Literature DB >> 34868401

An Overview of Biomedical Ontologies for Pandemics and Infectious Diseases Representation.

Leila Bayoudhi1, Najla Sassi1,2, Wassim Jaziri1,2.   

Abstract

Several infectious diseases and pandemics have so far emerged. Pandemics are by nature rapidly evolving. In this context, COVID-19 cases, seen recently in a growing number of countries around the world, have been increasing exponentially. So, researchers and responsible actors should take quick decisions to mitigate the spread of such diseases. To do so, several computer science solutions, including ontologies, have been proposed to cope with these issues and save humanity. The ontology is the key formalism which allows modelling knowledge along with its semantics in a formal way. Indeed, the ontology provides unambiguous definitions of a discourse's domain terms in a machine understandable way. Particularly, biomedical ontologies have ever been developed to capture and represent pandemics and infectious diseases. In this context, this paper aims to scrutinize and study these state-of-the-art ontologies.
© 2021 The Author(s). Published by Elsevier B.V.

Entities:  

Keywords:  Biomedical; Infectious diseases; Ontology; Pandemics; Representation

Year:  2021        PMID: 34868401      PMCID: PMC8629358          DOI: 10.1016/j.procs.2021.09.201

Source DB:  PubMed          Journal:  Procedia Comput Sci


  23 in total

1.  IDOMEN: An Extension of Infectious Disease Ontology for MENingitis.

Authors:  W R Cédric Béré; Gaoussou Camara; Sadouanouan Malo; Moussa Lo; Stanislas Ouaro
Journal:  Stud Health Technol Inform       Date:  2019-08-21

2.  Design of schistosomiasis ontology (IDOSCHISTO) extending the infectious disease ontology.

Authors:  Gaoussou Camara; Sylvie Despres; Rim Djedidi; Moussa Lo
Journal:  Stud Health Technol Inform       Date:  2013

3.  IDOMAL: an ontology for malaria.

Authors:  Pantelis Topalis; Elvira Mitraka; Ioana Bujila; Elena Deligianni; Emmanuel Dialynas; Inga Siden-Kiamos; Marita Troye-Blomberg; Christos Louis
Journal:  Malar J       Date:  2010-08-10       Impact factor: 2.979

4.  The NCBI Taxonomy database.

Authors:  Scott Federhen
Journal:  Nucleic Acids Res       Date:  2011-12-01       Impact factor: 16.971

5.  Ontological modeling and analysis of experimentally or clinically verified drugs against coronavirus infection.

Authors:  Yingtong Liu; Junguk Hur; Wallace K B Chan; Zhigang Wang; Jiangan Xie; Duxin Sun; Samuel Handelman; Jonathan Sexton; Hong Yu; Yongqun He
Journal:  Sci Data       Date:  2021-01-13       Impact factor: 6.444

6.  The COVID-19 Ontology.

Authors:  Astghik Sargsyan; Alpha Tom Kodamullil; Shounak Baksi; Johannes Darms; Sumit Madan; Stephan Gebel; Oliver Keminer; Geena Mariya Jose; Helena Balabin; Lauren Nicole DeLong; Manfred Kohler; Marc Jacobs; Martin Hofmann-Apitius
Journal:  Bioinformatics       Date:  2020-12-21       Impact factor: 6.937

7.  The Ontology for Biomedical Investigations.

Authors:  Anita Bandrowski; Ryan Brinkman; Mathias Brochhausen; Matthew H Brush; Bill Bug; Marcus C Chibucos; Kevin Clancy; Mélanie Courtot; Dirk Derom; Michel Dumontier; Liju Fan; Jennifer Fostel; Gilberto Fragoso; Frank Gibson; Alejandra Gonzalez-Beltran; Melissa A Haendel; Yongqun He; Mervi Heiskanen; Tina Hernandez-Boussard; Mark Jensen; Yu Lin; Allyson L Lister; Phillip Lord; James Malone; Elisabetta Manduchi; Monnie McGee; Norman Morrison; James A Overton; Helen Parkinson; Bjoern Peters; Philippe Rocca-Serra; Alan Ruttenberg; Susanna-Assunta Sansone; Richard H Scheuermann; Daniel Schober; Barry Smith; Larisa N Soldatova; Christian J Stoeckert; Chris F Taylor; Carlo Torniai; Jessica A Turner; Randi Vita; Patricia L Whetzel; Jie Zheng
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

8.  CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.

Authors:  Yongqun He; Hong Yu; Edison Ong; Yang Wang; Yingtong Liu; Anthony Huffman; Hsin-Hui Huang; John Beverley; Junguk Hur; Xiaolin Yang; Luonan Chen; Gilbert S Omenn; Brian Athey; Barry Smith
Journal:  Sci Data       Date:  2020-06-12       Impact factor: 6.444

9.  A multilingual ontology for infectious disease surveillance: rationale, design and challenges.

Authors:  Nigel Collier; Ai Kawazoe; Lihua Jin; Mika Shigematsu; Dinh Dien; Roberto A Barrero; Koichi Takeuchi; Asanee Kawtrakul
Journal:  Lang Resour Eval       Date:  2007-06-26       Impact factor: 1.358

Review 10.  Comparative Review of SARS-CoV-2, SARS-CoV, MERS-CoV, and Influenza A Respiratory Viruses.

Authors:  Zeinab Abdelrahman; Mengyuan Li; Xiaosheng Wang
Journal:  Front Immunol       Date:  2020-09-11       Impact factor: 7.561

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