Economic epidemiological modelling: A progress report

Raouf Boucekkine; Shankha Chakraborty; Aditya Goenka; Lin Liu

doi:10.1016/j.jmateco.2024.103011

Economic epidemiological modelling: A progress report

Raouf Boucekkine, Shankha Chakraborty, Aditya Goenka, Lin Liu^*

^*Corresponding author for this work

Economics

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Abstract

Prior to the Covid-19 crisis, the integration of epidemiology and economics that is, economic epidemiology modelling (epi-econ), was relatively limited. The emergence of the Covid-19 crisis has prompted an unprecedented surge in this literature. This paper identifies and develops the main conceptual and modelling challenges involved in the expanding epi-econ stream, with a particular attention to the mathematical issues due, in particular, to the non-convex nature of epi-econ models. Recent extensions are also examined and a few future areas of research highlighted.

Original language	English
Article number	103011
Journal	Journal of Mathematical Economics
Volume	113
Early online date	7 Jun 2024
DOIs	https://doi.org/10.1016/j.jmateco.2024.103011
Publication status	Published - Aug 2024

Keywords

Economic epidemiology
Covid-19
pandemics
infectious diseases
NPI
optimal control
individual behavior

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Economic epidemiological modelling: A progress report",

abstract = "Prior to the Covid-19 crisis, the integration of epidemiology and economics that is, economic epidemiology modelling (epi-econ), was relatively limited. The emergence of the Covid-19 crisis has prompted an unprecedented surge in this literature. This paper identifies and develops the main conceptual and modelling challenges involved in the expanding epi-econ stream, with a particular attention to the mathematical issues due, in particular, to the non-convex nature of epi-econ models. Recent extensions are also examined and a few future areas of research highlighted.",

keywords = "Economic epidemiology, Covid-19, pandemics, infectious diseases, NPI, optimal control, individual behavior",

author = "Raouf Boucekkine and Shankha Chakraborty and Aditya Goenka and Lin Liu",

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language = "English",

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T2 - A progress report

AU - Boucekkine, Raouf

AU - Chakraborty, Shankha

AU - Goenka, Aditya

AU - Liu, Lin

PY - 2024/8

Y1 - 2024/8

N2 - Prior to the Covid-19 crisis, the integration of epidemiology and economics that is, economic epidemiology modelling (epi-econ), was relatively limited. The emergence of the Covid-19 crisis has prompted an unprecedented surge in this literature. This paper identifies and develops the main conceptual and modelling challenges involved in the expanding epi-econ stream, with a particular attention to the mathematical issues due, in particular, to the non-convex nature of epi-econ models. Recent extensions are also examined and a few future areas of research highlighted.

AB - Prior to the Covid-19 crisis, the integration of epidemiology and economics that is, economic epidemiology modelling (epi-econ), was relatively limited. The emergence of the Covid-19 crisis has prompted an unprecedented surge in this literature. This paper identifies and develops the main conceptual and modelling challenges involved in the expanding epi-econ stream, with a particular attention to the mathematical issues due, in particular, to the non-convex nature of epi-econ models. Recent extensions are also examined and a few future areas of research highlighted.

KW - Economic epidemiology

KW - Covid-19

KW - pandemics

KW - infectious diseases

KW - NPI

KW - optimal control

KW - individual behavior

U2 - 10.1016/j.jmateco.2024.103011

DO - 10.1016/j.jmateco.2024.103011

M3 - Article

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VL - 113

JO - Journal of Mathematical Economics

JF - Journal of Mathematical Economics

M1 - 103011

ER -

Economic epidemiological modelling: A progress report

Abstract

Keywords

UN SDGs

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