Evidence map›Paper›PMID 35981006›Full record

ArticlePLoS computational biology2022

Habitat loss exacerbates pathogen spread: An Agent-based model of avian influenza infection in migratory waterfowl.

Shenglai Yin, Yanjie Xu, Mingshuai Xu, Mart C M de Jong, Mees R S Huisman, Andrea Contina, Herbert H T Prins, Zheng Y X Huang, Willem F de Boer

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Landscape changes elevate the risk of avian influenza virus diversification and emergence in the East Asian-Australasian Flyway.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    Article
  6. Article
  7. Article
  8. 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.

Shenglai YinCollege of Life Science, Nanjing Normal University, Nanjing, China.ORCID 0000-0001-9889-9656
Yanjie XuWildlife Ecology and Conservation Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0003-4420-6353
Mingshuai XuCollege of Life Science, Nanjing Normal University, Nanjing, China.ORCID 0000-0002-8020-3187
Mart C M de JongQuantitative Veterinary Epidemiology Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0002-5339-1995
Mees R S HuismanWildlife Ecology and Conservation Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0003-1383-9879
Andrea ContinaDepartment of Integrative Biology, University of Texas at Austin, Austin, Texas, United States of America.ORCID 0000-0002-0484-6711
Herbert H T PrinsDepartment of Animal Sciences, Wageningen University, Wageningen, The Netherlands.
Zheng Y X HuangCollege of Life Science, Nanjing Normal University, Nanjing, China.
Willem F de BoerWildlife Ecology and Conservation Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0003-3208-8521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habitat availability determines the distribution of migratory waterfowl along their flyway, which further influences the transmission and spatial spread of avian influenza viruses (AIVs). The extensive habitat loss in the East Asian-Australasian Flyway (EAAF) may have potentially altered the virus spread and transmission, but those consequences are rarely studied. We constructed 6 fall migration networks that differed in their level of habitat loss, wherein an increase in habitat loss resulted in smaller networks with fewer sites and links. We integrated an agent-based model and a susceptible-infected-recovered model to simulate waterfowl migration and AIV transmission. We found that extensive habitat loss in the EAAF can 1) relocate the outbreaks northwards, responding to the distribution changes of wintering waterfowl geese, 2) increase the outbreak risk in remaining sites due to larger goose congregations, and 3) facilitate AIV transmission in the migratory population. In addition, our modeling output was in line with the predictions from the concept of "migratory escape", i.e., the migration allows the geese to "escape" from the location where infection risk is high, affecting the pattern of infection prevalence in the waterfowl population. Our modeling shed light on the potential consequences of habitat loss in spreading and transmitting AIV at the flyway scale and suggested the driving mechanisms behind these effects, indicating the importance of conservation in changing spatial and temporal patterns of AIV outbreaks.

Indexed as

Influenza A virusInfluenza in BirdsAnimal MigrationAnimalsEcosystemSeasons

Identifiers

PMID35981006
PMCPMC9426877

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.