Breaking Vaccine Nationalism: An Equitable Vaccine Distribution Framework under Humanitarian Perspectives DOI

Junyang Cai,

Jian Zhou,

Athanasios A. Pantelous

et al.

SSRN Electronic Journal, Journal Year: 2022, Volume and Issue: unknown

Published: Jan. 1, 2022

During the recent COVID-19 pandemic crisis, vaccine nationalism or a my country first approach to allocation led several high-income countries bidding against one another, driving up prices and of related materials. As result this conflict, income inequality between rich poor has widened even more significantly challenged poorer countries' ability deliver administer doses that could slow spread virus elsewhere, as well preventing it from mutating through replication process. We therefore present, in paper, novel data-driven distribution framework address ethical phenomenon with its serious detrimental consequences for achievement global interconnectedness United Nations goals better sustainable future all. Our proposed consists two models, multi-strain Susceptible-VaccinatedInfected-Removed-Susceptible network models. The case is then successfully applied framework, we further simulate epidemic development affected by nationalism, emphasize perniciousness verify effectiveness our treatment. demonstrate clearly equitable strategy hasten end pandemic. On contrary, daily concerned but weakens considerations equity myopic, similar "rob Peter pay Paul" approach, barely controls mutant strains. Further, benefit only transient, they will likely suffer strain at later date, when vaccines are less effective it. Finally, if hesitancy persistent, there still some chance ending vaccinating rest willing population, under conditions distribution, rapidly develop herd immunity. presented here can offer constructive guidance terms potential pandemics well, including current monkeypox outbreak.

Language: Английский

A state-dependent M/M/1 queueing location-allocation model for vaccine distribution using metaheuristic algorithms DOI Creative Commons
Fatemeh Hirbod,

Masoud Eshghali,

Mohammad Sheikhasadi

et al.

Journal of Computational Design and Engineering, Journal Year: 2023, Volume and Issue: 10(4), P. 1507 - 1530

Published: June 23, 2023

Abstract Controlling and maintaining public health in the face of diseases necessitates effective implementation response strategies, including distribution vaccines. By distributing vaccines, vulnerable populations can be targeted, individuals protected, spread minimized. However, managing vaccine poses challenges that require careful consideration various factors, location facilities. This paper proposes a novel model combines location-allocation problems with queueing systems methodologies to optimize efficiency distribution. The proposed considers factors such as uncertain demand, varying service rates, depending on system state. Its primary objective is minimize total costs, which encompass establishment adjustment mechanism, travel times, customer waiting time. To forecast demand utilizes time-series techniques, specifically seasonal Autoregressive Integrated Moving Average model. In order tackle large-scale problems, 16 newly developed metaheuristic algorithms are employed, their performance thoroughly evaluated. approach facilitates generation solutions nearly optimal within reasonable timeframe. effectiveness evaluated through real-life case study focused vaccination Iran. Furthermore, comprehensive sensitivity analysis conducted demonstrate practical applicability contributes advancement robust decision-making frameworks provides valuable insights for addressing location-related systems.

Language: Английский

Citations

15
Optimization modeling for pandemic vaccine supply chain management: A review and future research opportunities DOI Creative Commons

S S Dey,

Ali Kaan Kurbanzade,

Esma S. Gel

et al.

Naval Research Logistics (NRL), Journal Year: 2024, Volume and Issue: 71(7), P. 976 - 1016

Published: April 18, 2024

During various stages of the COVID-19 pandemic, countries implemented diverse vaccine management approaches, influenced by variations in infrastructure and socio-economic conditions. This article provides a comprehensive overview optimization models developed research community throughout era, aimed at enhancing distribution establishing standardized framework for future pandemic preparedness. These address critical issues such as site selection, inventory management, allocation strategies, logistics, route encountered during crisis. A unified is employed to describe models, emphasizing their integration with epidemiological facilitate holistic understanding. also summarizes evolving nature literature, relevant gaps, authors' perspectives model selection. Finally, scopes are detailed both context modeling solutions approaches.

Language: Английский

Citations

5
Balancing fairness and efficiency in dynamic vaccine allocation during major infectious disease outbreaks DOI Creative Commons
Zhaoli Dai,

Hongjie Lan,

Hai Nan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 8, 2025

The outbreak of novel infectious diseases presents major public health challenges, highlighting the urgency accelerating vaccination efforts to reduce morbidity and mortality. Vaccine allocation has become a crucial societal concern. This paper introduces dynamic vaccine model that considers demand uncertainty willingness, focusing on trade-off between fairness efficiency. We develop multi-period model, evaluating optimal strategies over different periods. addresses structural differences among groups, strategy selection, demand, willingness. Our findings suggest prioritizing efficiency in initial stages may lead inequitable distribution, causing adverse social impacts, while overemphasizing can undermine overall utility. Therefore, we propose optimization-based balancing at pandemic stages. results indicate should shift from as evolves enhance Additionally, macro-level interventions like reducing free-rider behavior increasing convenience improve total study offers new perspectives methodologies for allocation, efficiency, providing insights policy formulation response.

Language: Английский

Citations

0
Maintaining fairness in stochastic chemotherapy scheduling DOI
Batuhan Çelik,

Serhat Gül,

Özlem Karsu

et al.

Omega, Journal Year: 2025, Volume and Issue: unknown, P. 103338 - 103338

Published: April 1, 2025

Language: Английский

Citations

0
Interventions in demand and supply sides for vaccine supply chain: An analysis on monkeypox vaccine DOI Creative Commons
Hamid R. Sayarshad

Operations Research Perspectives, Journal Year: 2023, Volume and Issue: 11, P. 100285 - 100285

Published: June 28, 2023

After a pandemic, all countries experience shortage in vaccine supply due to limited stocks and production capacity globally. One particular problem is that it's hard predict demands for vaccines during the global crisis. On other hand, are usually made packaged different places, raising logistical issues concerns can further delay distribution. In this paper, we propose an optimization formulation model link infectious disease dynamics chain networks considering one-to-one relationship between demand vaccines. We focus on designing coordination system using government subsidy considers equilibrium behaviors of manufacturers under actual vaccine. This study evaluates help market reach socially optimal. Different decisions, such as distribution investigated. A monkeypox pandemic U.S. performed validate our its results. The obtained results from testing proposed revealed coverage increased by up 35%, while unmet reduced 60%, comparison when act individually.

Language: Английский

Citations

9
Developing a national pandemic vaccination calendar under supply uncertainty DOI
Sırma Karakaya, Burcu Balcik

Omega, Journal Year: 2023, Volume and Issue: 124, P. 103001 - 103001

Published: Nov. 24, 2023

Language: Английский

Citations

7
A guided twin delayed deep deterministic reinforcement learning for vaccine allocation in human contact networks DOI Creative Commons
Ehsan Ardjmand, Alireza Fallahtafti,

Ehsan Yazdani

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 167, P. 112322 - 112322

Published: Oct. 9, 2024

Language: Английский

Citations

1
Managing resource allocation for the recruitment stocking problem DOI
Weiwei Chen,

Gül Çulhan Kumcu,

Benjamin Melamed

et al.

Omega, Journal Year: 2023, Volume and Issue: 120, P. 102912 - 102912

Published: June 7, 2023

Language: Английский

Citations

2
Vaccination subsidy allocation under budget constraints considering the human interpersonal contact pattern and vaccine protection effect in epidemics DOI
Yang Wu, Haixiang Guo, Yong Shi

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110679 - 110679

Published: Oct. 1, 2024

Language: Английский

Citations

0
Number of medical facilities within driving distance of residence and influenza vaccination status in Japan: A cross-sectional study DOI Creative Commons
Masaki Machida, Shigeru Inoue, Tomoki Nakaya

et al.

Human Vaccines & Immunotherapeutics, Journal Year: 2024, Volume and Issue: 21(1)

Published: Dec. 20, 2024

Vaccine hesitancy primarily consists of confidence, complacency, and convenience, including geographical accessibility. However, few studies in developed countries have focused on the association between accessibility to vaccination services status previous shown conflicting results. This cross-sectional study aimed clarify number medical facilities within a 15-minute driving distance from place residence influenza status, using large nationwide internet survey Japan (

Language: Английский

Citations

0