Evidence map›Paper›PMID 25427621›Full record

ArticleScientific reports2014

The role of different social contexts in shaping influenza transmission during the 2009 pandemic.

Marco Ajelli, Piero Poletti, Alessia Melegaro, Stefano Merler

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 42 citations in OpenAlex.

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  6. Spreading processes with mutations over multilayer networks.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  7. Evaluating the effect of targeted strategies as control tools for hypervirulent meningococcal C outbreaks: a case study from Tuscany, Italy, 2015 to 2016.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
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  14. Reactive school closure weakens the network of social interactions and reduces the spread of influenza.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  15. Comparison of methods to Estimate Basic Reproduction Number (Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
    Article
  16. Measurability of the epidemic reproduction number in data-driven contact networks.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

4 authors at 2 institutions in 1 country.

Marco AjelliBruno Kessler Foundation, Trento, Italy.
Piero Poletti1] Bruno Kessler Foundation, Trento, Italy [2] Dondena Centre for Research on Social Dynamics, Bocconi University, Milan, Italy.
Alessia MelegaroDondena Centre for Research on Social Dynamics, Bocconi University, Milan, Italy.
Stefano MerlerBruno Kessler Foundation, Trento, Italy.
Fondazione Bruno Kessler · ITBocconi University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluating the relative importance of different social contexts in which infection transmission occurs is critical for identifying optimal intervention strategies. Nonetheless, an overall picture of influenza transmission in different social contexts has yet to emerge. Here we provide estimates of the fraction of infections generated in different social contexts during the 2009 H1N1 pandemic in Italy by making use of a highly detailed individual-based model accounting for time use data and parametrized on the basis of observed age-specific seroprevalence. We found that 41.6% (95%CI: 39-43.7%) of infections occurred in households, 26.7% (95%CI: 21-33.2) in schools, 3.3% (95%CI: 1.7-5%) in workplaces, and 28.4% (95%CI: 24.6-31.9%) in the general community. The above estimates strongly depend on the lower susceptibility to infection of individuals 19+ years old compared to younger ones, estimated to be 0.2 (95%CI 0.12-0.28). We also found that school closure over the weekends contributed to decrease the effective reproduction number of about 8% and significantly affected the pattern of transmission. These results highlight the pivotal role played by schools in the transmission of the 2009 H1N1 influenza. They may be relevant in the evaluation of intervention options and, hence, for informing policy decisions.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolDisease SusceptibilityHumansInfantInfant, NewbornInfluenza A Virus, H1N1 SubtypeInfluenza, HumanItalyMiddle AgedModels, TheoreticalPandemics

Identifiers

PMID25427621
PMCPMC4245519
OpenAlexW1968074635

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.