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Vaccine and drug ontology in the study of mechanism and effect (VDOS 2017)

Edited by Cui Tao & Yongqun He

Vaccines and drugs have contributed to dramatic improvements in public health worldwide. There have been efforts from various areas in the biomedical ontology community that extend existing health and clinical terminology systems (e.g., SNOMED, RxNorm, NDF-RT, and MedDRA), vernacular medical terminologies, and their applications to research and clinical data associated with vaccines and drugs. This collections of papers focusing on innovative solutions and challenges in the development and applications of biomedical ontologies to represent and analyze vaccines and drugs, their administration, immune responses induced, adverse events, and similar topics.

View all collections published in Journal of Biomedical Semantics.

  1. In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformation is one of the drivers leading to vaccine hesitancy in patients. While...

    Authors: Muhammad Amith and Cui Tao
    Citation: Journal of Biomedical Semantics 2018 9:22
  2. Vaccine has been one of the most successful public health interventions to date. However, vaccines are pharmaceutical products that carry risks so that many adverse events (AEs) are reported after receiving va...

    Authors: Junxiang Wang, Liang Zhao, Yanfang Ye and Yuji Zhang
    Citation: Journal of Biomedical Semantics 2018 9:19
  3. Adverse drug reactions (ADRs), also called as drug adverse events (AEs), are reported in the FDA drug labels; however, it is a big challenge to properly retrieve and analyze the ADRs and their potential relati...

    Authors: Junguk Hur, Arzucan Ă–zgĂĽr and Yongqun He
    Citation: Journal of Biomedical Semantics 2018 9:17
  4. Prompted by the frequency of concomitant use of prescription drugs with natural products, and the lack of knowledge regarding the impact of pharmacokinetic-based natural product-drug interactions (PK-NPDIs), t...

    Authors: John Judkins, Jessica Tay-Sontheimer, Richard D. Boyce and Mathias Brochhausen
    Citation: Journal of Biomedical Semantics 2018 9:15

Annual Journal Metrics

  • 2022 Citation Impact
    1.9 - 2-year Impact Factor
    2.6 - 5-year Impact Factor
    0.870 - SNIP (Source Normalized Impact per Paper)
    0.697 - SJR (SCImago Journal Rank)

    2023 Speed
    23 days submission to first editorial decision for all manuscripts (Median)
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