Evidence map›Paper›PMID 23028760›Full record

ArticlePloS one2012

Quantifying transmission of highly pathogenic and low pathogenicity H7N1 avian influenza in turkeys.

Roberto A Saenz, Steve C Essen, Sharon M Brookes, Munir Iqbal, James L N Wood, Bryan T Grenfell, John W McCauley, Ian H Brown, Julia R Gog

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  13. Avian influenza.EFSA journal. European Food Safety Authority · 2017
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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 4 countries.

Roberto A SaenzDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom.
Steve C Essen
Sharon M Brookes
Munir Iqbal
James L N Wood
Bryan T Grenfell
John W McCauley
Ian H Brown
Julia R Gog
University of Cambridge · GBOrganisation Mondiale de la Santé Animale · FRAnimal and Plant Health Agency · GBNational Institute for Medical Research · TZPrinceton University · US

Funding

Infrastructure for Population Research at PrincetonR24HD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2004 to 2013
$7.3M
Biotechnology and Biological Sciences Research Council BB/E010849/1Biotechnology and Biological Sciences Research Council BBS/B/00093Biotechnology and Biological Sciences Research Council BBS/B/00522Medical Research Council MC_U117512723Medical Research Council MC_U117585868NICHD NIH HHS R24 HD047879
6 · The paper itself

Abstract

Outbreaks of avian influenza in poultry can be devastating, yet many of the basic epidemiological parameters have not been accurately characterised. In 1999-2000 in Northern Italy, outbreaks of H7N1 low pathogenicity avian influenza virus (LPAI) were followed by the emergence of H7N1 highly pathogenic avian influenza virus (HPAI). This study investigates the transmission dynamics in turkeys of representative HPAI and LPAI H7N1 virus strains from this outbreak in an experimental setting, allowing direct comparison of the two strains. The fitted transmission rates for the two strains are similar: 2.04 (1.5-2.7) per day for HPAI, 2.01 (1.6-2.5) per day for LPAI. However, the mean infectious period is far shorter for HPAI (1.47 (1.3-1.7) days) than for LPAI (7.65 (7.0-8.3) days), due to the rapid death of infected turkeys. Hence the basic reproductive ratio, [Formula: see text] is significantly lower for HPAI (3.01 (2.2-4.0)) than for LPAI (15.3 (11.8-19.7)). The comparison of transmission rates and [Formula: see text] are critically important in relation to understanding how HPAI might emerge from LPAI. Two competing hypotheses for how transmission rates vary with population size are tested by fitting competing models to experiments with differing numbers of turkeys. A model with frequency-dependent transmission gives a significantly better fit to experimental data than density-dependent transmission. This has important implications for extrapolating experimental results from relatively small numbers of birds to the commercial poultry flock size, and for how control, including vaccination, might scale with flock size.

Indexed as

AnimalsInfluenza A Virus, H7N1 SubtypeInfluenza in BirdsModels, BiologicalTime FactorsTurkeys

Identifiers

PMID23028760
PMCPMC3445558
OpenAlexW2067153790

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.