Impact of Urbanization and Labor Vulnerability over the COVID-19 Dynamic across Countries: A survival analysis

Delgado Narro, Augusto Ricardo (2020): Impact of Urbanization and Labor Vulnerability over the COVID-19 Dynamic across Countries: A survival analysis.

Abstract

This study analyzes the evolution of daily recorded cases of COVID-19 among all countries. In more detail, using survival models, we study the average duration of the increase of cases of COVID-19 before reaching its maximum and reduce the number of infected daily. Additionally, we incorporate dummies to control the levels of urbanization and labor vulnerability as the main control variables. Among the main results, we observed that countries with 50\% of the population living in urban areas tend to have more extended periods of infection before reaching their maximum levels and entering a plateau. Besides, the vulnerability variable ends up not being significant by itself. Still, in interaction with the urbanization variable, we observe that countries with high levels of urbanization and high levels of vulnerable employment reach the maximum infection level earlier than other countries.

• Item Type: MPRA Paper
• Language: English
• Keywords: COVID-19, Urbanization, Labor vulnerability
• Subjects: C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C41 - Duration Analysis ; Optimal Timing Strategies; E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E29 - Other; P - Economic Systems > P2 - Socialist Systems and Transitional Economies > P25 - Urban, Rural, and Regional Economics

References

Bassan, B., R. Marcus, I. Meilijson, and H. Talpaz(1997): “Parameter esti-mation in differential equations, using random time transformations,”Journal of theItalian Statistical Society, 6, 177–199.Cox, D. R.(1992): “Regression Models and Life-Tables,” inSpringer Series in Statis-tics, Springer New York, 527–541.Friedman, J., P. Liu, E. Gakidou, and(2020): “Predictive performance of inter-national COVID-19 mortality forecasting models,”medRxiv, 1–15.Ham, J. C. and S. A. Rea(1987): “Unemployment Insurance and Male Unemploy-ment Duration in Canada,”Journal of Labor Economics, 5, 325–353.17 Jin, J.-M., P. Bai, W. He, F. Wu, X.-F. Liu, D.-M. Han, S. Liu, and J.-K.Yang(2020): “Gender Differences in Patients With COVID-19: Focus on Severityand Mortality,”Frontiers in Public Health, 8, 1–6.Kaplan, E. L. and P. Meier(1958): “Nonparametric Estimation from IncompleteObservations,”Journal of the American Statistical Association, 53, 457–481.Kundu, S., Kirti, and D. Mandal(2020): “A Study on Survival Scenario of COVID-19 patients in India: An Application of Survival Analysis on patient demographics,”1–15.Meilijson, I. and N. Alon(2020): “Random time transformation analysis of Covid192020,” 1–15.Mittelb ̈ock, M.(2004): “Book Review: Survival Analysis: Techniques for Censoredand Truncated Data. By John P. Klein and Melvin L. Moeschberger,”BiometricalJournal, 46, 379–379.Nemati, M., J. Ansary, and N. Nemati(2020): “Machine-Learning Approachesin COVID-19 Survival Analysis and Discharge-Time Likelihood Prediction UsingClinical Data,”Patterns, 1, 1–8.Riffenburgh, R.(2012): “Survival, Logistic Regression, and Cox Regression,” inStatistics in Medicine, Elsevier, 491–508.Salinas-Escudero, G., M. F. Carrillo-Vega, V. Granados-Garc ́ıa,S. Mart ́ınez-Valverde, F. Toledano-Toledano, and J. Gardu ̃no-Espinosa(2020): “A survival analysis of COVID-19 in the Mexican population,”ResearchSquare, 1–13.Sousa, G. J. B., T. S. Garces, V. R. F. Cestari, R. S. Florˆencio, T. M. M.Moreira, and M. L. D. Pereira(2020): “Mortality and survival of COVID-19,”Epidemiology and Infection, 148, 1–6.18 Wang, Z., J. S. Ji, Y. Liu, R. Liu, Y. Zha, X. Chang, L. Zhang, Y. Zhang,J. Zeng, T. Dong, X. Xu, L. Zhou, J. He, Y. Deng, B. Zhong, and X. Wu(2020): “Survival analysis of hospital length of stay of novel coronavirus (COVID-19)pneumonia patients in Sichuan, China,” 1–16.Zhao, Y. and D. Dilip(2020): “Survival Analysis of COVID-19 on Democracy withCox Proportional Hazards Model,” 1–7.