. ReMASTER parameters for outbreak simulations for the Scenario Testing section.

<p>The ‘Main Scenarios’ include the Baseline, Sampling and Transmission. Here constant rates were used for each reaction. In the ‘sampling’ scenario, the rate of sampling was increased 10-fold on day 35. In the transmission scenario, the rate of transmission was increased 3-fold on day 100. Fo...

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Bibliographic Details
Main Author:	Ciara Judge (20161514) (author)
Other Authors:	Timothy Vaughan (5654278) (author), Timothy Russell (20161517) (author), Sam Abbott (9548946) (author), Louis du Plessis (3264087) (author), Tanja Stadler (118822) (author), Oliver Brady (5331668) (author), Sarah Hill (101064) (author)
Published:	2024
Subjects:	Genetics Biotechnology Evolutionary Biology Cancer Infectious Diseases Computational Biology Mathematical Sciences not elsewhere classified surveillance rapidly changes scaled trees estimated remain largely distinct poorly sampled epidemics effective reproduction number accommodate future extensions respiratory virus outbreaks approach scales efficiently 2014 ebola outbreak phylodynamic observation models div >< p </ sub >) </ sub simulated outbreaks outbreak dynamics joint approach xlink "> weighted according sierra leone retrospective analysis phylogenetic uncertainty pathogen phylodynamics joint inference integrating phylodynamic infectious disease increases certainty genetic sequences fundamental challenge existing methods demonstrate advances dataset size complementary strengths circulating pathogen case incidence accurately estimating
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. ReMASTER parameters for outbreak simulations for the Scenario Testing section.

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