Emergency supply chain management for controlling a smallpox outbreak: the case for regional mass vaccination

Dasaklis, Thomas K.; Rachaniotis, Nikolaos P.; Pappis, Costas P.

doi:10.1080/23302674.2015.1126379

Cited by 41 publications

(40 citation statements)

References 46 publications

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“…Note that although there are several papers that study the integration of epidemic control and logistics planning in recent 5 years (i.e., Chen et al, 2016;Dasaklis et al, 2016;He & Liu, 2015;Liu & Zhang, 2016), many of them divide the continuous time into several independent decisionmaking periods and update forecasting for the number of infected individuals at the beginning of each period. Thus in essentially, the epidemic compartment model and the planning model are still independent from each other.…”

Section: Resultsmentioning

confidence: 99%

“…Rachaniotis, Dasaklis, and Pappis (2012) proposed a deterministic resource scheduling model in H1N1 control. The problem of scheduling limited available resource for several areas was presented: a case where a large-scale smallpox attack was considered in Dasaklis, Rachaniotis, and Pappis (2016). A linear programming (LP) model for optimally distributing a predetermined vaccine stockpile to several affected subpopulations was presented.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

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

Liu

Cao

et al. 2019

Journal of the Operational Research Society

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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.

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Section: Resultsmentioning

confidence: 99%

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

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“…The research findings recommend adopting a classification-based approach to assist strategic decision-making in the supply chain linked to inventory management. The suggested an incorporated quick response management model containing transmission of infectious diseases and logistics planning [18]. This paper reflects smallpox attack by large scale measures.…”

Section: J Chakravarthy P Hakkim Devan Mydeen M Seenivasanmentioning

confidence: 99%

Methodological Development of Mathematical Modeling Techniques in Health Care

Seenivasan*,

Chakravarthy,

Mydeen

2020

IJITEE

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The advancement of mathematical model has utilized for simulating the output of medical is a development area over medicine whereas the modeling can be mentioned with several activities namely simulation or decision analysis and predictive modeling. However, the traditional modeling technique utilized in planning of health service, assessment reports and its efficiency, financing about health care and assessment in budget impact, assessment in health economics, surveillance of infectious disease and other health care application. Therefore, the mathematical modelling is performed as a frequent and timely benefit in order to make rapid decision making while facing investigation with several issues like time elapsing, unusual and unethical particularly projected for future. This paper focused in applying the mathematical modeling to accomplish an optimal decision making in healthcare whereas this study discuss about the specific modeling concepts namely decision tree and fuzzified rule tables on evaluation of health economics and better service planning that my replicate the individual experience or patients cohorts.

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“…The results of the study suggest adoption of a strategy based on classifications to aid strategic supply chain decisions related to inventory management. Dasaklis et al (2017) propose an integrated model for rapid response management including logistics planning and infectious disease transmissions. The paper considers a large-scale deliberate smallpox attack.…”

Section: Modelling and Simulation In Health Care Systemsmentioning

confidence: 99%