A humanitarian cold supply chain distribution model with equity consideration: The case of COVID-19 vaccine distribution in the European Union

Khodaee, Vahid; Kayvanfar, Vahid; Haji, Alireza

doi:10.1016/j.dajour.2022.100126

Cited by 26 publications

(8 citation statements)

References 43 publications

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“…Most of these studies evaluate vaccination success as the reduction of the overall disease burden (mortality, hospitalizations, or infections) without accounting for projected equity gaps. A few studies include inequity outcomes, mostly focusing on the geographic distribution of vaccines among countries, states, or affected regions ( 46 , 47 ), and only a handful discuss reducing inequities in access or disparities in outcomes between racial groups ( 48–50 ).…”

Section: Introductionmentioning

confidence: 99%

Retrospective analysis of equity-based optimization for COVID-19 vaccine allocation

Stafford,

Dimitrov,

Ceballos

et al. 2023

PNAS Nexus

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Marginalized racial and ethnic groups in the United States were disproportionally affected by the COVID-19 pandemic. To study these disparities, we construct an age-and-race-stratified mathematical model of SARS-CoV-2 transmission fitted to age-and-race-stratified data from 2020 in Oregon and analyze counterfactual vaccination strategies in early 2021. We consider two racial groups: non-Hispanic White persons and persons belonging to BIPOC groups (including non-Hispanic Black persons, non-Hispanic Asian persons, non-Hispanic American-Indian or Alaska-Native persons, and Hispanic or Latino persons). We allocate a limited amount of vaccine to minimize overall disease burden (deaths or years of life lost), inequity in disease outcomes between racial groups (measured with five different metrics), or both. We find that, when allocating small amounts of vaccine (10% coverage), there is a trade-off between minimizing disease burden and minimizing inequity. Older age groups, who are at a greater risk of severe disease and death, are prioritized when minimizing measures of disease burden, and younger BIPOC groups, who face the most inequities, are prioritized when minimizing measures of inequity. The allocation strategies that minimize combinations of measures can produce middle-ground solutions that similarly improve both disease burden and inequity, but the trade-off can only be mitigated by increasing the vaccine supply. With enough resources to vaccinate 20% of the population the trade-off lessens, and with 30% coverage, we can optimize both equity and mortality. Our goal is to provide a race-conscious framework to quantify and minimize inequity that can be used for future pandemics and other public health interventions.

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Section: Introductionmentioning

confidence: 99%

Retrospective analysis of equity-based optimization for COVID-19 vaccine allocation

Stafford,

Dimitrov,

Ceballos

et al. 2023

PNAS Nexus

View full text Add to dashboard Cite

show abstract

“…While several studies on COVID-19 vaccine supply chain [56][57] [58] and vaccine allocation and distribution [59][36] [60] have considered multiple vaccine brands, dosing intervals, and/or multiple doses in their model, this is not as common for studies on COVID-19 vaccination facility location alone. Most of the early studies only considered multiple doses and they only dealt with optimising the scheduling of the vaccination campaign.…”

Section: Multiple Vaccinesmentioning

confidence: 99%

Multiperiod vaccination facility planning

Tacadao,

Simonis,

Quesada

et al. 2024

Preprint

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We propose a decision support tool, based on Mixed Integer Programming, to help with the planning of national vaccination campaigns, and test it on data and scenarios obtained from the publicly available information about the Irish COVID-19 vaccination program. We show that a large variety of constraints can be included in the tool, as well as combinations of different objective functions for the different stakeholders. The tests show that the multi-period/multi-vaccine problem can be effectively solved by the given model, while allowing to consider the impact of potential changes in the input data. We also present a number of specific visualizations that help the user understand the plan created by the application.

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“…The strategies that were studied included integrated healthcare resource allocation and sharing, as well as patient transfers. Khodaee et al [ 28 ] addressed the equity problem of COVID-19 vaccine distribution in a cold supply chain network. They used a MILP formulation to model the supply chain planning and applied their work in European countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19

Kochakkashani

Kayvanfar

Haji

2023

Socio-Economic Planning Sciences

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A humanitarian cold supply chain distribution model with equity consideration: The case of COVID-19 vaccine distribution in the European Union

Cited by 26 publications

References 43 publications

Retrospective analysis of equity-based optimization for COVID-19 vaccine allocation

Retrospective analysis of equity-based optimization for COVID-19 vaccine allocation

Multiperiod vaccination facility planning

Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19

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