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Modelling the Proportion of Influenza Infections within Households during Pandemic and Non-Pandemic Years

BACKGROUND: The key epidemiological difference between pandemic and seasonal influenza is that the population is largely susceptible during a pandemic, whereas, during non-pandemic seasons a level of immunity exists. The population-level efficacy of household-based mitigation strategies depends on t...

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Autores principales: Kwok, Kin On, Leung, Gabriel M., Riley, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136504/
https://www.ncbi.nlm.nih.gov/pubmed/21779380
http://dx.doi.org/10.1371/journal.pone.0022089
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author Kwok, Kin On
Leung, Gabriel M.
Riley, Steven
author_facet Kwok, Kin On
Leung, Gabriel M.
Riley, Steven
author_sort Kwok, Kin On
collection PubMed
description BACKGROUND: The key epidemiological difference between pandemic and seasonal influenza is that the population is largely susceptible during a pandemic, whereas, during non-pandemic seasons a level of immunity exists. The population-level efficacy of household-based mitigation strategies depends on the proportion of infections that occur within households. In general, mitigation measures such as isolation and quarantine are more effective at the population level if the proportion of household transmission is low. METHODS/RESULTS: We calculated the proportion of infections within households during pandemic years compared with non-pandemic years using a deterministic model of household transmission in which all combinations of household size and individual infection states were enumerated explicitly. We found that the proportion of infections that occur within households was only partially influenced by the hazard h of infection within household relative to the hazard of infection outside the household, especially for small basic reproductive numbers. During pandemics, the number of within-household infections was lower than one might expect for a given [Image: see text] because many of the susceptible individuals were infected from the community and the number of susceptible individuals within household was thus depleted rapidly. In addition, we found that for the value of [Image: see text] at which 30% of infections occur within households during non-pandemic years, a similar 31% of infections occur within households during pandemic years. INTERPRETATION: We suggest that a trade off between the community force of infection and the number of susceptible individuals in a household explains an apparent invariance in the proportion of infections that occur in households in our model. During a pandemic, although there are more susceptible individuals in a household, the community force of infection is very high. However, during non-pandemic years, the force of infection is much lower but there are fewer susceptible individuals within the household.
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spelling pubmed-31365042011-07-21 Modelling the Proportion of Influenza Infections within Households during Pandemic and Non-Pandemic Years Kwok, Kin On Leung, Gabriel M. Riley, Steven PLoS One Research Article BACKGROUND: The key epidemiological difference between pandemic and seasonal influenza is that the population is largely susceptible during a pandemic, whereas, during non-pandemic seasons a level of immunity exists. The population-level efficacy of household-based mitigation strategies depends on the proportion of infections that occur within households. In general, mitigation measures such as isolation and quarantine are more effective at the population level if the proportion of household transmission is low. METHODS/RESULTS: We calculated the proportion of infections within households during pandemic years compared with non-pandemic years using a deterministic model of household transmission in which all combinations of household size and individual infection states were enumerated explicitly. We found that the proportion of infections that occur within households was only partially influenced by the hazard h of infection within household relative to the hazard of infection outside the household, especially for small basic reproductive numbers. During pandemics, the number of within-household infections was lower than one might expect for a given [Image: see text] because many of the susceptible individuals were infected from the community and the number of susceptible individuals within household was thus depleted rapidly. In addition, we found that for the value of [Image: see text] at which 30% of infections occur within households during non-pandemic years, a similar 31% of infections occur within households during pandemic years. INTERPRETATION: We suggest that a trade off between the community force of infection and the number of susceptible individuals in a household explains an apparent invariance in the proportion of infections that occur in households in our model. During a pandemic, although there are more susceptible individuals in a household, the community force of infection is very high. However, during non-pandemic years, the force of infection is much lower but there are fewer susceptible individuals within the household. Public Library of Science 2011-07-14 /pmc/articles/PMC3136504/ /pubmed/21779380 http://dx.doi.org/10.1371/journal.pone.0022089 Text en Kwok 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
Kwok, Kin On
Leung, Gabriel M.
Riley, Steven
Modelling the Proportion of Influenza Infections within Households during Pandemic and Non-Pandemic Years
title Modelling the Proportion of Influenza Infections within Households during Pandemic and Non-Pandemic Years
title_full Modelling the Proportion of Influenza Infections within Households during Pandemic and Non-Pandemic Years
title_fullStr Modelling the Proportion of Influenza Infections within Households during Pandemic and Non-Pandemic Years
title_full_unstemmed Modelling the Proportion of Influenza Infections within Households during Pandemic and Non-Pandemic Years
title_short Modelling the Proportion of Influenza Infections within Households during Pandemic and Non-Pandemic Years
title_sort modelling the proportion of influenza infections within households during pandemic and non-pandemic years
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136504/
https://www.ncbi.nlm.nih.gov/pubmed/21779380
http://dx.doi.org/10.1371/journal.pone.0022089
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