Evidence map›Paper›PMID 34203821›Full record

ArticleInternational journal of environmental research and public health2021

COVID-19 Vaccine Priority Strategy Using a Heterogenous Transmission Model Based on Maximum Likelihood Estimation in the Republic of Korea.

Youngsuk Ko, Jacob Lee, Yeonju Kim, Donghyok Kwon, Eunok Jung

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

5 authors.

Youngsuk KoDepartment of Mathematics, Konkuk University, Seoul 05029, Korea.ORCID 0000-0001-9063-176X
Jacob LeeDivision of Infectious Disease, Department of Internal Medicine, Hallym University College of Medicine, Chuncheon 24252, Korea.
Yeonju KimDivision of Public Health Emergency Response Research, Korea Disease Control and Prevention Agency, Cheongju 28159, Korea.
Donghyok KwonDivision of Public Health Emergency Response Research, Korea Disease Control and Prevention Agency, Cheongju 28159, Korea.ORCID 0000-0003-4756-6477
Eunok JungDepartment of Mathematics, Konkuk University, Seoul 05029, Korea.

Funding

Korea Disease Control and Prevention Agency 2020-E5301-00
6 · The paper itself

Abstract

(1) Background: The vaccine supply is likely to be limited in 2021 due to constraints in manufacturing. To maximize the benefit from the rollout phase, an optimal strategy of vaccine allocation is necessary based on each country's epidemic status. (2) Methods: We first developed a heterogeneous population model considering the transmission matrix using maximum likelihood estimation based on the epidemiological records of individual COVID-19 cases in the Republic of Korea. Using this model, the vaccine priorities for minimizing mortality or incidence were investigated. (3) Results: The simulation results showed that the optimal vaccine allocation strategy to minimize the mortality (or incidence) was to prioritize elderly and healthcare workers (or adults) as long as the reproductive number was below 1.2 (or over 0.9). (4) Conclusion: Our simulation results support the current Korean government vaccination priority strategy, which prioritizes healthcare workers and senior groups to minimize mortality, under the condition that the reproductive number remains below 1.2. This study revealed that, in order to maintain the current vaccine priority policy, it is important to ensure that the reproductive number does not exceed the threshold by concurrently implementing nonpharmaceutical interventions.

Indexed as

COVID-19VaccinesAdultAgedCOVID-19 VaccinesHumansLikelihood FunctionsRepublic of KoreaSARS-CoV-2VaccinationCOVID-19 VaccinesVaccinesCOVID-19healthcare workermathematical modelingmaximum likelihood estimationreproductive numbervaccine priority

Identifiers

PMID34203821
PMCPMC8296292

What OpenQuestion holds

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Registered trials

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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.