2019
DOI: 10.1080/01605682.2019.1582589
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Integrated planning for public health emergencies: A modified model for controlling H1N1 pandemic

Abstract: Infectious disease outbreaks have occurred many times in the past decades and are more likely to occur in the future. Recently, B€ uy€ uktahtakin et al. (2018) proposed a new epidemics-logistics model to control the 2014 Ebola outbreak in West Africa. Considering that different diseases have dissimilar diffusion dynamics and can cause different public health emergencies, we modify the proposed model by changing capacity constraint, and then apply it to control the 2009 H1N1 outbreak in China. We formulate the … Show more

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Cited by 50 publications
(30 citation statements)
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“…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%
“…The authors find that their model is valid and propose that more resources should be allocated to treatment and "isolation". After that, Liu et al (2020) modify the model by Büyüktahtakin et al (2018) by changing the capacity constraint and the authors actually explore a very similar problem.…”
Section: During Pandemicmentioning
confidence: 99%
“…They validated the performance of the model using the case of the 2014–2015 Ebola outbreak in Guinea, Liberia, and Sierra Leone. When considering that different diseases have dissimilar diffusion dynamics and can cause different public health emergencies, Liu et al [ 21 ] modified that model by changing capacity constraint, and then applied it to control the 2009 H1N1 outbreak in China. Syahrir et al [ 22 ] used the SEIR model to predict the amount of drug supplies in hospitals during the outbreak of dengue fever, in order to manage and determine the satisfactory amount of drug supplies in the hospital to handle patients who are indicated and infected with dengue quickly and precisely.…”
Section: Related Workmentioning
confidence: 99%