SARS-CoV-2 spread, detection, And dynamics in a megacity in Latin America
In many developing countries, the COVID-19 pandemic has spread much faster and wider than the number of detected cases implies. By combining data from 59,770 RT-PCR tests on mostly asymptomatic individuals with administrative data on all detected cases, we capture the spread and dynamics of the COVI...
- Autores:
-
Laajaj, Rachid
De Los Rios, Camilo
Sarmiento-Barbieri, Ignacio
Aristizabal, Danilo
Behrentz, Eduardo
Bernal, Raquel
Buitrago, Giancarlo
Cucunubá, Zulma
de la Hoz, Fernando
Gaviria, Alejandro
Hernández, Luis Jorge
León, Leonardo
Moyano, Diane
Osorio, Elkin
Ramírez Varela, Andrea
Restrepo, Silvia
Rodríguez, Rodrigo
Schady, Norbert
Vives, Martha
Webb, Duncan
- Tipo de recurso:
- Work document
- Fecha de publicación:
- 2021
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/49763
- Acceso en línea:
- http://hdl.handle.net/1992/49763
- Palabra clave:
- SARS-CoV-2
COVID-19
CoVIDA
Latin America
I14, I15, I18, O54
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | In many developing countries, the COVID-19 pandemic has spread much faster and wider than the number of detected cases implies. By combining data from 59,770 RT-PCR tests on mostly asymptomatic individuals with administrative data on all detected cases, we capture the spread and dynamics of the COVID-19 pandemic in Bogotá from June 2020 to early March 2021. Our data provide unusually broad and detailed information on mostly asymptomatic adults in Bogotá, allowing to describe various features of the pandemic that appear to be specific to a developing country context. We find that, by the end of March 2021, slightly more than half of the population in Bogotá has been infected, despite only a small fraction of this population being detected. In July 2020, after four months of generalized quarantine that mitigated the pandemic without curving it, the initial buildup of immunity contributed to the end of the first wave. We also show that the share of the population infected by February 2021 varies widely by occupation, socio-economic stratum, and location. This, in turn, has affected the dynamics of the spread: while the first wave of infections was driven by the lowest economic strata and highly-exposed occupations, the second peak affected the population more evenly. A better understanding of the spread and dynamics of the pandemic across different groups provides valuable guidance for eficient targeting of health policy measures and restrictions. |
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