Evidence map›Paper›PMID 30963915›Full record

ArticleProceedings. Biological sciences2018

Macroecology of birds potentially susceptible to West Nile virus.

María J Tolsá, Gabriel E García-Peña, Oscar Rico-Chávez, Benjamin Roche, Gerardo Suzán

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Wildlife susceptibility to infectious diseases at global scales.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. West Nile Virus in Common Wild Avian Species in Israel.Pathogens (Basel, Switzerland) · 2022
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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

5 authors.

María J Tolsá1 Posgrado en Ciencias Biológicas, Universidad Nacional Autónoma de México; Av. Ciudad Universitaria 3000 , CP 04510 Coyoacán, Distrito Federal , México.
Gabriel E García-Peña2 Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria Zootecnia, Universidad Nacional Autónoma de México; Av. Ciudad Universitaria 3000 , CP 04510 Coyoacán, Distrito Federal , México.
Oscar Rico-Chávez2 Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria Zootecnia, Universidad Nacional Autónoma de México; Av. Ciudad Universitaria 3000 , CP 04510 Coyoacán, Distrito Federal , México.
Benjamin Roche2 Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria Zootecnia, Universidad Nacional Autónoma de México; Av. Ciudad Universitaria 3000 , CP 04510 Coyoacán, Distrito Federal , México.
Gerardo Suzán2 Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria Zootecnia, Universidad Nacional Autónoma de México; Av. Ciudad Universitaria 3000 , CP 04510 Coyoacán, Distrito Federal , México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic diseases transmitted by wildlife affect biological conservation, public and animal health, and the economy. Current research efforts are aimed at finding wildlife pathogens at a given location. However, a meta-analytical approach may reveal emerging macroecological patterns in the host-pathogen relationship at different temporal and spatial scales. West Nile virus (WNV) is a pathogen with worldwide detrimental impacts on bird populations. To understand macroecological patterns driving WNV infection, we aimed to recognize unknown competent reservoirs using three disease metrics-serological prevalence (SP), molecular prevalence (MP) and mortality (M)-and test if these metrics are correlated with the evolutionary history, geographical origin of bird species, viral strain, time-space and methodology. We performed a quantitative review of field studies on birds sampled for WNV. We obtained 4945 observations of 949 species from 39 countries. Our analysis supported the idea that MP and M are good predictors of reservoir competence, and allowed us to identify potential competent reservoirs. Furthermore, results indicated that the variability of these metrics was attributable to phylogeny, time-space and sample size. A macroecological approach is needed to recognize susceptible species and competent reservoirs, and to identify other factors driving zoonotic diseases originating from wildlife.

Indexed as

BirdsAnimalsBird DiseasesDisease ReservoirsDisease SusceptibilityPrevalenceSeroepidemiologic StudiesWest Nile FeverWest Nile virusZoonosesbirdsmacroecologyreservoir competence indexsusceptibilityWest Nile Virus

Identifiers

PMID30963915
PMCPMC6304048

What OpenQuestion holds

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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.