ArticlePloS one2011
Modelling the proportion of influenza infections within households during pandemic and non-pandemic years.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Utilizing large language models in infectious disease transmission modelling for public health preparedness.Computational and structural biotechnology journal · 2024Article
- Quantifying age-specific household contacts in Aotearoa New Zealand for infectious disease modelling.Royal Society open science · 2024Article
- Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure.PloS one · 2018Article
- The role of different social contexts in shaping influenza transmission during the 2009 pandemic.Scientific reports · 2014Article
- Optimal design of studies of influenza transmission in households. II: comparison between cohort and case-ascertained studies.Epidemiology and infection · 2014Article
- Effect of the one-child policy on influenza transmission in China: a stochastic transmission model.PloS one · 2014Article
- Preventable and non-preventable risk factors for influenza transmission and hygiene behavior in German influenza households, pandemic season (H1N1) 2009/2010.Influenza and other respiratory viruses · 2013Article
- Identifying the relative priorities of subpopulations for containing infectious disease spread.PloS one · 2013Article
- Inferring the structure of social contacts from demographic data in the analysis of infectious diseases spread.PLoS computational biology · 2012Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe 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/
resultsWe 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 h 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 h at which 30% of infections occur within households during non-pandemic years, a similar 31% of infections occur within households during pandemic years.
interpretationWe 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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