ArticlePLoS neglected tropical diseases2015
Describing the breakbone fever: IDODEN, an ontology for dengue fever.
Article in PLoS neglected tropical diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Three-layered semantic framework for public health intelligence.Journal of biomedical semantics · 2025Article
- A fourfold pathogen reference ontology suite.Journal of biomedical semantics · 2025Article
- A Fourfold Pathogen Reference Ontology Suite.ArXiv · 2025Article
- An Ontology to Bridge the Clinical Management of Patients and Public Health Responses for Strengthening Infectious Disease Surveillance: Design Science Study.JMIR formative research · 2024Article
- The Representation of Causality and Causation with Ontologies: A Systematic Literature Review.Online journal of public health informatics · 2022Review
- The Infectious Disease Ontology in the age of COVID-19.Journal of biomedical semantics · 2021Article
- An Overview of Biomedical Ontologies for Pandemics and Infectious Diseases Representation.Procedia computer science · 2021Article
- EAPB: entropy-aware path-based metric for ontology quality.Journal of biomedical semantics · 2018Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundOntologies represent powerful tools in information technology because they enhance interoperability and facilitate, among other things, the construction of optimized search engines. To address the need to expand the toolbox available for the control and prevention of vector-borne diseases we embarked on the construction of specific ontologies. We present here IDODEN, an ontology that describes dengue fever, one of the globally most important diseases that are transmitted by mosquitoes. METHODOLOGY/PRINCIPAL
findingsWe constructed IDODEN using open source software, and modeled it on IDOMAL, the malaria ontology developed previously. IDODEN covers all aspects of dengue fever, such as disease biology, epidemiology and clinical features. Moreover, it covers all facets of dengue entomology. IDODEN, which is freely available, can now be used for the annotation of dengue-related data and, in addition to its use for modeling, it can be utilized for the construction of other dedicated IT tools such as decision support systems. CONCLUSIONS/SIGNIFICANCE: The availability of the dengue ontology will enable databases hosting dengue-associated data and decision-support systems for that disease to perform most efficiently and to link their own data to those stored in other independent repositories, in an architecture- and software-independent manner.
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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.