Evidence map›Paper›PMID 34099948›Full record

ArticleAnnals of operations research2021

A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries.

Madjid Tavana, Kannan Govindan, Arash Khalili Nasr, Mohammad Saeed Heidary, Hassan Mina

Open access · bronzeAbstract read
In one paragraph

Article in Annals of operations research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.6field-weighted citation impact, top 2% of its field
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

26 citing papers in PubMed, 92 citations in OpenAlex.

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  10. Prescriptive Analytics-Based SIRM Model for Predicting Covid-19 Outbreak.Global journal of flexible systems management · 2023
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  17. COVID-19 vaccine distribution planning using a congested queuing system-A real case from Australia.Transportation research. Part E, Logistics and transportation review · 2022
    Article
  18. Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia.Transportation research. Part E, Logistics and transportation review · 2022
    Article
  19. Article
  20. Review
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 at 5 institutions in 4 countries.

Madjid TavanaBusiness Systems and Analytics Department, Distinguished Chair of Business Analytics, La Salle University, Philadelphia, PA 19141 USA.ORCID 0000-0003-2017-1723
Kannan GovindanDepartment of Technology and Innovation, University of Southern Denmark, Odense, Denmark.
Arash Khalili NasrGraduate School of Management and Economics, Sharif University of Technology, Tehran, Iran.
Mohammad Saeed HeidaryFaculty of Management and Accounting, Allameh Tabataba'I University, Tehran, Iran.
Hassan MinaSchool of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Allameh Tabataba'i University · IRPaderborn University · DESharif University of Technology · IRUniversity of Southern Denmark · DKUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing countries scramble to contain and mitigate the spread of coronavirus disease 2019 (COVID-19), and world leaders demand equitable distribution of vaccines to trigger economic recovery. Although numerous strategies, including education, quarantine, and immunization, have been used to control COVID-19, the best method to curb this disease is vaccination. Due to the high demand for COVID 19 vaccine, developing countries must carefully identify and prioritize vulnerable populations and rationalize the vaccine allocation process. This study presents a mixed-integer linear programming model for equitable COVID-19 vaccine distribution in developing countries. Vaccines are grouped into cold, very cold, and ultra-cold categories where specific refrigeration is required for their storage and distribution. The possibility of storage for future periods, facing a shortage, budgetary considerations, manufacturer selection, order allocation, time-dependent capacities, and grouping of the heterogeneous population are among the practical assumptions in the proposed approach. Real-world data is used to demonstrate the efficiency and effectiveness of the mathematical programming approach proposed in this study.

Indexed as

Coronavirus vaccineCOVID-19Equitable distributionLocation-inventory problemMixed-integer linear programming modelVaccine supply chain

Identifiers

PMID34099948
PMCPMC8172366
OpenAlexW3166184737

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.