Evidence map›Paper›PMID 31395085›Full record

ArticleParasites & vectors2019

Predicting West Nile virus transmission in North American bird communities using phylogenetic mixed effects models and eBird citizen science data.

Morgan P Kain, Benjamin M Bolker

Abstract read
In one paragraph

Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Paradigm Shift Toward "One Health" Monitoring ofOpen forum infectious diseases · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. The COVID-19 pandemic: Virus transmission and risk assessment.Current opinion in environmental science & health · 2022
    Review
  13. Article
  14. A meteorological-based forecasting model for predicting minimal infection rates inCanada communicable disease report = Releve des maladies transmissibles au Canada · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Epidemiology of human West Nile virus infections in the European Union and European Union enlargement countries, 2010 to 2018.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Article
  20. 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

2 authors.

Morgan P KainDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada. morganpkain@gmail.com.ORCID http://orcid.org/0000-0003-0605-7289
Benjamin M BolkerDepartment of Biology, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada 386590-2010
6 · The paper itself

Abstract

backgroundWest Nile virus (WNV) is a mosquito-transmitted disease of birds that has caused bird population declines and can spill over into human populations. Previous research has identified bird species that infect a large fraction of the total pool of infected mosquitoes and correlate with human infection risk; however, these analyses cover small spatial regions and cannot be used to predict transmission in bird communities in which these species are rare or absent. Here we present a mechanistic model for WNV transmission that predicts WNV spread (R

resultsWe focused our analysis on Texas, USA, because it is among the states with the highest total incidence of WNV in humans and is well sampled by birders in the eBird database. Spatio-temporal patterns: WNV transmission is primarily driven by temperature variation across time and space, and secondarily by bird community composition. In Texas, we predicted WNV R

conclusionsDespite some data limitations, we demonstrate the power of phylogenetic imputation in predicting disease transmission in heterogeneous host communities. Our mechanistic modeling framework shows promise both for assisting future analyses on transmission and spillover in heterogeneous multispecies pathogen systems and for improving model transparency by clarifying assumptions, choices and shortcomings in complex ecological analyses.

Indexed as

Citizen ScienceModels, BiologicalAnimalsBird DiseasesBirdsCulicidaeNorth AmericaPhylogenySeasonsTexasWest Nile FeverWest Nile virusAmerican robinDilution effectFlavivirusMultiple imputationPhylogenetic analysisZoonotic spillover

Identifiers

PMID31395085
PMCPMC6686473

What OpenQuestion holds

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LicenceCC BY
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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.