Evidence map›Paper›PMID 37350470›Full record

ArticleHuman vaccines & immunotherapeutics2023

Optimal vaccination strategies for COVID-19 in population migration between two regions scenario.

Chao Zuo, Yuting Ling, Yuli Guo, Mengjun Zhang, Zeyang Meng, Guochun Xiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human vaccines & immunotherapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Chao ZuoSchool of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou, China.
Yuting LingSchool of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou, China.
Yuli GuoSchool of Health Management, Southern Medical University, Guangzhou, China.
Mengjun ZhangSchool of Public Health, Southern Medical University, Guangzhou, China.
Zeyang MengSchool of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou, China.
Guochun XiangSchool of Health Management, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population movements had a significant impact on the spread of COVID-19, and vaccination is considered the most effective means for humans to face viral infections. This study identifies the optimal control strategy for COVID-19 prevention and control, and explores the impact of short-term and long-term migration on the optimal proportion of vaccine allocation between two regions. We proposed to establish the SIR (Susceptible-Infectious-Recovered) model and determine the stability by calculating the disease free equilibrium and Jacobi matrix of the model. We then established the vaccine optimization model, solved the optimal vaccine distribution strategy by gradient descent method and explored the impact of short-term and long-term migration on the optimal vaccine allocation ratio. The stability analysis revealed that the virus could not be eliminated only by reducing the migration rates and infection rates. we introduced the vaccine methods and obtained the optimal vaccine allocation ratio in Shenzhen and Hong Kong as

Indexed as

COVID-19EpidemicsInfluenza VaccinesDisease OutbreaksHumansVaccinationInfluenza VaccinesCOVID-19numerical simulationpopulation migrationvaccination strategies

Identifiers

PMID37350470
PMCPMC10332196

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.