Evidence map›Paper›PMID 35228772›Full record

ArticleComputers & industrial engineering2022

An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand.

Pisit Jarumaneeroj, Puwadol Oak Dusadeerungsikul, Tharin Chotivanich, Tanawin Nopsopon, Krit Pongpirul

Abstract read
In one paragraph

Article in Computers & industrial engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  11. Can Thailand achieve COVID-19 herd immunity?Public health challenges · 2022
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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.

Pisit JarumaneerojDepartment of Industrial Engineering, Chulalongkorn University, Thailand.
Puwadol Oak DusadeerungsikulDepartment of Industrial Engineering, Chulalongkorn University, Thailand.
Tharin ChotivanichDepartment of Industrial Engineering, Chulalongkorn University, Thailand.
Tanawin NopsoponDepartment of Preventive and Social Medicine, Chulalongkorn University, Thailand.
Krit PongpirulDepartment of Preventive and Social Medicine, Chulalongkorn University, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper addresses a framework for the operational allocation and administration of COVID-19 vaccines in Thailand, based on both COVID-19 transmission dynamics and other vital operational restrictions that might affect the effectiveness of vaccination strategies in the early stage of vaccine rollout. In this framework, the SIQRV model is first developed and later combined with the COVID-19 Vaccine Allocation Problem (CVAP) to determine the optimal allocation/administration strategies that minimize total weighted strain on the whole healthcare system. According to Thailand's second pandemic wave data (17

Indexed as

COVID-19Epidemiological modelPandemicVaccine administrationVaccine allocation

Identifiers

PMID35228772
PMCPMC8865938

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.