Evidence map›Paper›PMID 34007250›Full record

ArticleFinance research letters2022

Optimal lockdown policy for vaccination during COVID-19 pandemic.

Yuting Fu, Hanqing Jin, Haitao Xiang, Ning Wang

Abstract read
In one paragraph

Article in Finance research letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
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  5. Article
  6. Optimality of Maximal-Effort Vaccination.Bulletin of mathematical biology · 2023
    Article
  7. Article
  8. Article
  9. Review
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  11. Article
  12. Article
  13. Article
  14. Article
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  16. Article
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  18. Article
  19. Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights.International journal of environmental research and public health · 2021
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yuting FuOxford Nie Financial Big Data Laboratory, Mathematical Institute, University of Oxford, Oxford, UK.
Hanqing JinOxford Nie Financial Big Data Laboratory, Mathematical Institute, University of Oxford, Oxford, UK.
Haitao XiangOxford Nie Financial Big Data Laboratory, Mathematical Institute, University of Oxford, Oxford, UK.
Ning WangOxford Nie Financial Big Data Laboratory, Mathematical Institute, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the COVID-19 spreads across the world, many nations impose lockdown measures at the early stage of the pandemic to prevent the spread of the disease. Controversy surrounds the lockdown as it is a choice between economic freedom and public health. The ultimate solution to a pandemic is to vaccinate a massive population to achieve herd immunity. However, the whole vaccination programme is a long and complicated process. The virus and the vaccine will coexist for quite a long time. How to gradually ease the lockdown based on vaccination progress is an important question, as both economic and epidemiological issues are involved. In this paper, we extend the classic SIR model to find optimal decision to balance between economy and public health in the process of vaccination rollout. The model provides an approach of vaccine value estimation. Our results provide scientific suggestion for policymakers to make important decisions on how to gradually relax the strength for the lockdown over the entire vaccination cycle.

Indexed as

COVID-19EquilibriumLockdownOptimal controlSIR

Identifiers

PMID34007250
PMCPMC8119293

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.