IDEAS home Printed from https://ideas.repec.org/p/col/000089/019152.html
   My bibliography  Save this paper

SARS-CoV-2 spread, detection, and dynamics in a megacity in Latin America

Author

Listed:
  • Rachid Laajaj
  • Camilo De Los Rios
  • Ignacio Sarmiento-Barbieri
  • Danilo Aristizabal
  • Eduardo Behrentz
  • Raquel Berna
  • Giancarlo Buitrago
  • Zulma Cucunubá

Abstract

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 efficient targeting of health policy measures and restrictions.

Suggested Citation

  • Rachid Laajaj & Camilo De Los Rios & Ignacio Sarmiento-Barbieri & Danilo Aristizabal & Eduardo Behrentz & Raquel Berna & Giancarlo Buitrago & Zulma Cucunubá, 2021. "SARS-CoV-2 spread, detection, and dynamics in a megacity in Latin America," Documentos CEDE 19152, Universidad de los Andes, Facultad de Economía, CEDE.
  • Handle: RePEc:col:000089:019152
    as

    Download full text from publisher

    File URL: https://repositorio.uniandes.edu.co/bitstream/handle/1992/49763/dcede2021-18.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Laura Alfaro & Oscar Becerra & Marcela Eslava, 2020. "EMEs and COVID-19: Shutting Down in a World of Informal and Tiny Firms," NBER Working Papers 27360, National Bureau of Economic Research, Inc.
    2. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    3. Angelucci, Manuela & Angrisani, Marco & Bennett, Daniel M & Kapteyn, Arie & Schaner, Simone G., 2020. "Remote Work and the Heterogeneous Impact of COVID-19 on Employment and Health," IZA Discussion Papers 13620, Institute of Labor Economics (IZA).
    4. Joe Hilton & Matt J Keeling, 2020. "Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-10, July.
    5. Ewen Callaway, 2021. "Fast-spreading COVID variant can elude immune responses," Nature, Nature, vol. 589(7843), pages 500-501, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniela Del Boca & Noemi Oggero & Paola Profeta & Maria Cristina Rossi, 2021. "Did COVID-19 Affect the Division of Labor within the Household? Evidence from Two Waves of the Pandemic in Italy," Working Papers 2021-043, Human Capital and Economic Opportunity Working Group.
    2. Cesar Salinas, 2021. "Epidemics and Informality in Developing Countries," CAEPR Working Papers 2021-002 Classification-E, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    3. Rachid Laajaj & Duncan Webb & Danilo Aristizabal & Eduardo Behrentz & Raquel Bernal & Giancarlo Buitrago & Zulma Cucunubá & Fernando de la Hoz, 2021. "Understanding how socioeconomic inequalities drive inequalities in SARS-CoV-2 infections," Documentos CEDE 19241, Universidad de los Andes, Facultad de Economía, CEDE.
    4. Gianni De Fraja & Jesse Matheson & James Rockey, 2020. "Zoomshock: The geography and local labour market consequences of working from home," Discussion Papers 20-31, Department of Economics, University of Birmingham.
    5. Cem Çakmaklı & Selva Demiralp & Ṣebnem Kalemli-Özcan & Sevcan Yesiltas & Muhammed A. Yildirim, 2020. "COVID-19 and Emerging Markets: A SIR Model, Demand Shocks and Capital Flows," NBER Working Papers 27191, National Bureau of Economic Research, Inc.
    6. Muhammed A. Yildirim & Cem Cakmakli & Selva Demiralp & Sebnem Kalemli-Ozcan & Sevcan Yesiltas, 2021. "The Economic Case for Global Vaccinations: An Epidemiological Model with International Production Networks," CID Working Papers 390, Center for International Development at Harvard University.
    7. Didier, Tatiana & Huneeus, Federico & Larrain, Mauricio & Schmukler, Sergio L., 2021. "Financing firms in hibernation during the COVID-19 pandemic," Journal of Financial Stability, Elsevier, vol. 53(C).
    8. L'aszl'o Czaller & GergH{o} T'oth & Bal'azs Lengyel, 2021. "Vaccine allocation to blue-collar workers," Papers 2104.04639, arXiv.org.
    9. Pizzinelli, Carlo & Shibata, Ippei, 2023. "Has COVID-19 induced labor market mismatch? Evidence from the US and the UK," Labour Economics, Elsevier, vol. 81(C).
    10. Gustavo Leyva & Carlos Urrutia, 2023. "Informal Labor Markets in Times of Pandemic," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 158-185, January.
    11. Tri Nguyen-Huu & Pierre Auger & Ali Moussaoui, 2023. "On Incidence-Dependent Management Strategies against an SEIRS Epidemic: Extinction of the Epidemic Using Allee Effect," Mathematics, MDPI, vol. 11(13), pages 1-25, June.
    12. Martyna Joanna Surma & Richard Joseph Nunes & Caroline Rook & Angela Loder, 2021. "Assessing Employee Engagement in a Post-COVID-19 Workplace Ecosystem," Sustainability, MDPI, vol. 13(20), pages 1-20, October.
    13. Lei Ding & Julieth Saenz Molina, 2020. "“Forced Automation” by COVID-19? Early Trends from Current Population Survey Data," Community Affairs Discussion Paper 88713, Federal Reserve Bank of Philadelphia.
    14. Marcela Eslava & Oscar Becerra & Juan Camilo Cárdenas & Margarita Isaacs & Daniel Mejía, 2019. "The socioeconomic patterns of COVID outside advanced economies: the case of Bogotá," Documentos CEDE 18525, Universidad de los Andes, Facultad de Economía, CEDE.
    15. Leyva Gustavo & Urrutia Carlos, 2021. "Informal Labor Markets in Times of Pandemic: Evidence for Latin America and Policy Options," Working Papers 2021-21, Banco de México.
    16. Couch, Kenneth A. & Fairlie, Robert W. & Xu, Huanan, 2020. "Early evidence of the impacts of COVID-19 on minority unemployment," Journal of Public Economics, Elsevier, vol. 192(C).
    17. Jacek Rothert, 2020. "Optimal federal redistribution during the uncoordinated response to a pandemic," Departmental Working Papers 64, United States Naval Academy Department of Economics.
    18. Piotr Lewandowski & Katarzyna Lipowska & Mateusz Smoter, 2022. "Working from home during a pandemic – a discrete choice experiment in Poland," IBS Working Papers 03/2022, Instytut Badan Strukturalnych.
    19. Lee, Munseob & Finerman, Rachel, 2021. "COVID-19, commuting flows, and air quality," Journal of Asian Economics, Elsevier, vol. 77(C).
    20. Bart Roelofs & Dimitris Ballas & Hinke Haisma & Arjen Edzes, 2022. "Spatial mobility patterns and COVID‐19 incidence: A regional analysis of the second wave in the Netherlands," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S1), pages 21-40, November.

    More about this item

    Keywords

    SARS-CoV-2; COVID-19; CoVIDA; América Latina;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000089:019152. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Universidad De Los Andes-Cede (email available below). General contact details of provider: https://edirc.repec.org/data/ceandco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.