Evidence map›Paper›PMID 27729047›Full record

ArticleTheoretical biology & medical modelling2016

Estimating transmission probability in schools for the 2009 H1N1 influenza pandemic in Italy.

Valentina Clamer, Ilaria Dorigatti, Laura Fumanelli, Caterina Rizzo, Andrea Pugliese

Open access · hybridAbstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 87% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Simulating respiratory disease transmission within and between classrooms to assess pandemic management strategies at schools.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  2. Within and between classroom transmission patterns of seasonal influenza among primary school students in Matsumoto city, Japan.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  3. Article
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

5 authors at 4 institutions in 2 countries.

Valentina ClamerDepartment of Mathematics, University of Trento, Via Sommarive 14, Trento, 38123, Italy.
Ilaria DorigattiMRC Centre for Outbreak Analysis & Modelling, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
Laura FumanelliCenter for Information Technology, Bruno Kessler Foundation, Trento, Italy.
Caterina RizzoIstituto Superiore di Sanità, Roma, Italy.
Andrea PuglieseDepartment of Mathematics, University of Trento, Via Sommarive 14, Trento, 38123, Italy. andrea.pugliese@unitn.it.ORCID 0000-0002-3512-8560
University of Trento · ITFondazione Bruno Kessler · ITImperial College London · GBIstituto Superiore di Sanità · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemic models are being extensively used to understand the main pathways of spread of infectious diseases, and thus to assess control methods. Schools are well known to represent hot spots for epidemic spread; hence, understanding typical patterns of infection transmission within schools is crucial for designing adequate control strategies. The attention that was given to the 2009 A/H1N1pdm09 flu pandemic has made it possible to collect detailed data on the occurrence of influenza-like illness (ILI) symptoms in two primary schools of Trento, Italy.

resultsThe data collected in the two schools were used to calibrate a discrete-time SIR model, which was designed to estimate the probabilities of influenza transmission within the classes, grades and schools using Markov Chain Monte Carlo (MCMC) methods. We found that the virus was mainly transmitted within class, with lower levels of transmission between students in the same grade and even lower, though not significantly so, among different grades within the schools. We estimated median values of R

conclusionsThe discrepancy between the values of R

Indexed as

ProbabilityComputer SimulationHumansIncidenceInfluenza A Virus, H1N1 SubtypeInfluenza, HumanItalyModels, TheoreticalPandemicsSchoolsBayesian inferenceDiscrete-time SIR epidemic modelInfluenzaTransmission probability in schools

Identifiers

PMID27729047
PMCPMC5059896
OpenAlexW2531258729

What OpenQuestion holds

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LicenceCC BY
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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.