Replicating superspreader dynamics with birth-death phylodynamic models

Meehan, Michael T., Henderson, Alec S., Steinig, Eike, McBryde, Emma S., and Duchene, Sebastian (2023) Replicating superspreader dynamics with birth-death phylodynamic models. In: [Presented at the 9th International Conference on Infectious Disease Dynamics]. From: Epidemics 9: 9th International Conference on Infectious Disease Dynamics, 28 November - 1 December 2023, Bologna, Italy.

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Abstract

Infectious disease outbreaks often exhibit superspreader dynamics with a small fraction of individuals responsible for a large proportion of transmission.

Heterogeneity impacts outbreak risk and control efficacy Standard models typically neglect differential transmission, potentially introducing bias.

Multi-type models incorporate population heterogeneity with transmissibility typically linked to symptomatic status

Item ID: 83002
Item Type: Conference Item (Poster)
Funders: Australian Research Council (ARC)
Date Deposited: 26 Jun 2024 00:12
FoR Codes: 42 HEALTH SCIENCES > 4202 Epidemiology > 420205 Epidemiological modelling @ 60%
49 MATHEMATICAL SCIENCES > 4901 Applied mathematics > 490102 Biological mathematics @ 20%
31 BIOLOGICAL SCIENCES > 3104 Evolutionary biology > 310410 Phylogeny and comparative analysis @ 20%
SEO Codes: 20 HEALTH > 2004 Public health (excl. specific population health) > 200404 Disease distribution and transmission (incl. surveillance and response) @ 70%
28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280118 Expanding knowledge in the mathematical sciences @ 30%
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