Locate vaccination stations considering travel distance, operational cost, and work schedule

Li, Xin; Pan, Yanchun; Jiang, Shiqiang; Huang, Qiang; Chen, Zhimin; Zhang, Mingxia; Zhang, Zuoyao

doi:10.1016/j.omega.2020.102236

Cited by 26 publications

(24 citation statements)

References 29 publications

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“…The location of the vaccine distribution center has been widely studied. [29] propose a multi-objective mixed-integer non-linear programming model to help the CDC determine the locations of vaccination stations. The model jointly considers travel distance and operational cost within a single planning period.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, fewer opened vaccination sites may force the population to travel a long distance to get vaccinated, which leads to a low service level. As indicated by [29] , the convenience of receiving vaccination services would affect recipients decisions, especially travel distance and time. Moreover, an equitable optimization of cost and service level must also be taken into account [30] Therefore, decision-makers face a multi-objective optimization problem when making a vaccination plan, in which the following decisions that are relevant and even conflicting must be simultaneously made to balance the operational cost and the service level.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bi-objective optimization for a multi-period COVID-19 vaccination planning problem

Tang

Bai

et al. 2022

Omega

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bi-objective optimization for a multi-period COVID-19 vaccination planning problem

Tang

Bai

et al. 2022

Omega

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“…Li et al ( 38 ) suggested a model that could achieve three objectives for locating vaccine sites to provide preventive vaccination to a specific group, in this case children. The three objectives were to minimize average travel distance to demand points, maximize the number of fully open vaccine stations, and minimize total costs, such as the fixed cost of opening the vaccine station or the cost of medical staff.…”

Section: Location-allocation Models For Pods During Public Health Eme...mentioning

confidence: 99%

A Survey of Location-Allocation of Points of Dispensing During Public Health Emergencies

Alghanmi

Alotaibi

Alshammari

et al. 2022

Front. Public Health

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Public health emergencies such as disease outbreaks and bioterrorism attacks require immediate response to ensure the safety and well-being of the affected community and prevent the further spread of infection. The standard method to increase the efficiency of mass dispensing during health emergencies is to create emergency points called points of dispensing (PODs). PODs are sites for distributing medical services such as vaccines or drugs to the affected population within a specific time constraint. These PODs need to be sited in optimal locations and have people (demand points) assigned to them simultaneously; this is known as the location-allocation problem. PODs may need to be selected to serve the entire population (full allocation) or different priority or needs groups (partial allocation). Several previous studies have focused on location problems in different application domains, including healthcare. However, some of these studies focused on healthcare facility location problems without specifying location-allocation problems or the exact domain. This study presents a survey of the PODs location-allocation problem during public health emergencies. This survey aims to review and analyse the existing models for PODs location-allocation during public health emergencies based on full and partial demand points allocation. Moreover, it compares existing models based on their key features, strengths, and limitations. The challenges and future research directions for PODs location-allocation models are also discussed. The results of this survey demonstrated a necessity to develop a variety of techniques to analyse, define and meet the demand of particular groups. It also proved essential that models be developed for different countries, including accounting for variations in population size and density. Moreover, the model constraints, such as those relating to time or prioritizing certain groups, need to be considered in the solution. Finally, additional comparative studies are required to clarify which methods or models are adequate based on predefined criteria.

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“…They proposed four coverage models to maximize the number of vaccinated residents. Li et al (2020) studied the location-inventory problem for vaccination. A multi-objective mixed-integer nonlinear programming model was proposed to minimize the average travel distances, maximize the number of open vaccination stations, and minimize the total cost, simultaneously.…”

Section: Literature Reviewmentioning

confidence: 99%

On the mass COVID-19 vaccination scheduling problem

Zhang¹,

Cao³

et al. 2022

Computers & Operations Research

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Locate vaccination stations considering travel distance, operational cost, and work schedule

Cited by 26 publications

References 29 publications

Bi-objective optimization for a multi-period COVID-19 vaccination planning problem

Bi-objective optimization for a multi-period COVID-19 vaccination planning problem

A Survey of Location-Allocation of Points of Dispensing During Public Health Emergencies

On the mass COVID-19 vaccination scheduling problem

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