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Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling

AIM: To estimate the key transmission parameters associated with an outbreak of pandemic influenza in an institutional setting (New Zealand 1918). METHODS: Historical morbidity and mortality data were obtained from the report of the medical officer for a large military camp. A susceptible-exposed-in...

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Autores principales: Sertsou, Gabriel, Wilson, Nick, Baker, Michael, Nelson, Peter, Roberts, Mick G
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1693548/
https://www.ncbi.nlm.nih.gov/pubmed/17137517
http://dx.doi.org/10.1186/1742-4682-3-38
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author Sertsou, Gabriel
Wilson, Nick
Baker, Michael
Nelson, Peter
Roberts, Mick G
author_facet Sertsou, Gabriel
Wilson, Nick
Baker, Michael
Nelson, Peter
Roberts, Mick G
author_sort Sertsou, Gabriel
collection PubMed
description AIM: To estimate the key transmission parameters associated with an outbreak of pandemic influenza in an institutional setting (New Zealand 1918). METHODS: Historical morbidity and mortality data were obtained from the report of the medical officer for a large military camp. A susceptible-exposed-infectious-recovered epidemiological model was solved numerically to find a range of best-fit estimates for key epidemic parameters and an incidence curve. Mortality data were subsequently modelled by performing a convolution of incidence distribution with a best-fit incidence-mortality lag distribution. RESULTS: Basic reproduction number (R(0)) values for three possible scenarios ranged between 1.3, and 3.1, and corresponding average latent period and infectious period estimates ranged between 0.7 and 1.3 days, and 0.2 and 0.3 days respectively. The mean and median best-estimate incidence-mortality lag periods were 6.9 and 6.6 days respectively. This delay is consistent with secondary bacterial pneumonia being a relatively important cause of death in this predominantly young male population. CONCLUSION: These R(0 )estimates are broadly consistent with others made for the 1918 influenza pandemic and are not particularly large relative to some other infectious diseases. This finding suggests that if a novel influenza strain of similar virulence emerged then it could potentially be controlled through the prompt use of major public health measures.
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spelling pubmed-16935482006-12-11 Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling Sertsou, Gabriel Wilson, Nick Baker, Michael Nelson, Peter Roberts, Mick G Theor Biol Med Model Research AIM: To estimate the key transmission parameters associated with an outbreak of pandemic influenza in an institutional setting (New Zealand 1918). METHODS: Historical morbidity and mortality data were obtained from the report of the medical officer for a large military camp. A susceptible-exposed-infectious-recovered epidemiological model was solved numerically to find a range of best-fit estimates for key epidemic parameters and an incidence curve. Mortality data were subsequently modelled by performing a convolution of incidence distribution with a best-fit incidence-mortality lag distribution. RESULTS: Basic reproduction number (R(0)) values for three possible scenarios ranged between 1.3, and 3.1, and corresponding average latent period and infectious period estimates ranged between 0.7 and 1.3 days, and 0.2 and 0.3 days respectively. The mean and median best-estimate incidence-mortality lag periods were 6.9 and 6.6 days respectively. This delay is consistent with secondary bacterial pneumonia being a relatively important cause of death in this predominantly young male population. CONCLUSION: These R(0 )estimates are broadly consistent with others made for the 1918 influenza pandemic and are not particularly large relative to some other infectious diseases. This finding suggests that if a novel influenza strain of similar virulence emerged then it could potentially be controlled through the prompt use of major public health measures. BioMed Central 2006-11-30 /pmc/articles/PMC1693548/ /pubmed/17137517 http://dx.doi.org/10.1186/1742-4682-3-38 Text en Copyright © 2006 Sertsou et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Sertsou, Gabriel
Wilson, Nick
Baker, Michael
Nelson, Peter
Roberts, Mick G
Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling
title Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling
title_full Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling
title_fullStr Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling
title_full_unstemmed Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling
title_short Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling
title_sort key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1693548/
https://www.ncbi.nlm.nih.gov/pubmed/17137517
http://dx.doi.org/10.1186/1742-4682-3-38
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