Evidence map›Paper›PMID 31632645›Full record

ArticleEcology and evolution2019

Detection error influences both temporal seroprevalence predictions and risk factors associations in wildlife disease models.

Michael A Tabak, Kerri Pedersen, Ryan S Miller

Open access · goldAbstract read
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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, 11 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Michael A TabakCenter for Epidemiology and Animal Health United States Department of Agriculture Fort Collins Colorado.ORCID https://orcid.org/0000-0002-2986-7885
Kerri PedersenWildlife Services United States Department of Agriculture Raleigh North Carolina.
Ryan S MillerCenter for Epidemiology and Animal Health United States Department of Agriculture Fort Collins Colorado.ORCID https://orcid.org/0000-0003-3892-0251
United States Department of Agriculture · USAnimal and Plant Health Inspection Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the prevalence of pathogens in invasive species is essential to guide efforts to prevent transmission to agricultural animals, wildlife, and humans. Pathogen prevalence can be difficult to estimate for wild species due to imperfect sampling and testing (pathogens may not be detected in infected individuals and erroneously detected in individuals that are not infected). The invasive wild pig (

Indexed as

detection probabilityhierarchical Bayesian modelopportunistic samplingpathogenprevalencesensitivityspecificitywildlife

Identifiers

PMID31632645
PMCPMC6787870
OpenAlexW2971269335

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.