Understanding How Socioeconomic Inequalities Drive Inequalities in COVID-19 Infections
Copyright policy )Understanding How Socioeconomic Inequalities Drive Inequalities in COVID-19 Infections
AbstractAcross the world, the COVID-19 pandemic has disproportionately affected economically disadvantaged groups. This differential impact has numerous possible explanations, each with significantly different policy implications. We examine, for the first time in a low- or middle-income country, which mechanisms best explain the disproportionate impact of the virus on the poor. Combining an epidemiological model with rich data from Bogotá, Colombia, we show that total infections and inequalities in infections are largely driven by inequalities in the ability to work remotely and in within-home secondary attack rates. Inequalities in isolation behavior are less important but non-negligible, while access to testing and contract-tracing plays practically no role because it is too slow to contain the virus. Interventions that mitigate transmission are often more effective when targeted on socioeconomically disadvantaged groups.
- Imperial College London United Kingdom
- Universidad de los Andes Colombia
- Universidad de Los Andes Colombia
- Paris School of Economics France
- Universidad de Los Andes Colombia
Economics, Social Sciences, Infectious disease (medical specialty), FOS: Health sciences, Social psychology, Social Distancing, Demographic economics, Sociology, Psychological intervention, Pathology, Psychology, Disease, Disadvantaged, Psychiatry, Modeling the Dynamics of COVID-19 Pandemic, Q, R, FOS: Sociology, FOS: Psychology, Clinical Psychology, Economics, Econometrics and Finance, Policy, Infectious Diseases, Environmental health, Counterfactual thinking, Health, Modeling and Simulation, Physical Sciences, Socioeconomic status, Income, Medicine, Coronavirus Infections, Economics and Econometrics, Science, Population, Coronavirus Disease 2019 Research, Mathematical analysis, Article, Betacoronavirus, Impacts of COVID-19 on Global Economy and Markets, Virology, Health Sciences, FOS: Mathematics, Humans, Pandemics, Economic growth, Demography, Pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID-19, Outbreak, Coronavirus disease 2019 (COVID-19), Socioeconomic Factors, Inequality, Impact of COVID-19 on Mental Health, Factors Affecting Vaccine Hesitancy and Acceptance, 2019-20 coronavirus outbreak, Mathematics
Economics, Social Sciences, Infectious disease (medical specialty), FOS: Health sciences, Social psychology, Social Distancing, Demographic economics, Sociology, Psychological intervention, Pathology, Psychology, Disease, Disadvantaged, Psychiatry, Modeling the Dynamics of COVID-19 Pandemic, Q, R, FOS: Sociology, FOS: Psychology, Clinical Psychology, Economics, Econometrics and Finance, Policy, Infectious Diseases, Environmental health, Counterfactual thinking, Health, Modeling and Simulation, Physical Sciences, Socioeconomic status, Income, Medicine, Coronavirus Infections, Economics and Econometrics, Science, Population, Coronavirus Disease 2019 Research, Mathematical analysis, Article, Betacoronavirus, Impacts of COVID-19 on Global Economy and Markets, Virology, Health Sciences, FOS: Mathematics, Humans, Pandemics, Economic growth, Demography, Pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID-19, Outbreak, Coronavirus disease 2019 (COVID-19), Socioeconomic Factors, Inequality, Impact of COVID-19 on Mental Health, Factors Affecting Vaccine Hesitancy and Acceptance, 2019-20 coronavirus outbreak, Mathematics
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