A multi-criterion approach to optimal vaccination planning: Method and solution

Ng, C. T.; Cheng, T.C.E.; Tsadikovich, Dmitry; Levner, Eugene; Elalouf, Amir; Hovav, Sharon

doi:10.1016/j.cie.2018.10.018

Cited by 20 publications

(8 citation statements)

References 53 publications

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“…They find that group-specific transmission is important in the evolution of the influenza virus and should be taken into account in vaccine allocation decision-making. Ng et al ( 59 ) combined a multi-criterion mathematical programming model with an SIR model to determine the optimal vaccination strategies for seasonal influenza. The proposed multi-criterion optimization problem was solved by the augmented epsilon-constraint method.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing two-dose vaccine resource allocation to combat a pandemic in the context of limited supply: The case of COVID-19

Zhu

Wang

Huang

2023

Front. Public Health

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The adequate vaccination is a promising solution to mitigate the enormous socio-economic costs of the ongoing COVID-19 pandemic and allow us to return to normal pre-pandemic activity patterns. However, the vaccine supply shortage will be inevitable during the early stage of the vaccine rollout. Public health authorities face a crucial challenge in allocating scarce vaccines to maximize the benefits of vaccination. In this paper, we study a multi-period two-dose vaccine allocation problem when the vaccine supply is highly limited. To address this problem, we constructed a novel age-structured compartmental model to capture COVID-19 transmission and formulated as a nonlinear programming (NLP) model to minimize the total number of deaths in the population. In the NLP model, we explicitly take into account the two-dose vaccination procedure and several important epidemiologic features of COVID-19, such as pre-symptomatic and asymptomatic transmission, as well as group heterogeneity in susceptibility, symptom rates, severity, etc. We validated the applicability of the proposed model using a real case of the 2021 COVID-19 vaccination campaign in the Midlands of England. We conducted comparative studies to demonstrate the superiority of our method. Our numerical results show that prioritizing the allocation of vaccine resources to older age groups is a robust strategy to prevent more subsequent deaths. In addition, we show that releasing more vaccine doses for first-dose recipients could lead to a greater vaccination benefit than holding back second doses. We also find that it is necessary to maintain appropriate non-pharmaceutical interventions (NPIs) during the vaccination rollout, especially in low-resource settings. Furthermore, our analysis indicates that starting vaccination as soon as possible is able to markedly alleviate the epidemic impact when the vaccine resources are limited but are currently available. Our model provides an effective tool to assist policymakers in developing adaptive COVID-19 likewise vaccination strategies for better preparedness against future pandemic threats.

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing two-dose vaccine resource allocation to combat a pandemic in the context of limited supply: The case of COVID-19

Zhu

Wang

Huang

2023

Front. Public Health

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“…To this end, some have integrated the multi-compartmental models with the so-called Vaccine Allocation Problems (VAPs) to optimally allocate vaccines to sub-populations according to specific disease transmission dynamics. Ren et al (2013) , for example, adopted an SIR model to approximate and update the fatality rate of a smallpox outbreak in a multi-city setting, while Ng et al (2018) applied a similar SIR model to determine the optimal mix of vaccine allocation strategies that optimized three different conflicting objectives based on the augmented

-constraint approach. Enayati and Ozaltin (2020) , on the other hand, employed a more complicated SEIR model to mimic the transmission dynamics of influenza and later formulated a mathematical programming model to minimize total number of vaccine doses required for each sub-population so that the pandemic was under controlled (

).…”

Section: Literature Reviewmentioning

confidence: 99%

An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand

Jarumaneeroj

Dusadeerungsikul

Chotivanich

et al. 2022

Computers & Industrial Engineering

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“…There are various research articles related to health-care location problems with a deterministic perspective, such as primary health centers, long-term health centers and preventive health-care stations (Tavana et al, 2021;G€ unes et al, 2014;Cardoso et al, 2015;Verter and Lapierre, 2002;Yue et al, 2009, Kamel andMousa, 2021). These studies consider various objectives such as single-objective optimization, access equity maximization, health-care cost minimization (G€ unes et al, 2014;Ndiaye and Alfares, 2008) and multi-objective optimization (Li et al, 2020;Mohammadi et al, 2014;Ng et al, 2018). Some prior research modeled epidemiological dynamics using population game theory (Li et al, 2017;Chen et al, 2018).…”

Section: Vaccine Supply Chainmentioning

confidence: 99%

“…They displayed the problem as a nonlinear and a robust optimization model and applied an evolutionary solution method. Moreover, their applications inside the health-care sector have also been broadly used in other similar areas, such as vaccination location problems, design and analysis of their allocation (Duijzer et al, 2018;Sinha et al, 2021) and optimal vaccine distribution strategies planning (Ng et al, 2018).…”

Section: Vaccine Distributionmentioning

confidence: 99%

Optimal Covid-19 vaccine stations location and allocation strategies

Kumar

Ramane

et al. 2022

BIJ

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PurposeThis study proposes strategies for vaccine center allocation for coronavirus disease (COVID) vaccine by determining the number of vaccination stations required for the vaccination drive, location of vaccination station, assignment of demand group to vaccination station, allocation of the scarce medical professional teams to station and number of optimal days a vaccination station to be functional in a week.Design/methodology/approachThe authors propose a mixed-integer nonlinear programming model. However, to handle nonlinearity, the authors devise a heuristic and then propose a two-stage mixed-integer linear programming (MILP) formulation to optimize the allocation of vaccination centers or stations to demand groups in the first stage and the allocation of vaccination centers to cold storage links in the second stage. The first stage optimizes the cost and average distance traveled by people to reach the vaccination center, whereas the second stage optimizes the vaccine’s holding and storage and transportation cost by efficiently allocating cold storage links to the centers.Findings The model is studied for the real-world case of Chandigarh, India. The results obtained validate that the proposed approach can immensely help government agencies and policymaking body for a successful vaccination drive. The model tries to find a tradeoff between loss due to underutilized medical teams and the distance traveled by a demand group to get the vaccination.Originality/value To the best of our knowledge, there are hardly any studies on a vaccination program at such a scale due to sudden outbreaks such as Covid-19.

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A multi-criterion approach to optimal vaccination planning: Method and solution

Cited by 20 publications

References 53 publications

Optimizing two-dose vaccine resource allocation to combat a pandemic in the context of limited supply: The case of COVID-19

Optimizing two-dose vaccine resource allocation to combat a pandemic in the context of limited supply: The case of COVID-19

An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand

Optimal Covid-19 vaccine stations location and allocation strategies

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