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

Optimizing vaccine logistics: a taxonomy and narrative review DOI
J C Locke, Majid Taghavi, Bahareh Mansouri

et al.

INFOR Information Systems and Operational Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 42

Published: Feb. 20, 2025

Language: Английский

Citations

1
Data-driven modeling for designing a sustainable and efficient vaccine supply chain: A COVID-19 case study DOI
Bahareh Kargar, Pedram MohajerAnsari, İ. Esra Büyüktahtakın

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 184, P. 103494 - 103494

Published: March 21, 2024

Language: Английский

Citations

8
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
Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic DOI Creative Commons
Behnam Vahdani, Mehrdad Mohammadi, Simon Thevenin

et al.

Omega, Journal Year: 2023, Volume and Issue: 120, P. 102909 - 102909

Published: June 4, 2023

The COVID-19 virus's high transmissibility has resulted in the rapid spread throughout world, which brought several repercussions, ranging from a lack of sanitary and medical products to collapse systems. Hence, governments attempt re-plan production reallocate limited health resources combat pandemic. This paper addresses multi-period production-inventory-sharing problem (PISP) overcome such circumstance, considering two consumable reusable products. We introduce new formulation decide on production, inventory, delivery, sharing quantities. will depend net supply balance, allowable demand overload, unmet demand, reuse cycle Undeniably, dynamic for during pandemic situations must be reflected effectively addressing PISP. A bespoke compartmental susceptible-exposed-infectious-hospitalized-recovered-susceptible (SEIHRS) epidemiological model with control policy is proposed, also accounts influence people's behavioral response as result knowledge adequate precautions. An accelerated Benders decomposition-based algorithm tailored valid inequalities offered solve model. Finally, we consider realistic case study - France examine computational proficiency decomposition method. results reveal that proposed method coupled effective can large-sized test problems reasonable time 9.88 times faster than commercial Gurobi solver. Moreover, mechanism reduces total cost system average up 32.98% 20.96%, respectively.

Language: Английский

Citations

11
Optimal Multimodal Multi-Echelon Vaccine Distribution Network Design for Low and Medium-Income Countries with Manufacturing Infrastructure during Healthcare Emergencies DOI
Biswajit Kar, Mamata Jenamani

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: 273, P. 109282 - 109282

Published: May 25, 2024

Language: Английский

Citations

4
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
Managing Equitable Contagious Disease Testing: A Mathematical Model for Resource Optimization DOI Creative Commons
Peiman Ghasemi, Jan Fabian Ehmke, Martin Bicher

et al.

Omega, Journal Year: 2025, Volume and Issue: unknown, P. 103305 - 103305

Published: Feb. 1, 2025

Language: Английский

Citations

0
Epidemiological Models to Predict Infection Epidemic: A Literature Review DOI

Fatemeh Mirsaeedi,

Mohammad Sheikhalishahi, Mehrdad Mohammadi

et al.

International series in management science/operations research/International series in operations research & management science, Journal Year: 2025, Volume and Issue: unknown, P. 249 - 330

Published: Jan. 1, 2025

Language: Английский

Citations

0
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
Covid19Vaxplorer: A free, online, user-friendly COVID-19 vaccine allocation comparison tool DOI Creative Commons
Imelda Trejo, Pei-Yao Hung, Laura Matrajt

et al.

PLOS Global Public Health, Journal Year: 2024, Volume and Issue: 4(1), P. e0002136 - e0002136

Published: Jan. 22, 2024

There are many COVID-19 vaccines currently available, however, Low- and middle-income countries (LMIC) still have large proportions of their populations unvaccinated. Decision-makers must decide how to effectively allocate available (e.g. boosters or primary series vaccination, which age groups target) but LMIC often lack the resources undergo quantitative analyses vaccine allocation, resulting in ad-hoc policies. We developed Covid19Vaxplorer (https://covid19vaxplorer.fredhutch.org/), a free, user-friendly online tool that simulates region-specific epidemics conjunction with vaccination purpose providing public health officials worldwide for allocation planning comparison. an age-structured mathematical model SARS-CoV-2 transmission vaccination. The considers up three different products, boosters. simulated partial immunity derived from waning natural infection is embedded tool, was optimized its ease use. By prompting users fill information through several windows input local parameters cumulative current prevalence), epidemiological (e.g basic reproduction number, social distancing interventions), efficacy, duration immunity) (both by status). connects user simulates, real time, epidemics. then produces key outcomes including expected numbers deaths, hospitalizations cases, possibility simulating scenarios at once side-by-side provide two usage examples Haiti Afghanistan, had as Spring 2023, 2% 33% vaccinated, show these particular examples, using vaccinations prevents more deaths than them

Language: Английский

Citations

2