Rt trajectory fits for EpiFusion models on datasets with increasing observation noise.

Rt trajectory fits for EpiFusion models on datasets with increasing observation noise.

<p>The real Rt (black line) is smooth with increasing uncertainty in the fits introduced by noisy data, where the sampling rate changed every 7 days. The row labels (right) indicate the noise level (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012528#...

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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
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simulated outbreaks
outbreak dynamics
joint approach
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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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Description
Summary:<p>The real Rt (black line) is smooth with increasing uncertainty in the fits introduced by noisy data, where the sampling rate changed every 7 days. The row labels (right) indicate the noise level (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012528#sec002" target="_blank">Methods</a> ‘Noise Testing’ for more information).</p> <p>(TIFF)</p>

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