ArticleScience (New York, N.Y.)2021
Optimizing age-specific vaccination.
Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Evaluating COVID-19 vaccination policy in Québec (Canada) using a data-driven dynamic transmission model.PLoS computational biology · 2025Article
- On value compatibility: reflections on the ethical framework for pandemic healthcare distribution.Medicine, health care, and philosophy · 2025Article
- Epihiper-A high performance computational modeling framework to support epidemic science.PNAS nexus · 2025Article
- Existence and stability of equilibria in infectious disease dynamics with behavioral feedback.Physical review. E · 2025Article
- Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread.Journal of parallel and distributed computing · 2024Article
- Comprehensive Review of COVID-19: Epidemiology, Pathogenesis, Advancement in Diagnostic and Detection Techniques, and Post-Pandemic Treatment Strategies.International journal of molecular sciences · 2024Review
- Modelling COVID-19 Vaccination in the UK: Impact of the Autumn 2022 and Spring 2023 Booster Campaigns.Infectious diseases and therapy · 2024Article
- Review
- Quantifying individual-level heterogeneity in infectiousness and susceptibility through household studies.Epidemics · 2023Article
- Optimality of Maximal-Effort Vaccination.Bulletin of mathematical biology · 2023Article
- Lessons Learned from a Global Perspective of Coronavirus Disease-2019.Clinics in chest medicine · 2023Review
- Asymptotic Analysis of Optimal Vaccination Policies.Bulletin of mathematical biology · 2023Article
- Article
- Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support.The international journal of high performance computing applications · 2023Article
- A longitudinal analysis of humoral, T cellular response and influencing factors in a cohort of healthcare workers: Implications for personalized SARS-CoV-2 vaccination strategies.Frontiers in immunology · 2023Article
- Article
- Quantifying individual-level heterogeneity in infectiousness and susceptibility through household studies.medRxiv : the preprint server for health sciences · 2022Article
- Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity.Nature human behaviour · 2022Article
- COVID-19 pandemic vaccination strategies of early 2021 based on behavioral differences between residents of Tokyo and Osaka, Japan.Archives of public health = Archives belges de sante publique · 2022Article
- Optimal control of the spatial allocation of COVID-19 vaccines: Italy as a case study.PLoS computational biology · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
33479122What 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.