Evidence map›Paper›PMID 31641451›Full record

ArticleEcology and evolution2019

Feline immunodeficiency virus in puma: Estimation of force of infection reveals insights into transmission.

Jennifer J H Reynolds, Scott Carver, Mark W Cunningham, Ken A Logan, Winston Vickers, Kevin R Crooks, Sue VandeWoude, Meggan E Craft

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 6 institutions in 2 countries.

Jennifer J H ReynoldsDepartment of Veterinary Population Medicine University of Minnesota St Paul MN USA.ORCID https://orcid.org/0000-0002-4743-6210
Scott CarverSchool of Biological Sciences University of Tasmania Hobart Tas. Australia.
Mark W CunninghamFlorida Fish and Wildlife Conservation Commission Gainesville FL USA.
Ken A LoganColorado Parks and Wildlife Montrose CO USA.
Winston VickersWildlife Health Center University of California Davis Davis CA USA.
Kevin R CrooksDepartment of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins CO USA.
Sue VandeWoudeDepartment of Microbiology, Immunology, and Pathology Colorado State University Fort Collins CO USA.
Meggan E CraftDepartment of Veterinary Population Medicine University of Minnesota St Paul MN USA.ORCID https://orcid.org/0000-0001-5333-8513
Colorado State University · USUniversity of Minnesota · USColorado Parks and Wildlife · USFlorida Fish and Wildlife Conservation Commission · USUniversity of California, Davis · USUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining parameters that govern pathogen transmission (such as the force of infection, FOI), and pathogen impacts on morbidity and mortality, is exceptionally challenging for wildlife. Vital parameters can vary, for example across host populations, between sexes and within an individual's lifetime.Feline immunodeficiency virus (FIV) is a lentivirus affecting domestic and wild cat species, forming species-specific viral-host associations. FIV infection is common in populations of puma (

Indexed as

age‐prevalence datacougardisease‐induced mortalityfeline immunodeficiency virusforce of infection modelingpathogen transmissionpuma

Identifiers

PMID31641451
PMCPMC6802039
OpenAlexW2976814245

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.