Evidence map›Paper›PMID 28508154›Full record

ArticleEcoHealth2017

Estimating Loss of Brucella Abortus Antibodies from Age-Specific Serological Data In Elk.

J A Benavides, D Caillaud, B M Scurlock, E J Maichak, W H Edwards, P C Cross

Open access · hybridAbstract read
In one paragraph

Article in EcoHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Winter feeding of elk in the Greater Yellowstone Ecosystem and its effects on disease dynamics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  6. Article
  7. 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

6 authors at 4 institutions in 1 country.

J A BenavidesDepartment of Ecology, Montana State University, 310 Lewis Hall, Bozeman, MT, 59717, USA. benavidesjulio@yahoo.fr.
D CaillaudThe Dian Fossey Gorilla Fund International, Atlanta, GA, USA.
B M ScurlockWyoming Game and Fish Department, Pinedale, WY, 82941, USA.
E J MaichakWyoming Game and Fish Department, Pinedale, WY, 82941, USA.
W H EdwardsWyoming Game and Fish Department, Laramie, WY, 82071, USA.
P C CrossU.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way Suite 2, Bozeman, MT, 59715, USA.
Wyoming Game and Fish Department · USMontana State University · USUnited States Geological Survey · USUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serological data are one of the primary sources of information for disease monitoring in wildlife. However, the duration of the seropositive status of exposed individuals is almost always unknown for many free-ranging host species. Directly estimating rates of antibody loss typically requires difficult longitudinal sampling of individuals following seroconversion. Instead, we propose a Bayesian statistical approach linking age and serological data to a mechanistic epidemiological model to infer brucellosis infection, the probability of antibody loss, and recovery rates of elk (Cervus canadensis) in the Greater Yellowstone Ecosystem. We found that seroprevalence declined above the age of ten, with no evidence of disease-induced mortality. The probability of antibody loss was estimated to be 0.70 per year after a five-year period of seropositivity and the basic reproduction number for brucellosis to 2.13. Our results suggest that individuals are unlikely to become re-infected because models with this mechanism were unable to reproduce a significant decline in seroprevalence in older individuals. This study highlights the possible implications of antibody loss, which could bias our estimation of critical epidemiological parameters for wildlife disease management based on serological data.

Indexed as

Seroepidemiologic StudiesAnimalsAntibodies, BacterialBayes TheoremBrucellaBrucella abortusBrucellosisDeerAntibodies, BacterialAntibody lossApproximate Bayesian computationBasic reproduction numberBrucellosisGreater Yellowstone EcosystemSerology

Identifiers

PMID28508154
PMCPMC5486471
OpenAlexW2616635973

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.