Evidence map›Paper›PMID 30314780›Full record

ArticlePreventive veterinary medicine2018

Dynamics of the 2004 avian influenza H5N1 outbreak in Thailand: The role of duck farming, sequential model fitting and control.

Renata Retkute, Chris P Jewell, Thomas P Van Boeckel, Geli Zhang, Xiangming Xiao, Weerapong Thanapongtharm, Matt Keeling, Marius Gilbert, Michael J Tildesley

Abstract read
In one paragraph

Article in Preventive veterinary medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

9 authors.

Renata RetkuteSchool of Life Sciences and Institute of Mathematics, University of Warwick, UK. Electronic address: r.retkute@warwick.ac.uk.
Chris P JewellFaculty of Health and Medicine, Furness College, Lancaster University, UK.
Thomas P Van BoeckelETH Zurich, Institute for Integrative Biology, Switzerland.
Geli ZhangCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.
Xiangming XiaoCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.
Weerapong ThanapongtharmDepartment of Livestock Development, Bangkok, Thailand.
Matt KeelingSchool of Life Sciences and Institute of Mathematics, University of Warwick, UK.
Marius GilbertBiological Control and Spatial Ecology Universite Libre de Bruxelles, Belgium.
Michael J TildesleySchool of Life Sciences and Institute of Mathematics, University of Warwick, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/K010972/4
6 · The paper itself

Abstract

The Highly Pathogenic Avian Influenza (HPAI) subtype H5N1 virus persists in many countries and has been circulating in poultry, wild birds. In addition, the virus has emerged in other species and frequent zoonotic spillover events indicate that there remains a significant risk to human health. It is crucial to understand the dynamics of the disease in the poultry industry to develop a more comprehensive knowledge of the risks of transmission and to establish a better distribution of resources when implementing control. In this paper, we develop a set of mathematical models that simulate the spread of HPAI H5N1 in the poultry industry in Thailand, utilising data from the 2004 epidemic. The model that incorporates the intensity of duck farming when assessing transmision risk provides the best fit to the spatiotemporal characteristics of the observed outbreak, implying that intensive duck farming drives transmission of HPAI in Thailand. We also extend our models using a sequential model fitting approach to explore the ability of the models to be used in "real time" during novel disease outbreaks. We conclude that, whilst predictions of epidemic size are estimated poorly in the early stages of disease outbreaks, the model can infer the preferred control policy that should be deployed to minimise the impact of the disease.

Indexed as

DucksAnimal HusbandryAnimalsDisease OutbreaksInfluenza A Virus, H5N1 SubtypeInfluenza in BirdsModels, TheoreticalPoultry DiseasesRisk FactorsThailandAvian influenzaDisease controlSpatial heterogeneityVaccination

Identifiers

PMID30314780
PMCPMC6193140

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.