ReviewCurrent opinion in virology2016
Vaccinology in the third millennium: scientific and social challenges.
Review in Current opinion in virology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Rational design of multi-epitope vaccine for Chandipura virus using an immunoinformatics approach.PloS one · 2025Article
- Bioinformatics analysis of structural protein to approach a vaccine candidate against Vibrio cholerae infection.Immunogenetics · 2023Article
- COVID-19 vaccination in healthcare workers: Long-term benefits and protection.Central-European journal of immunology · 2023Article
- Vaccines and Immunoinformatics for Vaccine Design.Advances in experimental medicine and biology · 2022Article
- New Computational Approach for Peptide Vaccine Design Against SARS-COV-2.International journal of peptide research and therapeutics · 2021Article
- Determinants of Vaccination Uptake in Risk Populations: A Comprehensive Literature Review.Vaccines · 2020Review
- Immunoinformatics and Vaccine Development: An Overview.ImmunoTargets and therapy · 2020Review
- Mumps Outbreaks in Vaccinated Populations-Is It Time to Re-assess the Clinical Efficacy of Vaccines?Frontiers in immunology · 2020Review
- Introduction of Vaccinomics to Develop Personalized Vaccines in Light of Changes in the Usage of Hantaan Virus Vaccine (Hantavax®) in Korea.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2019Article
- Influenza vaccines: Evaluation of the safety profile.Human vaccines & immunotherapeutics · 2018Review
- A Brief Review of Computer-Assisted Approaches to Rational Design of Peptide Vaccines.International journal of molecular sciences · 2016Review
- Plant expression systems, a budding way to confront chikungunya and Zika in developing countries?F1000Research · 2016Article
- Rational Design of Peptide Vaccines Against Multiple Types of Human Papillomavirus.Cancer informatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The epidemiology of deaths due to vaccine-preventable diseases has been significantly and positively altered through the use of vaccines. Despite this, significant challenges remain in vaccine development and use in the third millennium. Both new (Ebola, Chikungunya, Zika, and West Nile) and re-emerging diseases (measles, mumps, and influenza) require the development of new or next-generation vaccines. The global aging of the population, and accumulating numbers of immunocompromised persons, will require new vaccine and adjuvant development to protect large segments of the population. After vaccine development, significant challenges remain globally in the cost and efficient use and acceptance of vaccines by the public. This article raises issues in these two areas and suggests a way forward that will benefit current and future generations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.