Data and Code for COVID-19 spread, detection, and dynamics in a megacity in Latin America

Principal Investigator(s):  View help for Principal Investigator(s) Rachid Laajaj, University of Los Andes, Bogotá, Colombia; Camilo De Los Rios, Inter-American Development Bank, Washington D.C, United States; Ignacio Sarmiento-Barbieri, University of Los Andes, Bogotá, Colombia; Danilo Aristizabal, University of Los Andes, Bogotá, Colombia; Eduardo Behrentz, University of Los Andes, Bogotá, Colombia; Raquel Bernal, University of Los Andes, Bogotá, Colombia; Giancarlo Buitrago, Universidad Nacional de Colombia, Bogotá, Colombia and Hospital Universitario Nacional de Colombia, Bogotá, Colombia; Zulma Cucunubá, Imperial College London, London, UK and Universidad Pontificia Javeriana, Bogotá, Colombia; Fernando de la Hoz, Universidad Nacional de Colombia, Bogotá, Colombia; Alejandro Gaviria, University of Los Andes, Bogotá, Colombia; Luis Jorge Hernández, University of Los Andes, Bogotá, Colombia; Leonardo León, University of Los Andes, Bogotá, Colombia; Diane Moyano, Secretaria de Salud de Bogotá, Bogotá, Colombia; Elkin Osorio, Secretaria de Salud de Bogotá, Bogotá, Colombia; Andrea Ramírez Varela, University of Los Andes, Bogotá, Colombia; Silvia Restrepo, University of Los Andes, Bogotá, Colombia; Rodrigo Rodriguez, Secretaria de Salud de Bogotá, Bogotá, Colombia; Norbert Schady, Inter-American Development Bank, Washington D.C, United States; Martha Vives, University of Los Andes, Bogotá, Colombia; Duncan Webb, Paris School of Economics, Paris, France

Version:  View help for Version V1

Name File Type Size Last Modified
  spread_detection_and_dynamics_CoVIDA-main 06/09/2021 11:23:AM

Project Citation: 

Laajaj, Rachid, De Los Rios, Camilo , Sarmiento-Barbieri, Ignacio, Aristizabal, Danilo, Behrentz, Eduardo, Bernal, Raquel , … Webb, Duncan. Data and Code for COVID-19 spread, detection, and dynamics in a megacity in Latin America. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-06-09. https://doi.org/10.3886/E142121V1

Project Description

Summary:  View help for Summary We implemented a COVID-19 sentinel surveillance study with 59,770 RT-PCR tests on mostly asymptomatic individuals and combine this data with administrative records on all detected cases to capture the spread and dynamics of the COVID-19 pandemic in Bogotá from June 2020 to early March 2021. We describe various features of the pandemic that appear to be specific to a developing-country context. We find that, by March 2021, slightly more than half of the population in Bogotá has been infected, despite only a small fraction of this population being detected. The initial buildup of immunity contributed to the containment of the pandemic in the first and second waves. We also show that the share of the population infected by March 2021 varies widely by occupation, socio-economic stratum, and location. This, in turn, has affected the dynamics of the spread with different groups being infected in the two waves.




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V1 [2021-06-09]

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