2020
DOI: 10.1016/j.ejor.2019.11.025
|View full text |Cite
|
Sign up to set email alerts
|

Optimal influenza vaccine distribution with equity

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
104
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 127 publications
(104 citation statements)
references
References 57 publications
0
104
0
Order By: Relevance
“…These articles broadly focus on two major areas: (1) allocating resources to increase supply chain capabilities during large-scale disruptions; and (2) redesigning logistics and supply chain networks to reduce vulnerability. In the first area, articles have highlighted resource shortages as a major obstacle during an epidemic ( Enayati and Özaltın, 2020 , Liu et al, 2020 , Parvin et al, 2018 , Rachaniotis et al, 2012 , Savachkin and Uribe, 2012 , Sun et al, 2014 ). Consequently, these studies offered various strategies for allocating minimal or further resources, such as controlling transportation costs and equitable policies ( Savachkin and Uribe, 2012 ); undertaking threshold policy for inventory balancing; optimal area-based trans-shipment policy and planning horizon ( Parvin et al, 2018 ); increasing capacity to manage disruptions ( Hessel, 2009 , Sun et al, 2014 ); implementing cost-sharing contracts ( Mamani et al, 2013 ) or coordinating contracts ( Chick et al, 2008 ); and appropriate capacity setting and the minimum budget ( Liu et al, 2020 ).…”
Section: Review On Prior Epidemic Outbreaks and Disruptions In Supplymentioning
confidence: 99%
“…These articles broadly focus on two major areas: (1) allocating resources to increase supply chain capabilities during large-scale disruptions; and (2) redesigning logistics and supply chain networks to reduce vulnerability. In the first area, articles have highlighted resource shortages as a major obstacle during an epidemic ( Enayati and Özaltın, 2020 , Liu et al, 2020 , Parvin et al, 2018 , Rachaniotis et al, 2012 , Savachkin and Uribe, 2012 , Sun et al, 2014 ). Consequently, these studies offered various strategies for allocating minimal or further resources, such as controlling transportation costs and equitable policies ( Savachkin and Uribe, 2012 ); undertaking threshold policy for inventory balancing; optimal area-based trans-shipment policy and planning horizon ( Parvin et al, 2018 ); increasing capacity to manage disruptions ( Hessel, 2009 , Sun et al, 2014 ); implementing cost-sharing contracts ( Mamani et al, 2013 ) or coordinating contracts ( Chick et al, 2008 ); and appropriate capacity setting and the minimum budget ( Liu et al, 2020 ).…”
Section: Review On Prior Epidemic Outbreaks and Disruptions In Supplymentioning
confidence: 99%
“…They used a fuzzy goal programming approach to solve and validate their model with data collected from Iran’s Avonex distribution chain. Enayati and Özaltın [22] introduced a mathematical programming model for equitable influenza vaccine distribution in a heterogeneous population. Their model minimizes the vaccine doses allocated to subgroups for preventing the disease outbreak at the early stages of the epidemic.…”
Section: Introductionmentioning
confidence: 99%
“…This study proposes a mathematical model for equitable influenza vaccine distribution, similar to Enayati and Özaltın [22] . However, we go one step further and introduce a new concept for equitable vaccine distribution using a customizable objective function applicable to the COVID-19 vaccine.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The epidemiology literature previously recognized the possibility that the nonlinear nature of epidemics may dictate optimal policy concentrating a scarce stockpile in one population rather spreading across them. Keeling and Shattock (2012) provided an early contribution, subsequently refined by work including Keeling and Ross (2015), Nguyen and Carlson (2016), and Enayati and 'Ozaltin (2020). This literature has the advantage of studying increasingly rich epidemiological models, the results are simulated in numerical examples.…”
Section: Introductionmentioning
confidence: 99%