ArticlePLoS medicine2011
Epidemiological characteristics of 2009 (H1N1) pandemic influenza based on paired sera from a longitudinal community cohort study.
Article in PLoS medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 3 of them syntheses that pooled it.
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Who cites it
81 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Review Article: The Fraction of Influenza Virus Infections That Are Asymptomatic: A Systematic Review and Meta-analysis.Epidemiology (Cambridge, Mass.) · 2015Pooled it
- Case fatality risk of influenza A (H1N1pdm09): a systematic review.Epidemiology (Cambridge, Mass.) · 2013Pooled it
- Estimating age-specific cumulative incidence for the 2009 influenza pandemic: a meta-analysis of A(H1N1)pdm09 serological studies from 19 countries.Influenza and other respiratory viruses · 2013Pooled it
- Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course.PLoS biology · 2024Article
- Evaluating equity-promoting interventions to prevent race-based inequities in influenza outcomes.medRxiv : the preprint server for health sciences · 2024Article
- Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course.medRxiv : the preprint server for health sciences · 2024Article
- Exploring the impact of population ageing on the spread of emerging respiratory infections and the associated burden of mortality.BMC infectious diseases · 2023Article
- Determining Existing Human Population Immunity as Part of Assessing Influenza Pandemic Risk.Emerging infectious diseases · 2022Article
- Protein-bound sialic acid in saliva contributes directly to salivary anti-influenza virus activity.Scientific reports · 2022Article
- Reconstructing antibody dynamics to estimate the risk of influenza virus infection.Nature communications · 2022Article
- Article
- SARS-CoV-2: lessons from both the history of medicine and from the biological behavior of other well-known viruses.Future microbiology · 2021Review
- Real-time seroprevalence and exposure levels of emerging pathogens in infection-naive host populations.Scientific reports · 2021Article
- Symptoms, Infection Duration, and Hemagglutinin Inhibition Antibody Response in Influenza A Infections.The Journal of infectious diseases · 2021Article
- Incidence of influenza virus infections confirmed by serology in children and adult in a suburb community, northern China, 2018-2019 influenza season.Influenza and other respiratory viruses · 2021Article
- Using serological measures to estimate influenza incidence in the presence of secular trends in exposure and immuno-modulation of antibody response.Influenza and other respiratory viruses · 2021Article
- Estimates of the severity of coronavirus disease 2019: a model-based analysis.The Lancet. Infectious diseases · 2020Article
- Dynamic interactions of influenza viruses in Hong Kong during 1998-2018.PLoS computational biology · 2020Article
- [Coronavirus: Predictive brain and terror management].L'Encephale · 2020Article
- An open source tool to infer epidemiological and immunological dynamics from serological data: serosolver.PLoS computational biology · 2020Article
21 more citing papers are in PubMed but not listed here.
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Abstract
backgroundWhile patterns of incidence of clinical influenza have been well described, much uncertainty remains over patterns of incidence of infection. The 2009 pandemic provided both the motivation and opportunity to investigate patterns of mild and asymptomatic infection using serological techniques. However, to date, only broad epidemiological patterns have been defined, based on largely cross-sectional study designs with convenience sampling frameworks. METHODS AND
findingsWe conducted a paired serological survey of a cohort of households in Hong Kong, recruited using random digit dialing, and gathered data on severe confirmed cases from the public hospital system (>90% inpatient days). Paired sera were obtained from 770 individuals, aged 3 to 103, along with detailed individual-level and household-level risk factors for infection. Also, we extrapolated beyond the period of our study using time series of severe cases and we simulated alternate study designs using epidemiological parameters obtained from our data. Rates of infection during the period of our study decreased substantially with age: for 3-19 years, the attack rate was 39% (31%-49%); 20-39 years, 8.9% (5.3%-14.7%); 40-59 years, 5.3% (3.5%-8.0%); and 60 years or older, 0.77% (0.18%-4.2%). We estimated parameters for a parsimonious model of infection in which a linear age term and the presence of a child in the household were used to predict the log odds of infection. Patterns of symptom reporting suggested that children experienced symptoms more often than adults. The overall rate of confirmed pandemic (H1N1) 2009 influenza (H1N1pdm) deaths was 7.6 (6.2-9.5) per 100,000 infections. However, there was substantial and progressive increase in deaths per 100,000 infections with increasing age from 0.66 (0.65-0.86) for 3-19 years up to 220 (50-4,000) for 60 years and older. Extrapolating beyond the period of our study using rates of severe disease, we estimated that 56% (43%-69%) of 3-19 year olds and 16% (13%-18%) of people overall were infected by the pandemic strain up to the end of January 2010. Using simulation, we found that, during 2009, larger cohorts with shorter follow-up times could have rapidly provided similar data to those presented here.
conclusionsShould H1N1pdm evolve to be more infectious in older adults, average rates of severe disease per infection could be higher in future waves: measuring such changes in severity requires studies similar to that described here. The benefit of effective vaccination against H1N1pdm infection is likely to be substantial for older individuals. Revised pandemic influenza preparedness plans should include prospective serological cohort studies. Many individuals, of all ages, remained susceptible to H1N1pdm after the main 2009 wave in Hong Kong. Please see later in the article for the Editors' Summary.
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