Robust smoothing of left-censored time series data with a dynamic linear model to infer SARS-CoV-2 RNA concentrations in wastewater

Robust smoothing of left-censored time series data with a dynamic linear model to infer SARS-CoV-2 RNA concentrations in wastewater

Wastewater sampling for the detection and monitoring of SARS-CoV-2 has been developed and applied at an unprecedented pace, however uncertainty remains when interpreting the measured viral RNA signals and their spatiotemporal variation. The proliferation of measurements that are below a quantifiable...

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Bibliographic Details
Main Authors: Luke Lewis-Borrell, Jessica Irving, Chris J. Lilley, Marie Courbariaux, Gregory Nuel, Leon Danon, Kathleen M. O'Reilly, Jasmine M. S. Grimsley, Matthew J. Wade, Stefan Siegert
Format: Article
Language:English
Published: AIMS Press 2023-05-01
Series:AIMS Mathematics
Subjects:
dynamic linear model
wastewater-based epidemiology
covid-19
time series
left-censoring
bayesian inference
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023859?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2023859?viewType=HTML

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