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Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks

Use of the final size distribution of minor outbreaks for the estimation of the reproduction numbers of supercritical epidemic processes has yet to be considered. We used a branching process model to derive the final size distribution of minor outbreaks, assuming a reproduction number above unity, a...

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Autores principales: Nishiura, Hiroshi, Yan, Ping, Sleeman, Candace K., Mode, Charles J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3249525/
https://www.ncbi.nlm.nih.gov/pubmed/22079419
http://dx.doi.org/10.1016/j.jtbi.2011.10.039
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author Nishiura, Hiroshi
Yan, Ping
Sleeman, Candace K.
Mode, Charles J.
author_facet Nishiura, Hiroshi
Yan, Ping
Sleeman, Candace K.
Mode, Charles J.
author_sort Nishiura, Hiroshi
collection PubMed
description Use of the final size distribution of minor outbreaks for the estimation of the reproduction numbers of supercritical epidemic processes has yet to be considered. We used a branching process model to derive the final size distribution of minor outbreaks, assuming a reproduction number above unity, and applying the method to final size data for pneumonic plague. Pneumonic plague is a rare disease with only one documented major epidemic in a spatially limited setting. Because the final size distribution of a minor outbreak needs to be normalized by the probability of extinction, we assume that the dispersion parameter (k) of the negative-binomial offspring distribution is known, and examine the sensitivity of the reproduction number to variation in dispersion. Assuming a geometric offspring distribution with k=1, the reproduction number was estimated at 1.16 (95% confidence interval: 0.97–1.38). When less dispersed with k=2, the maximum likelihood estimate of the reproduction number was 1.14. These estimates agreed with those published from transmission network analysis, indicating that the human-to-human transmission potential of the pneumonic plague is not very high. Given only minor outbreaks, transmission potential is not sufficiently assessed by directly counting the number of offspring. Since the absence of a major epidemic does not guarantee a subcritical process, the proposed method allows us to conservatively regard epidemic data from minor outbreaks as supercritical, and yield estimates of threshold values above unity.
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spelling pubmed-32495252013-02-07 Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks Nishiura, Hiroshi Yan, Ping Sleeman, Candace K. Mode, Charles J. J Theor Biol Article Use of the final size distribution of minor outbreaks for the estimation of the reproduction numbers of supercritical epidemic processes has yet to be considered. We used a branching process model to derive the final size distribution of minor outbreaks, assuming a reproduction number above unity, and applying the method to final size data for pneumonic plague. Pneumonic plague is a rare disease with only one documented major epidemic in a spatially limited setting. Because the final size distribution of a minor outbreak needs to be normalized by the probability of extinction, we assume that the dispersion parameter (k) of the negative-binomial offspring distribution is known, and examine the sensitivity of the reproduction number to variation in dispersion. Assuming a geometric offspring distribution with k=1, the reproduction number was estimated at 1.16 (95% confidence interval: 0.97–1.38). When less dispersed with k=2, the maximum likelihood estimate of the reproduction number was 1.14. These estimates agreed with those published from transmission network analysis, indicating that the human-to-human transmission potential of the pneumonic plague is not very high. Given only minor outbreaks, transmission potential is not sufficiently assessed by directly counting the number of offspring. Since the absence of a major epidemic does not guarantee a subcritical process, the proposed method allows us to conservatively regard epidemic data from minor outbreaks as supercritical, and yield estimates of threshold values above unity. Published by Elsevier Ltd. 2012-02-07 2011-11-07 /pmc/articles/PMC3249525/ /pubmed/22079419 http://dx.doi.org/10.1016/j.jtbi.2011.10.039 Text en Crown copyright © 2011 Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Nishiura, Hiroshi
Yan, Ping
Sleeman, Candace K.
Mode, Charles J.
Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks
title Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks
title_full Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks
title_fullStr Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks
title_full_unstemmed Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks
title_short Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks
title_sort estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3249525/
https://www.ncbi.nlm.nih.gov/pubmed/22079419
http://dx.doi.org/10.1016/j.jtbi.2011.10.039
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