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Reproductive Number and Serial Interval of the First Wave of Influenza A(H1N1)pdm09 Virus in South Africa

BACKGROUND/OBJECTIVE: Describing transmissibility parameters of past pandemics from diverse geographic sites remains critical to planning responses to future outbreaks. We characterize the transmissibility of influenza A(H1N1)pdm09 (hereafter pH1N1) in South Africa during 2009 by estimating the seri...

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Autores principales: Archer, Brett N., Tempia, Stefano, White, Laura F., Pagano, Marcello, Cohen, Cheryl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3500305/
https://www.ncbi.nlm.nih.gov/pubmed/23166682
http://dx.doi.org/10.1371/journal.pone.0049482
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author Archer, Brett N.
Tempia, Stefano
White, Laura F.
Pagano, Marcello
Cohen, Cheryl
author_facet Archer, Brett N.
Tempia, Stefano
White, Laura F.
Pagano, Marcello
Cohen, Cheryl
author_sort Archer, Brett N.
collection PubMed
description BACKGROUND/OBJECTIVE: Describing transmissibility parameters of past pandemics from diverse geographic sites remains critical to planning responses to future outbreaks. We characterize the transmissibility of influenza A(H1N1)pdm09 (hereafter pH1N1) in South Africa during 2009 by estimating the serial interval (SI), the initial effective reproductive number (initial R(t)) and the temporal variation of R(t). METHODS: We make use of data from a central registry of all pH1N1 laboratory-confirmed cases detected throughout South Africa. Whenever date of symptom onset is missing, we estimate it from the date of specimen collection using a multiple imputation approach repeated 100 times for each missing value. We apply a likelihood-based method (method 1) for simultaneous estimation of initial R(t) and the SI; estimate initial R(t) from SI distributions established from prior field studies (method 2); and the Wallinga and Teunis method (method 3) to model the temporal variation of R(t). RESULTS: 12,360 confirmed pH1N1 cases were reported in the central registry. During the period of exponential growth of the epidemic (June 21 to August 3, 2009), we simultaneously estimate a mean R(t) of 1.47 (95% CI: 1.30–1.72) and mean SI of 2.78 days (95% CI: 1.80–3.75) (method 1). Field studies found a mean SI of 2.3 days between primary cases and laboratory-confirmed secondary cases, and 2.7 days when considering both suspected and confirmed secondary cases. Incorporating the SI estimate from field studies using laboratory-confirmed cases, we found an initial R(t) of 1.43 (95% CI: 1.38–1.49) (method 2). The mean R(t) peaked at 2.91 (95% CI: 0.85–2.91) on June 21, as the epidemic commenced, and R(t)>1 was sustained until August 22 (method 3). CONCLUSIONS: Transmissibility characteristics of pH1N1 in South Africa are similar to estimates reported by countries outside of Africa. Estimations using the likelihood-based method are in agreement with field findings.
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spelling pubmed-35003052012-11-19 Reproductive Number and Serial Interval of the First Wave of Influenza A(H1N1)pdm09 Virus in South Africa Archer, Brett N. Tempia, Stefano White, Laura F. Pagano, Marcello Cohen, Cheryl PLoS One Research Article BACKGROUND/OBJECTIVE: Describing transmissibility parameters of past pandemics from diverse geographic sites remains critical to planning responses to future outbreaks. We characterize the transmissibility of influenza A(H1N1)pdm09 (hereafter pH1N1) in South Africa during 2009 by estimating the serial interval (SI), the initial effective reproductive number (initial R(t)) and the temporal variation of R(t). METHODS: We make use of data from a central registry of all pH1N1 laboratory-confirmed cases detected throughout South Africa. Whenever date of symptom onset is missing, we estimate it from the date of specimen collection using a multiple imputation approach repeated 100 times for each missing value. We apply a likelihood-based method (method 1) for simultaneous estimation of initial R(t) and the SI; estimate initial R(t) from SI distributions established from prior field studies (method 2); and the Wallinga and Teunis method (method 3) to model the temporal variation of R(t). RESULTS: 12,360 confirmed pH1N1 cases were reported in the central registry. During the period of exponential growth of the epidemic (June 21 to August 3, 2009), we simultaneously estimate a mean R(t) of 1.47 (95% CI: 1.30–1.72) and mean SI of 2.78 days (95% CI: 1.80–3.75) (method 1). Field studies found a mean SI of 2.3 days between primary cases and laboratory-confirmed secondary cases, and 2.7 days when considering both suspected and confirmed secondary cases. Incorporating the SI estimate from field studies using laboratory-confirmed cases, we found an initial R(t) of 1.43 (95% CI: 1.38–1.49) (method 2). The mean R(t) peaked at 2.91 (95% CI: 0.85–2.91) on June 21, as the epidemic commenced, and R(t)>1 was sustained until August 22 (method 3). CONCLUSIONS: Transmissibility characteristics of pH1N1 in South Africa are similar to estimates reported by countries outside of Africa. Estimations using the likelihood-based method are in agreement with field findings. Public Library of Science 2012-11-16 /pmc/articles/PMC3500305/ /pubmed/23166682 http://dx.doi.org/10.1371/journal.pone.0049482 Text en © 2012 Archer et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Archer, Brett N.
Tempia, Stefano
White, Laura F.
Pagano, Marcello
Cohen, Cheryl
Reproductive Number and Serial Interval of the First Wave of Influenza A(H1N1)pdm09 Virus in South Africa
title Reproductive Number and Serial Interval of the First Wave of Influenza A(H1N1)pdm09 Virus in South Africa
title_full Reproductive Number and Serial Interval of the First Wave of Influenza A(H1N1)pdm09 Virus in South Africa
title_fullStr Reproductive Number and Serial Interval of the First Wave of Influenza A(H1N1)pdm09 Virus in South Africa
title_full_unstemmed Reproductive Number and Serial Interval of the First Wave of Influenza A(H1N1)pdm09 Virus in South Africa
title_short Reproductive Number and Serial Interval of the First Wave of Influenza A(H1N1)pdm09 Virus in South Africa
title_sort reproductive number and serial interval of the first wave of influenza a(h1n1)pdm09 virus in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3500305/
https://www.ncbi.nlm.nih.gov/pubmed/23166682
http://dx.doi.org/10.1371/journal.pone.0049482
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