ArticleNature communications2021
Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive models for health outcomes due to SARS-CoV-2, including the effect of vaccination: a systematic review.Systematic reviews · 2024Pooled it
- Optimal timing for staged vaccination campaigns: Insights from scenario tree-based stochastic optimization.Infectious Disease Modelling · 2027Article
- Optimizing infectious disease mitigation under dynamic conditions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis.Healthcare analytics (New York, N.Y.) · 2025Article
- Learning from the COVID-19 pandemic: A systematic review of mathematical vaccine prioritization models.Infectious Disease Modelling · 2024Review
- Vaccination for communicable endemic diseases: optimal allocation of initial and booster vaccine doses.Journal of mathematical biology · 2024Article
- Assessing the impact of interventions on the major Omicron BA.2 outbreak in spring 2022 in Shanghai.Infectious Disease Modelling · 2024Article
- Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models.medRxiv : the preprint server for health sciences · 2024Article
- Covid19Vaxplorer: A free, online, user-friendly COVID-19 vaccine allocation comparison tool.PLOS global public health · 2024Article
- Evaluation of vaccine rollout strategies for emerging infectious diseases: A model-based approach including protection attitudes.Infectious Disease Modelling · 2023Article
- Covid19Vaxplorer: a free, online, user-friendly COVID-19 Vaccine Allocation Comparison Tool.medRxiv : the preprint server for health sciences · 2023Article
- Evidence of leaky protection following COVID-19 vaccination and SARS-CoV-2 infection in an incarcerated population.Nature communications · 2023Article
- A modeling-based approach to optimize COVID-19 vaccine dosing schedules for improved protection.JCI insight · 2023Article
- Evaluating vaccine allocation strategies using simulation-assisted causal modeling.Patterns (New York, N.Y.) · 2023Article
- Article
- Modeling and analysis of novel COVID-19 outbreak under fractal-fractional derivative in Caputo sense with power-law: a case study of Pakistan.Modeling earth systems and environment · 2023Article
- A decision support system for scheduling a vaccination campaign during a pandemic emergency: The COVID-19 case.Computers & industrial engineering · 2023Article
- Contact pattern, current immune barrier, and pathogen virulence determines the optimal strategy of further vaccination.Infectious Disease Modelling · 2023Article
- Adaptive behaviors and vaccination on curbing COVID-19 transmission: Modeling simulations in eight countries.Journal of theoretical biology · 2023Article
- Transmission trends of the global COVID-19 pandemic with combined effects of adaptive behaviours and vaccination.Epidemiology and infection · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dynamically adapting the allocation of COVID-19 vaccines to the evolving epidemiological situation could be key to reduce COVID-19 burden. Here we developed a data-driven mechanistic model of SARS-CoV-2 transmission to explore optimal vaccine prioritization strategies in China. We found that a time-varying vaccination program (i.e., allocating vaccines to different target groups as the epidemic evolves) can be highly beneficial as it is capable of simultaneously achieving different objectives (e.g., minimizing the number of deaths and of infections). Our findings suggest that boosting the vaccination capacity up to 2.5 million first doses per day (0.17% rollout speed) or higher could greatly reduce COVID-19 burden, should a new wave start to unfold in China with reproduction number ≤1.5. The highest priority categories are consistent under a broad range of assumptions. Finally, a high vaccination capacity in the early phase of the vaccination campaign is key to achieve large gains of strategic prioritizations.
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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.