Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic waves

Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic waves

We construct a recursive Bayesian smoother, termed EpiFilter, for estimating the effective reproduction number, R, from the incidence of an infectious disease in real time and retrospectively. Our approach borrows from Kalman filtering theory, is quick and easy to compute, generalisable, determinist...

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Bibliographic Details
Main Author: Parag, K.V (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
algorithm
Algorithms
basic reproduction number
Basic Reproduction Number
Bayes theorem
Bayes Theorem
Bias
biology
communicable disease
communicable disease control
Communicable Disease Control
Communicable Diseases
Computational Biology
computer simulation
Computer Simulation
computer system
Computer Systems
COVID-19
epidemic
Epidemics
epidemiological monitoring
Epidemiological Monitoring
human
Humans
incidence
Incidence
influenza
Influenza A virus (H1N1)
Influenza A Virus, H1N1 Subtype
Influenza, Human
Linear Models
Markov chain
Markov Chains
Models, Statistical
New Zealand
prevention and control
Retrospective Studies
retrospective study
SARS-CoV-2
statistical bias
statistical model
time factor
Time Factors
United States
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