Evidence map›Paper›PMID 29155812›Full record

ArticlePLoS computational biology2017

fluEvidenceSynthesis: An R package for evidence synthesis based analysis of epidemiological outbreaks.

Edwin van Leeuwen, Petra Klepac, Dominic Thorrington, Richard Pebody, Marc Baguelin

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

5 authors.

Edwin van LeeuwenRespiratory Diseases Department, Public Health England, London, United Kingdom.ORCID http://orcid.org/0000-0002-2383-5305
Petra KlepacRespiratory Diseases Department, Public Health England, London, United Kingdom.ORCID http://orcid.org/0000-0003-4132-3933
Dominic ThorringtonRespiratory Diseases Department, Public Health England, London, United Kingdom.
Richard PebodyRespiratory Diseases Department, Public Health England, London, United Kingdom.
Marc BaguelinRespiratory Diseases Department, Public Health England, London, United Kingdom.

Funding

Medical Research Council MR/J008761/1
6 · The paper itself

Abstract

Public health related decisions often have to balance the cost of intervention strategies with the benefit of the reduction in disease burden. While the cost can often be inferred, forward modelling of the effect of different intervention options is complicated and disease specific. Here we introduce a package that is aimed to simplify this process. The package allows one to infer parameters using a Bayesian approach, perform forward modelling of the likely results of the proposed intervention and finally perform cost effectiveness analysis of the results. The package is based on a method previously used in the United Kingdom to inform vaccination strategies for influenza, with extensions to make it easily adaptable to other diseases and data sources.

Indexed as

Computational BiologyBayes TheoremDisease OutbreaksHumansInfluenza, HumanInfluenza VaccinesModels, TheoreticalUnited KingdomInfluenza Vaccines

Identifiers

PMID29155812
PMCPMC5714397

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.