Evidence map›Paper›PMID 26424846›Full record

ArticleJournal of epidemiology and community health2016

Social contacts, vaccination decisions and influenza in Japan.

Yoko Ibuka, Yasushi Ohkusa, Tamie Sugawara, Gretchen B Chapman, Dan Yamin, Katherine E Atkins, Kiyosu Taniguchi, Nobuhiko Okabe, Alison P Galvani

Open access · hybridAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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  16. Epidemic modeling with heterogeneity and social diffusion.Journal of mathematical biology · 2023
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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

9 authors at 5 institutions in 3 countries.

Yoko IbukaGraduate School of Economics and Management, Tohoku University, Sendai, Japan.
Yasushi OhkusaInfectious Disease Surveillance Center, National Institute of Infectious Diseases, Tokyo, Japan.
Tamie SugawaraInfectious Disease Surveillance Center, National Institute of Infectious Diseases, Tokyo, Japan.
Gretchen B ChapmanDepartment of Psychology, Rutgers University, Piscataway, New Jersey, USA.
Dan YaminSchool of Public Health, Yale University, New Haven, Connecticut, USA.
Katherine E AtkinsSchool of Public Health, Yale University, New Haven, Connecticut, USA Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Kiyosu TaniguchiInfectious Disease Surveillance Center, National Institute of Infectious Diseases, Tokyo, Japan Department of Clinical Research, National Mie Hospital, Tsu, Japan.
Nobuhiko OkabeInfectious Disease Surveillance Center, National Institute of Infectious Diseases, Tokyo, Japan Kawasaki City Institute for Public Health, Kawasaki, Japan.
Alison P GalvaniSchool of Public Health, Yale University, New Haven, Connecticut, USA.
National Institute of Infectious Diseases · JPYale University · USLondon School of Hygiene & Tropical Medicine · GBRutgers, The State University of New Jersey · USTohoku University · JP

Funding

Evaluating the social influences that impact vaccination decisionsU01GM105627 · NIGMS · YALE UNIVERSITY · PI GALVANI, ALISON P · 2013 to 2017
$1.6M
NIGMS NIH HHS U01 GM105627NIGMS NIH HHS U01-GM105627-01
6 · The paper itself

Abstract

backgroundContact patterns and vaccination decisions are fundamental to transmission dynamics of infectious diseases. We report on age-specific contact patterns in Japan and their effect on influenza vaccination behaviour.

methodsJapanese adults (N=3146) were surveyed in Spring 2011 to assess the number of their social contacts within a 24 h period, defined as face-to-face conversations within 2 m, and gain insight into their influenza-related behaviour. We analysed the duration and location of contacts according to age. Additionally, we analysed the probability of vaccination and influenza infection in relation to the number of contacts controlling for individual's characteristics.

resultsThe mean and median reported numbers of daily contacts were 15.3 and 12.0, respectively. School-aged children and young adults reported the greatest number of daily contacts, and individuals had the most contacts with those in the same age group. The age-specific contact patterns were different between men and women, and differed between weekdays and weekends. Children had fewer contacts between the same age groups during weekends than during weekdays, due to reduced contacts at school. The probability of vaccination increased with the number of contacts, controlling for age and household size. Influenza infection among unvaccinated individuals was higher than for those vaccinated, and increased with the number of contacts.

conclusionsContact patterns in Japan are age and gender specific. These contact patterns, as well as their interplay with vaccination decisions and infection risks, can help inform the parameterisation of mathematical models of disease transmission and the design of public health policies, to control disease transmission.

Indexed as

Decision MakingInfluenza VaccinesSocial BehaviorAdolescentAdultAgedAged, 80 and overAge FactorsBiobehavioral SciencesChildChild, PreschoolFemaleHealth SurveysHumansInfantInfluenza, HumanInfluenza VaccinesCOMMUNICABLE DISEASESDisease modelingINFLUENZAPUBLIC HEALTH POLICY

Identifiers

PMID26424846
PMCPMC4752620
OpenAlexW2267558281

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.