Optimal resource allocation response to a smallpox outbreak

Ren, Yingtao; Ordóñez, Fernando; Wu, Shinyi

doi:10.1016/j.cie.2013.07.002

Cited by 42 publications

(29 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in this case, some of the budget may be wasted, and no obvious effects are brought out by providing additional capacity to a region based solely on its population. This result shows that allocating treatment resources proportional to population is sub-optimal, which is also consistent with the findings of Ren et al (2013). When the capacity equity constraint is relaxed, the number of infections and funerals in Guinea and Liberia is slightly changed, but this number decreased significantly for Sierra Leone, and the total three countries.…”

Section: Impacts Of Equity Considerationssupporting

confidence: 87%

“…While the disease transmission rates are highly uncertain, relatively fewer studies in the OR community take into account the uncertain parameters for resource allocation in an effort to control the disease. Those OR models that integrate resource allocation with epidemics control use either stochastic dynamic programming (SDP), partially observable Markov decision process (POMDP) framework (Suen et al, 2018) or two-stage stochastic programming (Coşgun and Büyüktahtakın, 2018; Long et al, 2018; Ren et al, 2013; Tanner et al, 2008; Yarmand et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations

Yin

Büyüktahtakın

2021

Preprint

View full text Add to dashboard Cite

Existing compartmental models in epidemiology are limited in terms of optimizing the resource allocation to control an epidemic outbreak under disease growth uncertainty. In this study, we address this core limitation by presenting a multi-stage stochastic programming compartmental model, which integrates the uncertain disease progression and resource allocation to control an infectious disease outbreak. The proposed multi-stage stochastic program involves various disease growth scenarios and optimizes the distribution of treatment centers and resources while minimizing the total expected number of new infections and funerals. We define two new equity metrics, namely infection and capacity equity, and explicitly consider equity for allocating treatment funds and facilities over multiple time stages. We also study the multistage value of the stochastic solution (VSS), which demonstrates the superiority of the proposed stochastic programming model over its deterministic counterpart. We apply the proposed formulation to control the Ebola Virus Disease (EVD) in Guinea, Sierra Leone, and Liberia of West Africa to determine the optimal and fair resource-allocation strategies. Our model balances the proportion of infections over all regions, even without including the infection equity or prevalence equity constraints. Model results also show that allocating treatment resources proportional to population is sub-optimal, and enforcing such a resource allocation policy might adversely impact the total number of infections and deaths, and thus resulting in a high cost that we have to pay for the fairness. Our multi-stage stochastic epidemic-logistics model is practical and can be adapted to control other infectious diseases in meta-populations and dynamically evolving situations.

show abstract

Section: Impacts Of Equity Considerationssupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations

Yin

Büyüktahtakın

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Chen, Alain, and Angel (2016) proposed a model which linked the disease progression, the related medical intervention actions and the logistics deployment together to help crisis managers extract crucial insights on emergency logistics management from a strategic standpoint. Ren et al (2013) presented a multi-city resource-allocation model to distribute a limited amount of vaccine to minimise the total number of fatalities due to a smallpox outbreak. He and Liu (2015) proposed a time-varying forecasting model based on a modified SEIR model and used an LP model to facilitate distribution decision-making for quick responses to public health emergencies.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated planning for public health emergencies: A modified model for controlling H1N1 pandemic

Liu

Cao

et al. 2019

Journal of the Operational Research Society

View full text Add to dashboard Cite

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 problem to be a mixed-integer non-linear programming model (MINLP) and simultaneously determine when to open the new isolated wards and when to close the unused isolated wards. The test results reveal that our model could provide effective suggestions for controlling the H1N1 outbreak, including the appropriate capacity setting and the minimum budget required with different intervention start times.

show abstract

“…Another stream of research involves resource allocation problems associated with the rapid spread of infectious diseases (Brandeau et al, 2003;Pietz et al, 2009;Ren et al, 2013;Mamani et al, 2013). Based on these studies, our study considers the following features.…”

Section: (3) Panic Psychologymentioning

confidence: 99%

Post-disaster evacuation and temporary resettlement considering panic and panic spread

Sheu

Xiao

2014

Transportation Research Part B: Methodological

View full text Add to dashboard Cite

Optimal resource allocation response to a smallpox outbreak

Cited by 42 publications

References 23 publications

A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations

A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations

Integrated planning for public health emergencies: A modified model for controlling H1N1 pandemic

Post-disaster evacuation and temporary resettlement considering panic and panic spread

Contact Info

Product

Resources

About