1. Multi-scale phylodynamic modelling of rapid punctuated pathogen evolution
- Author
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Nguyen, Quang Dang, Chang, Sheryl L., Suster, Carl J. E., Rockett, Rebecca J., Sintchenko, Vitali, Sorrell, Tania C., and Prokopenko, Mikhail
- Subjects
Quantitative Biology - Populations and Evolution - Abstract
Computational multi-scale pandemic modelling remains a major and timely challenge. Here we identify specific requirements for a new class of pandemic models operating across three scales: (1) rapid pathogen evolution, punctuated by emergence of new variants, (2) human interactions within a heterogeneous population, and (3) public health responses which constrain individual actions to control the disease transmission. We then present a pandemic modelling framework satisfying these requirements and capable of simulating multi-scale dynamic feedback loops. The developed framework comprises a stochastic agent-based model of pandemic spread, coupled with a phylodynamic model of the within-host pathogen evolution. It is validated with a case study, modelling a rapid punctuated evolution of SARS-CoV-2, based on global and contemporary genomic surveillance data, during the COVID-19 transmission within a large heterogeneous population. We demonstrate that the model captures the essential features of the COVID-19 pandemic and the novel coronavirus evolution, while retaining computational tractability and scalability., Comment: 52 pages, 33 figures, 4 tables
- Published
- 2024