Evidence map›Paper›PMID 38693163›Full record

ArticleNature communications2024

Modelling the transmission dynamics of H9N2 avian influenza viruses in a live bird market.

Francesco Pinotti, Lisa Kohnle, José Lourenço, Sunetra Gupta, Md Ahasanul Hoque, Rashed Mahmud, Paritosh Biswas, Dirk Pfeiffer, Guillaume Fournié

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

9 authors.

Francesco PinottiDepartment of Biology, University of Oxford, Oxford, UK. francesco.pinotti@biology.ox.ac.uk.ORCID http://orcid.org/0000-0003-1953-2106
Lisa KohnleCity University of Hong Kong, Hong Kong SAR, Hong Kong.ORCID http://orcid.org/0000-0003-3181-0877
José LourençoCBR (Biomedical Research Centre), Universidade Católica Portuguesa, Oeiras, Portugal.
Sunetra GuptaDepartment of Biology, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9775-4006
Md Ahasanul HoqueChattogram Veterinary and Animal Sciences University, Chittagong, Bangladesh.
Rashed MahmudChattogram Veterinary and Animal Sciences University, Chittagong, Bangladesh.
Paritosh BiswasChattogram Veterinary and Animal Sciences University, Chittagong, Bangladesh.
Dirk PfeifferCity University of Hong Kong, Hong Kong SAR, Hong Kong.ORCID http://orcid.org/0000-0001-7000-0530
Guillaume FourniéRoyal Veterinary College, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

H9N2 avian influenza viruses (AIVs) are a major concern for the poultry sector and human health in countries where this subtype is endemic. By fitting a model simulating H9N2 AIV transmission to data from a field experiment, we characterise the epidemiology of the virus in a live bird market in Bangladesh. Many supplied birds arrive already exposed to H9N2 AIVs, resulting in many broiler chickens entering the market as infected, and many indigenous backyard chickens entering with pre-existing immunity. Most susceptible chickens become infected within one day spent at the market, owing to high levels of viral transmission within market and short latent periods, as brief as 5.3 hours. Although H9N2 AIV transmission can be substantially reduced under moderate levels of cleaning and disinfection, effective risk mitigation also requires a range of additional interventions targeting markets and other nodes along the poultry production and distribution network.

Indexed as

ChickensInfluenza A Virus, H9N2 SubtypeInfluenza in BirdsAnimalsBangladeshModels, BiologicalPoultry Diseases

Identifiers

PMID38693163
PMCPMC11063141

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.