Literature DB >> 23427646

Ontology for vector surveillance and management.

Saul Lozano-Fuentes1, Aritra Bandyopadhyay, Lindsay G Cowell, Albert Goldfain, Lars Eisen.   

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.

Entities:  

Mesh:

Year:  2013        PMID: 23427646      PMCID: PMC3695545          DOI: 10.1603/me12169

Source DB:  PubMed          Journal:  J Med Entomol        ISSN: 0022-2585            Impact factor:   2.278


  47 in total

1.  Vector competence of Culex neavei (Diptera: Culicidae) for Usutu virus.

Authors:  Birgit Nikolay; Mawlouth Diallo; Ousmane Faye; Cheikh S Boye; Amadou A Sall
Journal:  Am J Trop Med Hyg       Date:  2012-06       Impact factor: 2.345

Review 2.  Ontologies for biologists: a community model for the annotation of genomic data.

Authors:  M Ashburner; C J Mungall; S E Lewis
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2003

3.  OBO-Edit--an ontology editor for biologists.

Authors:  John Day-Richter; Midori A Harris; Melissa Haendel; Suzanna Lewis
Journal:  Bioinformatics       Date:  2007-06-01       Impact factor: 6.937

4.  Ontology driven modeling for the knowledge of genetic susceptibility to disease.

Authors:  Yu Lin; Norihiro Sakamoto
Journal:  Kobe J Med Sci       Date:  2009-04-30

5.  The ecology of chigger-borne rickettsiosis (scrub typhus).

Authors:  R Traub; C L Wisseman
Journal:  J Med Entomol       Date:  1974-07-15       Impact factor: 2.278

Review 6.  Kyasanur forest disease: an epidemiological view in India.

Authors:  Priyabrata Pattnaik
Journal:  Rev Med Virol       Date:  2006 May-Jun       Impact factor: 6.989

Review 7.  Venezuelan equine encephalitis.

Authors:  Scott C Weaver; Cristina Ferro; Roberto Barrera; Jorge Boshell; Juan-Carlos Navarro
Journal:  Annu Rev Entomol       Date:  2004       Impact factor: 19.686

8.  Vector competence of Australian mosquito species for a North American strain of West Nile virus.

Authors:  Cassie C Jansen; Cameron E Webb; Judith A Northill; Scott A Ritchie; Richard C Russell; Andrew F Van den Hurk
Journal:  Vector Borne Zoonotic Dis       Date:  2008-12       Impact factor: 2.133

Review 9.  Vectors vs. humans in Australia--who is on top down under? An update on vector-borne disease and research on vectors in Australia.

Authors:  R C Russell
Journal:  J Vector Ecol       Date:  1998-06       Impact factor: 1.671

10.  The Ontology Lookup Service, a lightweight cross-platform tool for controlled vocabulary queries.

Authors:  Richard G Côté; Philip Jones; Rolf Apweiler; Henning Hermjakob
Journal:  BMC Bioinformatics       Date:  2006-02-28       Impact factor: 3.169

View more
  4 in total

1.  Design and evaluation of a bacterial clinical infectious diseases ontology.

Authors:  Claire L Gordon; Stephanie Pouch; Lindsay G Cowell; Mary Regina Boland; Heather L Platt; Albert Goldfain; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

2.  Describing the breakbone fever: IDODEN, an ontology for dengue fever.

Authors:  Elvira Mitraka; Pantelis Topalis; Vicky Dritsou; Emmanuel Dialynas; Christos Louis
Journal:  PLoS Negl Trop Dis       Date:  2015-02-03

3.  IDOMAL: the malaria ontology revisited.

Authors:  Pantelis Topalis; Elvira Mitraka; Vicky Dritsou; Emmanuel Dialynas; Christos Louis
Journal:  J Biomed Semantics       Date:  2013-09-13

4.  A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability.

Authors:  Mohammad Sadnan Al Manir; Jon Haël Brenas; Christopher Jo Baker; Arash Shaban-Nejad
Journal:  JMIR Public Health Surveill       Date:  2018-06-15
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.