ArticleEmerging themes in epidemiology2014
Determining the dynamics of influenza transmission by age.
Article in Emerging themes in epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Time-varying reproductive number estimation for practical application in structured populations.Epidemiologic methods · 2025Article
- A Clinical and Economic Comparison of Cell-Based Versus Recombinant Influenza Vaccines in Adults 18-64 Years in the United States.Vaccines · 2024Article
- Spatiotemporal reproduction number with Bayesian model selection for evaluation of emerging infectious disease transmissibility: an application to COVID-19 national surveillance data.BMC medical research methodology · 2023Article
- Statistical Estimation of the Reproductive Number From Case Notification Data.American journal of epidemiology · 2021Review
- Practical considerations for measuring the effective reproductive number, Rt.PLoS computational biology · 2020Article
- Practical considerations for measuring the effective reproductive number,medRxiv : the preprint server for health sciences · 2020Article
- Estimating the relative probability of direct transmission between infectious disease patients.International journal of epidemiology · 2020Article
- Estimating age-specific reproductive numbers-A comparison of methods.Statistical methods in medical research · 2018Article
- Monitoring the age-specificity of measles transmissions during 2009-2016 in Southern China.PloS one · 2018Article
- Linking influenza epidemic onsets to covariates at different scales using a dynamical model.PeerJ · 2018Article
- Synchronicity of influenza activity within Phoenix, AZ during the 2015-2016 seasonal epidemic.BMC infectious diseases · 2017Article
- [Vaccinations from the pulmonologist's point of view].Der Internist · 2015Review
- The role of different social contexts in shaping influenza transmission during the 2009 pandemic.Scientific reports · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundIt is widely accepted that influenza transmission dynamics vary by age; however methods to quantify the reproductive number by age group are limited. We introduce a simple method to estimate the reproductive number by modifying the method originally proposed by Wallinga and Teunis and using existing information on contact patterns between age groups. We additionally perform a sensitivity analysis to determine the potential impact of differential healthcare seeking patterns by age. We illustrate this method using data from the 2009 H1N1 Influenza pandemic in Gauteng Province, South Africa.
resultsOur results are consistent with others in showing decreased transmission with age. We show that results can change markedly when we make the account for differential healthcare seeking behaviors by age.
conclusionsWe show substantial heterogeneity in transmission by age group during the Influenza A H1N1 pandemic in South Africa. This information can greatly assist in targeting interventions and implementing social distancing measures.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.