Evidence map›Paper›PMID 25144780›Full record

ArticlePLoS pathogens2014

Determinants of influenza transmission in South East Asia: insights from a household cohort study in Vietnam.

Simon Cauchemez, Neil M Ferguson, Annette Fox, Le Quynh Mai, Le Thi Thanh, Pham Quang Thai, Dang Dinh Thoang, Tran Nhu Duong, Le Nguyen Minh Hoa, Nguyen Tran Hien and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 55 citations in OpenAlex.

  1. Trial
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  7. Incidence of Scrub Typhus in Rural South India.The New England journal of medicine · 2025
    Observational
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  12. Reconstructing household transmission dynamics to estimate the infectiousness of asymptomatic influenza virus infections.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 4 countries.

Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France; MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Neil M FergusonMRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Annette FoxOxford University Clinical Research Unit - Wellcome Trust Major Overseas Programme, Hanoi, Vietnam; Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia.
Le Quynh MaiNational Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Le Thi ThanhNational Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Pham Quang ThaiNational Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Dang Dinh ThoangHa Nam Centre for Preventive Medicine, Ha Nam, Vietnam.
Tran Nhu DuongNational Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Le Nguyen Minh HoaOxford University Clinical Research Unit - Wellcome Trust Major Overseas Programme, Hanoi, Vietnam.
Nguyen Tran HienNational Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Peter HorbyOxford University Clinical Research Unit - Wellcome Trust Major Overseas Programme, Hanoi, Vietnam.
National Institute Of Hygiene And Epidemiology · VNImperial College London · GBOxford University Clinical Research Unit · VNUniversity of Melbourne · AU

Funding

Wellcome TrustWellcome Trust 077078/Z/05/ZWellcome Trust 081613/Z/06/Z
6 · The paper itself

Abstract

To guide control policies, it is important that the determinants of influenza transmission are fully characterized. Such assessment is complex because the risk of influenza infection is multifaceted and depends both on immunity acquired naturally or via vaccination and on the individual level of exposure to influenza in the community or in the household. Here, we analyse a large household cohort study conducted in 2007-2010 in Vietnam using innovative statistical methods to ascertain in an integrative framework the relative contribution of variables that influence the transmission of seasonal (H1N1, H3N2, B) and pandemic H1N1pdm09 influenza. Influenza infection was diagnosed by haemagglutination-inhibition (HI) antibody assay of paired serum samples. We used a Bayesian data augmentation Markov chain Monte Carlo strategy based on digraphs to reconstruct unobserved chains of transmission in households and estimate transmission parameters. The probability of transmission from an infected individual to another household member was 8% (95% CI, 6%, 10%) on average, and varied with pre-season titers, age and household size. Within households of size 3, the probability of transmission from an infected member to a child with low pre-season HI antibody titers was 27% (95% CI 21%-35%). High pre-season HI titers were protective against infection, with a reduction in the hazard of infection of 59% (95% CI, 44%-71%) and 87% (95% CI, 70%-96%) for intermediate (1∶20-1∶40) and high (≥1∶80) HI titers, respectively. Even after correcting for pre-season HI titers, adults had half the infection risk of children. Twenty six percent (95% CI: 21%, 30%) of infections may be attributed to household transmission. Our results highlight the importance of integrated analysis by influenza sub-type, age and pre-season HI titers in order to infer influenza transmission risks in and outside of the household.

Indexed as

AdolescentAdultChildChild, PreschoolCohort StudiesFamily CharacteristicsFemaleHemagglutination Inhibition TestsHumansInfluenza, HumanMaleMiddle AgedModels, StatisticalVietnamYoung Adult

Identifiers

PMID25144780
PMCPMC4140851
OpenAlexW2054238809

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.