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 |
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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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