Evidence map›Paper›PMID 28298880›Full record

ArticleStochastic environmental research and risk assessment : research journal2017

H7N9 and H5N1 avian influenza suitability models for China: accounting for new poultry and live-poultry markets distribution data.

Jean Artois, Shengjie Lai, Luzhao Feng, Hui Jiang, Hang Zhou, Xiangping Li, Madhur S Dhingra, Catherine Linard, Gaëlle Nicolas, Xiangming Xiao and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Stochastic environmental research and risk assessment : research journal, 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
7.8field-weighted citation impact, top 3% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  3. Spatiotemporal Variation and Hotspot Detection of the Avian Influenza A(H7N9) Virus in China, 2013⁻2017.International journal of environmental research and public health · 2019
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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

13 authors at 5 institutions in 7 countries.

Jean Artois *Spatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Shengjie Lai *Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206 China.
Luzhao FengDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206 China.
Hui JiangDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206 China.
Hang ZhouDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206 China.
Xiangping LiInstitute of Biodiversity Science, Fudan University, Shanghai, 200433 China.
Madhur S DhingraSpatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Catherine LinardSpatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Gaëlle NicolasSpatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Xiangming XiaoDepartment of Microbiology and Plant Biology, Center for Spatial AnalysisUniversity of Oklahoma, 101 David L. Boren Blvd, Norman, OK 73019 USA.
Timothy P RobinsonLivestock Systems and Environment (LSE), International Livestock Research Institute (ILRI), Nairobi, Kenya.
Hongjie YuKey Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032 China.
Marius GilbertSpatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium.ORCID 0000-0003-3708-3359
Université Libre de Bruxelles · BEChinese Center For Disease Control and Prevention · CNFudan University · CNInternational Livestock Research Institute · KEUniversity of Oklahoma · US

Funding

Transmission dynamics and spillover of avian influenza under changing agriculturaR01AI101028 · NIAID · UNIVERSITY OF OKLAHOMA · PI XIAO, XIANGMING · 2013 to 2016
$1.9M
NIAID NIH HHS R01 AI101028
6 · The paper itself

Abstract

In the last two decades, two important avian influenza viruses infecting humans emerged in China, the highly pathogenic avian influenza (HPAI) H5N1 virus in the late nineties, and the low pathogenic avian influenza (LPAI) H7N9 virus in 2013. China is home to the largest population of chickens (4.83 billion) and ducks (0.694 billion), representing, respectively 23.1 and 58.6% of the 2013 world stock, with a significant part of poultry sold through live-poultry markets potentially contributing to the spread of avian influenza viruses. Previous models have looked at factors associated with HPAI H5N1 in poultry and LPAI H7N9 in markets. However, these have not been studied and compared with a consistent set of predictor variables. Significant progress was recently made in the collection of poultry census and live-poultry market data, which are key potential factors in the distribution of both diseases. Here we compiled and reprocessed a new set of poultry census data and used these to analyse HPAI H5N1 and LPAI H7N9 distributions with boosted regression trees models. We found a limited impact of the improved poultry layers compared to models based on previous poultry census data, and a positive and previously unreported association between HPAI H5N1 outbreaks and the density of live-poultry markets. In addition, the models fitted for the HPAI H5N1 and LPAI H7N9 viruses predict a high risk of disease presence for the area around Shanghai and Hong Kong. The main difference in prediction between the two viruses concerned the suitability of HPAI H5N1 in north-China around the Yellow sea (outlined with Tianjin, Beijing, and Shenyang city) where LPAI H7N9 has not spread intensely.

Indexed as

Avian influenzaHPAI H5N1LPAI H7N9Poultry dataSpatial epidemiology

Identifiers

PMID28298880
PMCPMC5329093
OpenAlexW2560667621

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.