Evidence map›Paper›PMID 26581408›Full record

ArticleDatabase : the journal of biological databases and curation2015

ERAIZDA: a model for holistic annotation of animal infectious and zoonotic diseases.

Teresia M Buza, Sherman W Jack, Halid Kirunda, Margaret L Khaitsa, Mark L Lawrence, Stephen Pruett, Daniel G Peterson

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Teresia M BuzaDepartment of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762 USA, Institute for Genomics, Biocomputing & Biotechnology (IGBB), Mississippi State University, Mississippi State, MS 39762 USA, tbuza@igbb.msstate.edu.
Sherman W JackDepartment of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762 USA and.
Halid KirundaNational Livestock Resources Research Institute (NaLIRRI), Tororo, Uganda.
Margaret L KhaitsaDepartment of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762 USA and.
Mark L LawrenceDepartment of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762 USA.
Stephen PruettDepartment of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762 USA.
Daniel G PetersonInstitute for Genomics, Biocomputing & Biotechnology (IGBB), Mississippi State University, Mississippi State, MS 39762 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an urgent need for a unified resource that integrates trans-disciplinary annotations of emerging and reemerging animal infectious and zoonotic diseases. Such data integration will provide wonderful opportunity for epidemiologists, researchers and health policy makers to make data-driven decisions designed to improve animal health. Integrating emerging and reemerging animal infectious and zoonotic disease data from a large variety of sources into a unified open-access resource provides more plausible arguments to achieve better understanding of infectious and zoonotic diseases. We have developed a model for interlinking annotations of these diseases. These diseases are of particular interest because of the threats they pose to animal health, human health and global health security. We demonstrated the application of this model using brucellosis, an infectious and zoonotic disease. Preliminary annotations were deposited into VetBioBase database (http://vetbiobase.igbb.msstate.edu). This database is associated with user-friendly tools to facilitate searching, retrieving and downloading of disease-related information. Database URL: http://vetbiobase.igbb.msstate.edu.

Indexed as

Molecular Sequence AnnotationSoftwareAnimalsBiomarkersBrucellosisCommunicable DiseasesDatabases as TopicSearch EngineZoonosesBiomarkers

Identifiers

PMID26581408
PMCPMC4651161

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.