Evidence map›Paper›PMID 33955689›Full record

ArticleZoonoses and public health2021

The ecological niche of reported rabies cases in Canada is similar to Alaska.

Falk Huettmann, Karsten Hueffer

Open access · hybridAbstract read
In one paragraph

Article in Zoonoses and public health, 2021. 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
0.9field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Review
  2. Zoonotic infections of the Canadian Arctic.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Review
  3. Modeling of Human Rabies Cases in Brazil in Different Future Global Warming Scenarios.International journal of environmental research and public health · 2024
    Article
  4. Review
  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

2 authors at 1 institution in 1 country.

Falk HuettmannEWHALE lab- Inst of Arctic Biology, Department of Biology & Wildlife, University of Alaska, Fairbanks, AK, USA.
Karsten HuefferDepartment of Veterinary Medicine, University of Alaska, Fairbanks, AK, USA.ORCID 0000-0001-7154-9066
University of Alaska Fairbanks · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ecology of rabies in the circumpolar North is still not well understood. We use machine learning, a geographic information system and data explicit in time and space obtained for reported rabies cases and predictors in Canada to develop an ecological niche model for the distribution of reported rabies cases in the American north (Alaska and Canada). The ecological niche model based on reported rabies cases in Canada predicted reported rabies cases in Alaska, suggesting a rather robust inference and even similar drivers on a continental scale. As found in Alaska, proximity to human infrastructure-specifically along the coast-was a strong predictor in the detection of rabies cases in Canada. Also, this finding highlights the need for a more systematic landscape sampling for rabies infection model predictions to better understand and tackle the ecology of this important zoonotic disease on a landscape scale at some distance from human infrastructure in wilderness areas.

Indexed as

Animals, WildLivestockModels, BiologicalPetsAlaskaAnimalsCanadaDemographyEcosystemGeographic Information SystemsHumansRabiesViral ZoonosesAlaskaCanadageographic information systemMachine LearningRabies

Identifiers

PMID33955689
PMCPMC8453923
OpenAlexW3157621562

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.