Social equity-based distribution networks design for the COVID-19 vaccine

Dastgoshade, Sohaib; Shafiee, Mohammad; Klibi, Walid; Shishebori, Davood

doi:10.1016/j.ijpe.2022.108684

Cited by 29 publications

(5 citation statements)

References 50 publications

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“…While indexes composed of indicators of diverse nature have been used in other scenarios, prioritization for improving vaccination coverage has so far considered relative or absolute values, but in isolation [16][17][18]. There are also mathematical models in the literature for vaccine prioritization, but none calculated a single index [19][20][21]. In this way, the VNI can be seen as a tool to integrate the needs of the person rather than to meet the goal of a specific vaccine.…”

Section: Discussionmentioning

confidence: 99%

Proposal of a vaccination needs index to prioritize municipal interventions in Brazil

Diaz-Quijano,

Schrarstzhaupt,

Fantinato

et al. 2023

Preprint

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IntroductionTo address the health needs of a population, it is essential to integrate several indicators that are expressed on non-comparable scales. Vaccination is a crucial aspect of public health, and prioritizing vaccination needs through immunization registries can help allocate resources and funding to integral approaches.ObjectiveTo propose and implement an index of vaccination needs (VNI) based on national administrative data on tracer vaccines for children, born between 2019 and 2022, to help prioritize Brazilian municipalities.MethodologyWe analyzed data from 5,570 municipalities in Brazil. The VNI integrated indicators of vaccination coverage and the number of susceptible children regarding tracer vaccines for children including DTP – Diphtheria-Tetanus-Pertussis (third dose), polio (third dose), and MMR – Measles-Mumps and Rubella (second dose). We assessed how the VNI could identify a group of municipalities in challenging situations to improve vaccination.ResultsCompared with criteria based only on the absolute number of unvaccinated children (susceptible children) or the vaccination coverage, the group prioritized for having high VNI exhibited more similar proportions of large, medium, and small municipalities. Additionally, this group included more municipalities located in the Legal Amazon region and Special Sanitary Indigenous Districts than groups prioritized with the other criteria. The VNI also outperformed the other criteria to prioritize municipalities that differed from the rest regarding the Gini coefficient.ConclusionThe proposed VNI can facilitate the identification of populations that need differentiated interventions to prevent the resurgence of eliminated or controlled vaccine-preventable diseases.

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Section: Discussionmentioning

confidence: 99%

Proposal of a vaccination needs index to prioritize municipal interventions in Brazil

Diaz-Quijano,

Schrarstzhaupt,

Fantinato

et al. 2023

Preprint

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“…these concepts to develop models of a nation-wide vaccine administration campaign with the goal of maximizing efficiency, equity, and safety in real time. Such models can build on vaccine allocation models such as those developed by Balcik et al [41] and Dastgonshade et al [42]. These models could then be adapted to incorporate real data from multiple states to help orchestrate future mass-vaccination campaigns.…”

Section: Supporting Informationmentioning

confidence: 99%

The role of hesitancy and infrastructure in the equity and efficiency of COVID-19 vaccine administration

Chicoine,

Schnipper,

Griffin

2024

PLoS ONE

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After the first COVID-19 vaccines received emergency use authorization from the U.S. FDA in December 2020, U.S. states employed vaccine eligibility and administration plans (VEAPs) that determined when subgroups of residents would become eligible to receive the vaccine while the vaccine supply was still limited. During the implementation of these plans, public concern grew over whether the VEAPs and vaccine allocations from the federal government were resulting in an equitable and efficient vaccine distribution. In this study, we collected data on five states’ VEAPs, federal vaccine allocations, vaccine administration, and vaccine hesitancy to assess the equity of vaccine access and vaccine administration efficiency that manifested during the campaign. Our results suggest that residents in states which opened eligibility to the vaccine sooner had more competition among residents to receive the vaccine than occurred in other states. Regardless of states’ VEAPs, there was a consistent inefficiency in vaccine administration among all five states that could be attributed to both state and federal infrastructure deficits. A closer examination revealed a misalignment between federal vaccine allocations and the total eligible population in the states throughout the campaign, even when accounting for hesitancy. We conclude that in order to maximize the efficiency of future mass-vaccination campaigns, the federal and state governments should design adaptable allocation policies and eligibility plans that better match the true, real-time supply and demand for vaccines by accounting for vaccine hesitancy and manufacturing capacity. Further, we discuss the challenges of implementing such strategies.

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“…Furthermore, they accomplished a case study in Gaziantep City, Turkey, which was the 9th most populated and had an above-average number of COVID-19 patients. To resolve the inherent uncertainty in both problem sides of vaccine distribution, i.e., demand and supply, Dastgoshade et al ( 2022 ) presented a new two-stage stochastic programming model with two objectives by the sample-average-approximation (SAA) technique. Also, they designed a lexicographic goal programming method where social fairness was a preferred objective.…”

Section: Related Literaturementioning

confidence: 99%

Resilient and social health service network design to reduce the effect of COVID-19 outbreak

2023

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With the severe outbreak of the novel coronavirus (COVID-19), researchers are motivated to develop efficient methods to face related issues. The present study aims to design a resilient health system to offer medical services to COVID-19 patients and prevent further disease outbreaks by social distancing, resiliency, cost, and commuting distance as decisive factors. It incorporated three novel resiliency measures (i.e., health facility criticality, patient dissatisfaction level, and dispersion of suspicious people) to promote the designed health network against potential infectious disease threats. Also, it introduced a novel hybrid uncertainty programming to resolve a mixed degree of the inherent uncertainty in the multi-objective problem, and it adopted an interactive fuzzy approach to address it. The actual data obtained from a case study in Tehran province in Iran proved the strong performance of the presented model. The findings show that the optimum use of medical centers’ potential and the corresponding decisions result in a more resilient health system and cost reduction. A further outbreak of the COVID-19 pandemic is also prevented by shortening the commuting distance for patients and avoiding the increasing congestion in the medical centers. Also, the managerial insights show that establishing and evenly distributing camps and quarantine stations within the community and designing an efficient network for patients with different symptoms result in the optimum use of the potential capacity of medical centers and a decrease in the rate of bed shortage in the hospitals. Another insight drawn is that an efficient allocation of the suspect and definite cases to the nearest screening and care centers makes it possible to prevent the disease carriers from commuting within the community and increase the coronavirus transmission rate.

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Social equity-based distribution networks design for the COVID-19 vaccine

Cited by 29 publications

References 50 publications

Proposal of a vaccination needs index to prioritize municipal interventions in Brazil

Proposal of a vaccination needs index to prioritize municipal interventions in Brazil

The role of hesitancy and infrastructure in the equity and efficiency of COVID-19 vaccine administration

Resilient and social health service network design to reduce the effect of COVID-19 outbreak

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