Models for government intervention during a pandemic

Name: Models for government intervention during a pandemic
Author: Eryarsoy, E., Shahmanzari, Masoud, Tanrisever, F.

İsim	Models for government intervention during a pandemic
Yazar	Eryarsoy, E., Shahmanzari, Masoud, Tanrisever, F.
Basım Tarihi:	2023-01-01
Basım Yeri	- Elsevier
Konu	Heuristics, Optimization, OR in healthcare, Pandemic
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0377-2217
Kayıt Numarası	eb9dc3a8-3c22-4e74-bd20-378483322cb1
Lokasyon	Management Information Systems
Tarih	2023-01-01
Örnek Metin	While intervention policies such as social distancing rules, lockdowns, and curfews may save lives during a pandemic, they impose substantial direct and indirect costs on societies. In this paper, we provide a mathematical model to assist governmental policymakers in managing the lost lives during a pandemic through controlling intervention levels. Our model is non-convex in decision variables, and we develop two heuristics to obtain fast and high-quality solutions. Our results indicate that when anticipated economic consequences are higher, healthcare overcapacity will emerge. When the projected economic costs of the pandemic are large and the illness severity is low, however, a no-intervention strategy may be preferable. As the severity of the infection rises, the cost of intervention climbs accordingly. The death toll also increases with the severity of both the economic consequences of interventions and the infection rate of the disease. Our models suggest earlier mitigation strategies that typically start before the saturation of the healthcare system when disease severity is high.
DOI	10.1016/j.ejor.2021.12.036
Cilt	304

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Models for government intervention during a pandemic

Yazar Eryarsoy, E., Shahmanzari, Masoud, Tanrisever, F.

Basım Tarihi 2023-01-01

Basım Yeri - Elsevier

Konu Heuristics, Optimization, OR in healthcare, Pandemic

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0377-2217

Kayıt Numarası eb9dc3a8-3c22-4e74-bd20-378483322cb1

Lokasyon Management Information Systems

Tarih 2023-01-01

Örnek Metin While intervention policies such as social distancing rules, lockdowns, and curfews may save lives during a pandemic, they impose substantial direct and indirect costs on societies. In this paper, we provide a mathematical model to assist governmental policymakers in managing the lost lives during a pandemic through controlling intervention levels. Our model is non-convex in decision variables, and we develop two heuristics to obtain fast and high-quality solutions. Our results indicate that when anticipated economic consequences are higher, healthcare overcapacity will emerge. When the projected economic costs of the pandemic are large and the illness severity is low, however, a no-intervention strategy may be preferable. As the severity of the infection rises, the cost of intervention climbs accordingly. The death toll also increases with the severity of both the economic consequences of interventions and the infection rate of the disease. Our models suggest earlier mitigation strategies that typically start before the saturation of the healthcare system when disease severity is high.

DOI 10.1016/j.ejor.2021.12.036

Cilt 304