Evidence map›Paper›PMID 23427646›Full record

ArticleJournal of medical entomology2013

Ontology for vector surveillance and management.

Saul Lozano-Fuentes, Aritra Bandyopadhyay, Lindsay G Cowell, Albert Goldfain, Lars Eisen

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical entomology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 33% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. IDOMAL: the malaria ontology revisited.Journal of biomedical semantics · 2013
    Article
  5. Design and evaluation of a bacterial clinical infectious diseases ontology.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
    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

5 authors at 1 institution in 1 country.

Saul Lozano-FuentesDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO 80523, USA.
Aritra Bandyopadhyay
Lindsay G Cowell
Albert Goldfain
Lars Eisen
Colorado State University · US

Funding

Immune System Biological Networks:Case Study Improved Data Integration & AnalysisR01AI077706 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI COWELL, LINDSAY G. · 2008 to 2011
$1.7M
Vector Surveillance Ontology and Vector Management OntologyR03AI083254 · NIAID · COLORADO STATE UNIVERSITY · PI EISEN, LARS, LOZANO FUENTES, SAUL · 2009 to 2010
$147k
NIAID NIH HHS 1R03AI083254NIAID NIH HHS 1R03AI083254-01NIAID NIH HHS R01 AI077706NIAID NIH HHS R03 AI083254
6 · The paper itself

Abstract

Ontologies, which are made up by standardized and defined controlled vocabulary terms and their interrelationships, are comprehensive and readily searchable repositories for knowledge in a given domain. The Open Biomedical Ontologies (OBO) Foundry was initiated in 2001 with the aims of becoming an "umbrella" for life-science ontologies and promoting the use of ontology development best practices. A software application (OBO-Edit; *.obo file format) was developed to facilitate ontology development and editing. The OBO Foundry now comprises over 100 ontologies and candidate ontologies, including the NCBI organismal classification ontology (NCBITaxon), the Mosquito Insecticide Resistance Ontology (MIRO), the Infectious Disease Ontology (IDO), the IDOMAL malaria ontology, and ontologies for mosquito gross anatomy and tick gross anatomy. We previously developed a disease data management system for dengue and malaria control programs, which incorporated a set of information trees built upon ontological principles, including a "term tree" to promote the use of standardized terms. In the course of doing so, we realized that there were substantial gaps in existing ontologies with regards to concepts, processes, and, especially, physical entities (e.g., vector species, pathogen species, and vector surveillance and management equipment) in the domain of surveillance and management of vectors and vector-borne pathogens. We therefore produced an ontology for vector surveillance and management, focusing on arthropod vectors and vector-borne pathogens with relevance to humans or domestic animals, and with special emphasis on content to support operational activities through inclusion in databases, data management systems, or decision support systems. The Vector Surveillance and Management Ontology (VSMO) includes >2,200 unique terms, of which the vast majority (>80%) were newly generated during the development of this ontology. One core feature of the VSMO is the linkage, through the has vector relation, of arthropod species to the pathogenic microorganisms for which they serve as biological vectors. We also recognized and addressed a potential roadblock for use of the VSMO by the vector-borne disease community: the difficulty in extracting information from OBO-Edit ontology files (*.obo files) and exporting the information to other file formats. A novel ontology explorer tool was developed to facilitate extraction and export of information from the VSMO*.obo file into lists of terms and their associated unique IDs in *.txt or *.csv file formats. These lists can then be imported into a database or data management system for use as select lists with predefined terms. This is an important step to ensure that the knowledge contained in our ontology can be put into practical use.

Indexed as

Arthropod VectorsPest ControlSoftwareTerminology as TopicAnimalsArthropodsDatabases as TopicDecision Support Techniques

Identifiers

PMID23427646
PMCPMC3695545
OpenAlexW2160307042

What OpenQuestion holds

Textmetadata
LicenceTDM
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.