2011
DOI: 10.1093/aje/kwr122
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Influenza Transmission in Households During the 1918 Pandemic

Abstract: Analysis of historical data has strongly shaped our understanding of the epidemiology of pandemic influenza and informs analysis of current and future epidemics. Here, the authors analyzed previously unpublished documents from a large household survey of the "Spanish" H1N1 influenza pandemic, conducted in 1918, for the first time quantifying influenza transmissibility at the person-to-person level during that most lethal of pandemics. The authors estimated a low probability of person-to-person transmission rel… Show more

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Cited by 92 publications
(115 citation statements)
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“…The range of reproduction numbers across census tracts was 1.09-1.54, which is on the lower end of previous estimates for the 1918 pandemic (35)(36)(37)(38). However, basic reproduction numbers (R 0 ) greater than three have been reported on small spatial scales, such as military bases (39), prisons and ships (26), and even in some cities (25).…”
Section: Discussionmentioning
confidence: 66%
“…The range of reproduction numbers across census tracts was 1.09-1.54, which is on the lower end of previous estimates for the 1918 pandemic (35)(36)(37)(38). However, basic reproduction numbers (R 0 ) greater than three have been reported on small spatial scales, such as military bases (39), prisons and ships (26), and even in some cities (25).…”
Section: Discussionmentioning
confidence: 66%
“…Despite pre-dating the isolation of the influenza virus, epidemiological records from the 1918 influenza pandemic have allowed much to be inferred about the transmission characteristics of the 1918 pandemic virus (henceforth pH1N11918) (e.g. Fraser et al, 2011;Valleron et al, 2010). However the ecological conditions which gave rise to the three distinct peaks of mortality over a period of just nine months in England and Wales (Smallman-Raynor et al, 2002;Pearce et al, 2011) remain intriguing.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, even when asymptomatic or inapparent infections are not observed at all, the impact they have on the epidemic dynamics may be observed on apparently unrelated statistics, providing a pathway to characterize them. For example, Fraser et al used reporting of symptoms during the 1918 influenza outbreak in a large sample of households in Baltimore to estimate the proportion of asymptomatic infections [56]. The main idea behind their approach is that, if a large proportion of household members report symptoms, this indicates that the proportion of asymptomatic infections cannot be very high.…”
Section: Quantifying Asymptomatic Infections and Disease Severitymentioning
confidence: 99%