Estimating the basic reproduction number at the beginning of an outbreak

We compare several popular methods of estimating the basic reproduction number, R0, focusing on the early stages of an epidemic, and assuming weekly reports of new infecteds. We study the situation when data is generated by one of three standard epidemiological compartmental models: SIR, SEIR, and S...

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Main Authors: Sawitree Boonpatcharanon, Jane M. Heffernan, Hanna Jankowski
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205483/?tool=EBI
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author Sawitree Boonpatcharanon
Jane M. Heffernan
Hanna Jankowski
author_facet Sawitree Boonpatcharanon
Jane M. Heffernan
Hanna Jankowski
author_sort Sawitree Boonpatcharanon
collection DOAJ
description We compare several popular methods of estimating the basic reproduction number, R0, focusing on the early stages of an epidemic, and assuming weekly reports of new infecteds. We study the situation when data is generated by one of three standard epidemiological compartmental models: SIR, SEIR, and SEAIR; and examine the sensitivity of the estimators to the model structure. As some methods are developed assuming specific epidemiological models, our work adds a study of their performance in both a well-specified (data generating model and method model are the same) and miss-specified (data generating model and method model differ) settings. We also study R0 estimation using Canadian COVID-19 case report data. In this study we focus on examples of influenza and COVID-19, though the general approach is easily extendable to other scenarios. Our simulation study reveals that some estimation methods tend to work better than others, however, no singular best method was clearly detected. In the discussion, we provide recommendations for practitioners based on our results.
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spelling doaj.art-bbc79ae8372b4c2f82386f0d6e9f6f6a2022-12-22T02:33:24ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01176Estimating the basic reproduction number at the beginning of an outbreakSawitree BoonpatcharanonJane M. HeffernanHanna JankowskiWe compare several popular methods of estimating the basic reproduction number, R0, focusing on the early stages of an epidemic, and assuming weekly reports of new infecteds. We study the situation when data is generated by one of three standard epidemiological compartmental models: SIR, SEIR, and SEAIR; and examine the sensitivity of the estimators to the model structure. As some methods are developed assuming specific epidemiological models, our work adds a study of their performance in both a well-specified (data generating model and method model are the same) and miss-specified (data generating model and method model differ) settings. We also study R0 estimation using Canadian COVID-19 case report data. In this study we focus on examples of influenza and COVID-19, though the general approach is easily extendable to other scenarios. Our simulation study reveals that some estimation methods tend to work better than others, however, no singular best method was clearly detected. In the discussion, we provide recommendations for practitioners based on our results.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205483/?tool=EBI
spellingShingle Sawitree Boonpatcharanon
Jane M. Heffernan
Hanna Jankowski
Estimating the basic reproduction number at the beginning of an outbreak
PLoS ONE
title Estimating the basic reproduction number at the beginning of an outbreak
title_full Estimating the basic reproduction number at the beginning of an outbreak
title_fullStr Estimating the basic reproduction number at the beginning of an outbreak
title_full_unstemmed Estimating the basic reproduction number at the beginning of an outbreak
title_short Estimating the basic reproduction number at the beginning of an outbreak
title_sort estimating the basic reproduction number at the beginning of an outbreak
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205483/?tool=EBI
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