transmissivity. To address this limitation, we present a modular framework that treats SSEs as statistical outliers in case count time series and incorpo...

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Literature Corpus work: 6eb0b3a5-9fe7-520a-9f4d-f66b407d5346
DOI: 10.64898/2026.06.22.26355953

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