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On optimal lockdown policies while facing socioeconomic costs. / Губар, Елена Алексеевна; Policardo, Laura; Carrera, Edgar J.Sánchez; Тайницкий, Владислав Александрович.

In: Annals of Operations Research, 26.06.2023.

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@article{ba7bb3dea28148fc9d498794404c9ffc,
title = "On optimal lockdown policies while facing socioeconomic costs",
abstract = "The paper analyzes the optimal lockdown policy using the SQAIRD model over a network with three population groups (young, adult, and old). We show that different lockdown policies may be justified by different socioeconomic structures (objective cost functions that are either convex or concave). We also show that a lockdown policy is always better than a laissez-faire policy, and a targeted policy specific to each group outperforms a uniform policy. In our benchmark example, we consider the case of Italy. Our simulations show that: (a) a lockdown policy is always better than the laissez-faire policy because it limits the costs generated by the pandemic in an uncontrolled situation; (b) a group-specific targeted lockout policy is more effective than a uniform policy to the extent that the groups differ. The latter is a less expensive targeted policy (as it optimally minimizes direct, indirect, and vaccination costs), and it is equally effective in controlling the pandemic. One finding of particular interest is that the optimal lockdown rate should be higher for the young and elderly than for adults. This is motivated by the fact that younger individuals are more likely to spread the virus in question asymptomatically.",
keywords = "C73, Convex and concave costs, D90, E19, Epidemic process, I10, O11, Optimal control, Quarantine, SIR model",
author = "Губар, {Елена Алексеевна} and Laura Policardo and Carrera, {Edgar J.S{\'a}nchez} and Тайницкий, {Владислав Александрович}",
year = "2023",
month = jun,
day = "26",
doi = "10.1007/s10479-023-05454-8",
language = "English",
journal = "Annals of Operations Research",
issn = "0254-5330",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - On optimal lockdown policies while facing socioeconomic costs

AU - Губар, Елена Алексеевна

AU - Policardo, Laura

AU - Carrera, Edgar J.Sánchez

AU - Тайницкий, Владислав Александрович

PY - 2023/6/26

Y1 - 2023/6/26

N2 - The paper analyzes the optimal lockdown policy using the SQAIRD model over a network with three population groups (young, adult, and old). We show that different lockdown policies may be justified by different socioeconomic structures (objective cost functions that are either convex or concave). We also show that a lockdown policy is always better than a laissez-faire policy, and a targeted policy specific to each group outperforms a uniform policy. In our benchmark example, we consider the case of Italy. Our simulations show that: (a) a lockdown policy is always better than the laissez-faire policy because it limits the costs generated by the pandemic in an uncontrolled situation; (b) a group-specific targeted lockout policy is more effective than a uniform policy to the extent that the groups differ. The latter is a less expensive targeted policy (as it optimally minimizes direct, indirect, and vaccination costs), and it is equally effective in controlling the pandemic. One finding of particular interest is that the optimal lockdown rate should be higher for the young and elderly than for adults. This is motivated by the fact that younger individuals are more likely to spread the virus in question asymptomatically.

AB - The paper analyzes the optimal lockdown policy using the SQAIRD model over a network with three population groups (young, adult, and old). We show that different lockdown policies may be justified by different socioeconomic structures (objective cost functions that are either convex or concave). We also show that a lockdown policy is always better than a laissez-faire policy, and a targeted policy specific to each group outperforms a uniform policy. In our benchmark example, we consider the case of Italy. Our simulations show that: (a) a lockdown policy is always better than the laissez-faire policy because it limits the costs generated by the pandemic in an uncontrolled situation; (b) a group-specific targeted lockout policy is more effective than a uniform policy to the extent that the groups differ. The latter is a less expensive targeted policy (as it optimally minimizes direct, indirect, and vaccination costs), and it is equally effective in controlling the pandemic. One finding of particular interest is that the optimal lockdown rate should be higher for the young and elderly than for adults. This is motivated by the fact that younger individuals are more likely to spread the virus in question asymptomatically.

KW - C73

KW - Convex and concave costs

KW - D90

KW - E19

KW - Epidemic process

KW - I10

KW - O11

KW - Optimal control

KW - Quarantine

KW - SIR model

UR - https://www.mendeley.com/catalogue/4902032f-0888-3212-84cf-b26ae2da41d5/

U2 - 10.1007/s10479-023-05454-8

DO - 10.1007/s10479-023-05454-8

M3 - Article

JO - Annals of Operations Research

JF - Annals of Operations Research

SN - 0254-5330

ER -

ID: 110724828