Evidence map›Paper›PMID 29312966›Full record

ArticleFrontiers in veterinary science2017

Could Changes in the Agricultural Landscape of Northeastern China Have Influenced the Long-Distance Transmission of Highly Pathogenic Avian Influenza H5Nx Viruses?

Marius Gilbert, Diann J Prosser, Geli Zhang, Jean Artois, Madhur S Dhingra, Michael Tildesley, Scott H Newman, Fusheng Guo, Peter Black, Filip Claes and 6 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Editorial: Epidemiology of Avian Influenza Viruses.Frontiers in veterinary science · 2019
    Article
  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

16 authors.

Marius GilbertSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Diann J ProsserPatuxent Wildlife Research Center, United States Geological Survey, Beltsville, MD, United States.
Geli ZhangDepartment of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, United States.
Jean ArtoisSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Madhur S DhingraSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Michael TildesleySchool of Life Sciences, University of Warwick, Warwick, United Kingdom.
Scott H NewmanFood and Agriculture Organization of the United Nations, Addis Ababa, Ethiopia.
Fusheng GuoRegional Office for Asia and the Pacific, Food and Agriculture Organization of the United Nations, Bangkok, Thailand.
Peter BlackRegional Office for Asia and the Pacific, Food and Agriculture Organization of the United Nations, Bangkok, Thailand.
Filip ClaesRegional Office for Asia and the Pacific, Food and Agriculture Organization of the United Nations, Bangkok, Thailand.
Wantanee KalpradvidhRegional Office for Asia and the Pacific, Food and Agriculture Organization of the United Nations, Bangkok, Thailand.
YeunKyung ShinRegional Office for Asia and the Pacific, Food and Agriculture Organization of the United Nations, Bangkok, Thailand.
Wooseog JeongAnimal and Plant Quarantine Agency, Ministry of Agriculture, Food and Rural Affairs, Gimcheon, South Korea.
John Y TakekawaSan Francisco Bay Estuary Field Station, Western Ecological Research Center, United States Geological Survey, Vallejo, CA, United States.
Hansoo LeeKorea Institute of Environmental Ecology, Daejeon, South Korea.
Xiangming XiaoDepartment of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, United States.

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 few years, several reassortant subtypes of highly pathogenic avian influenza viruses (HPAI H5Nx) have emerged in East Asia. These new viruses, mostly of subtype H5N1, H5N2, H5N6, and H5N8 belonging to clade 2.3.4.4, have been found in several Asian countries and have caused outbreaks in poultry in China, South Korea, and Vietnam. HPAI H5Nx also have spread over considerable distances with the introduction of viruses belonging to the same 2.3.4.4 clade in the U.S. (2014-2015) and in Europe (2014-2015 and 2016-2017). In this paper, we examine the emergence and spread of these new viruses in Asia in relation to published datasets on HPAI H5Nx distribution, movement of migratory waterfowl, avian influenza risk models, and land-use change analyses. More specifically, we show that between 2000 and 2015, vast areas of northeast China have been newly planted with rice paddy fields (3.21 million ha in Heilongjiang, Jilin, and Liaoning) in areas connected to other parts of Asia through migratory pathways of wild waterfowl. We hypothesize that recent land use changes in northeast China have affected the spatial distribution of wild waterfowl, their stopover areas, and the wild-domestic interface, thereby altering transmission dynamics of avian influenza viruses across flyways. Detailed studies of the habitat use by wild migratory birds, of the extent of the wild-domestic interface, and of the circulation of avian influenza viruses in those new planted areas may help to shed more light on this hypothesis, and on the possible impact of those changes on the long-distance patterns of avian influenza transmission.

Indexed as

agriculture and public healthavian influenzadisease ecologyland use changespatial epidemiology

Identifiers

PMID29312966
PMCPMC5742135

What OpenQuestion holds

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Registered trials

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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.