Developing a national pandemic vaccination calendar under supply uncertainty

Name: Developing a national pandemic vaccination calendar under supply uncertainty
Author: Karakaya, Sırma, Koyuncu, Burcu Balçık

İsim	Developing a national pandemic vaccination calendar under supply uncertainty
Yazar	Karakaya, Sırma, Koyuncu, Burcu Balçık
Basım Tarihi:	2024-04
Basım Yeri	- Elsevier
Konu	Operations research for pandemic response, Vaccine, COVID-19, Scheduling, Stochastic programming
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0305-0483
Kayıt Numarası	74450623-d2cf-49a2-9923-6d665b0cffe1
Lokasyon	Industrial Engineering
Tarih	2024-04
Notlar	Research Council of Norway
Örnek Metin	During the COVID-19 pandemic, many countries faced challenges in developing and maintaining a reliable national pandemic vaccination calendar due to vaccine supply uncertainty. Deviating from the initial calendar due to vaccine delivery delays eroded public trust in health authorities and the government, hindering vaccination efforts. Motivated by these challenges, we address the problem of developing a long-term national pandemic vaccination calendar under supply uncertainty. We propose a novel two-stage mixed integer programming model that considers critical factors such as multiple doses, varying dosing schemes, and uncertainties in vaccine delivery timing and quantity. We present an efficient aggregation-based algorithm to solve this complex problem. Additionally, we extend our model to allow for dynamic adjustments to the vaccine schedule in response to mandatory policy changes, such as modifications to dose intervals, during ongoing vaccinations. We validate our model based on a case study developed by using real COVID-19 vaccination data from Norway. Our results demonstrate the advantages of the proposed stochastic optimization approach and heuristic algorithm. We also present valuable managerial insights through extensive numerical analysis, which can aid public health authorities in preparing for future pandemics.
DOI	10.1016/j.omega.2023.103001
Cilt	124

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Developing a national pandemic vaccination calendar under supply uncertainty

Yazar Karakaya, Sırma, Koyuncu, Burcu Balçık

Basım Tarihi 2024-04

Basım Yeri - Elsevier

Konu Operations research for pandemic response, Vaccine, COVID-19, Scheduling, Stochastic programming

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0305-0483

Kayıt Numarası 74450623-d2cf-49a2-9923-6d665b0cffe1

Lokasyon Industrial Engineering

Tarih 2024-04

Notlar Research Council of Norway

Örnek Metin During the COVID-19 pandemic, many countries faced challenges in developing and maintaining a reliable national pandemic vaccination calendar due to vaccine supply uncertainty. Deviating from the initial calendar due to vaccine delivery delays eroded public trust in health authorities and the government, hindering vaccination efforts. Motivated by these challenges, we address the problem of developing a long-term national pandemic vaccination calendar under supply uncertainty. We propose a novel two-stage mixed integer programming model that considers critical factors such as multiple doses, varying dosing schemes, and uncertainties in vaccine delivery timing and quantity. We present an efficient aggregation-based algorithm to solve this complex problem. Additionally, we extend our model to allow for dynamic adjustments to the vaccine schedule in response to mandatory policy changes, such as modifications to dose intervals, during ongoing vaccinations. We validate our model based on a case study developed by using real COVID-19 vaccination data from Norway. Our results demonstrate the advantages of the proposed stochastic optimization approach and heuristic algorithm. We also present valuable managerial insights through extensive numerical analysis, which can aid public health authorities in preparing for future pandemics.

DOI 10.1016/j.omega.2023.103001

Cilt 124