Dryad
Published April 7, 2022 | Version v1
Dataset Open

Data from: SARS-CoV-2 antibody dynamics in blood donors and COVID-19 epidemiology in eight Brazilian state capitals

Authors/Creators

  • 1. Universidade de Sao Paulo
  • 2. Imperial College London
  • 3. Faculdade de Ciências Médicas de Minas Gerais
  • 4. Universidade Federal do ABC
  • 5. Institute of Applied Economic Research
  • 6. Oswaldo Cruz Foundation
  • 7. Fundação Pró-Sangue Hemocentro de São Paulo
  • 8. Centro de Hematologia e Hemoterapia do Paraná*
  • 9. Fundação Hospitalar de Hematologia e Hemoterapia do Amazonas
  • 10. Fundação Hospitalar de Hematologia e Hemoterapia da Bahia*
  • 11. Centro de Hematologia e Hemoterapia do Ceará*
  • 12. Fundação Centro de Hematologia e Hemoterapia de Minas Gerais
  • 13. Fundação de Hematologia e Hemoterapia de Pernambuco*
  • 14. Instituto Estadual de Hematologia Arthur de Siqueira Cavalcanti*
  • 15. Instituto Estadual de Hematologia Arthur de Siqueira C*
  • 16. Fundação Centro de Hematologia e Hemoterapia de Minas Gerais*
  • 17. Vitalant Research Institute*
  • 18. Harvard University
  • 19. University of Oxford

Description

The COVID-19 situation in Brazil is complex due to large differences in the shape and size of regional epidemics. Here we tested monthly blood donation samples for IgG antibodies from March 2020 to March 2021 in eight of Brazil's most populous cities. The inferred attack rate of SARS-CoV-2 adjusted for seroreversion in December 2020, before the Gamma VOC was dominant, ranged from 19.3% (95% CrI 17.5% - 21.2%) in Curitiba to 75.0% (95% CrI 70.8% - 80.3%) in Manaus. Seroprevalence was consistently smaller in women and donors older than 55 years. The age-specific infection fatality rate (IFR) differed between cities and consistently increased with age. The infection hospitalisation rate (IHR) increased significantly during the Gamma-dominated second wave in Manaus, suggesting increased morbidity of the Gamma VOC compared to previous variants circulating in Manaus. The higher disease penetrance associated with the health system's collapse increased the overall IFR by a minimum factor of 2.91 (95% CrI 2.43 – 3.53). These results highlight the utility of blood donor serosurveillance to track epidemic maturity and demonstrate demographic and spatial heterogeneity in SARS-CoV-2 spread.

Notes

This repository contains four datasets:

1) Bloodbank.csv: The longitudinal cohort containing the tested blood samples used to estimate the seroprevalence in the eight cities.
2) repeat_blood_donors.csv: The cohort of repeat blood donors used to estimate the probability distribution of the time-to-seroreversion.
3) convalescent_plasma_longitudinal_roche.csv: Convalescent plasma donors used to estimate the sensitivity of the assay.
4) prepandemic_cohort.csv: The pre-pandemic blood donors cohort, containing samples tested in February 2020 in São Paulo.

In all files, each row represents a tested blood sample. Information as exact age, education level and declared race were removed to ensure data are anonymized. For the same reason, dates of sample collection were substituted by the corresponding week numbers, and the date of onset was substituted by the time interval between the date of sample collection and the date of onset in the convalescent plasma donors dataset.

See data_dictionary.pdf for the data dictionary.

Funding provided by: Itaú Unibanco "Todos pela Saúde"*
Crossref Funder Registry ID:
Award Number:

Funding provided by: Medical Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001807
Award Number: MR/S0195/1

Funding provided by: Medical Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000265
Award Number: MR/V038109/1

Funding provided by: Fundação de Amparo à Pesquisa do Estado de São Paulo
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001807
Award Number: 18/14389-0

Funding provided by: Wellcome Trust and Royal Society Sir Henry Dale Fellowship*
Crossref Funder Registry ID:
Award Number: 204311/Z/16/Z

Funding provided by: Gates Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000865
Award Number: INV- 034540; INV-034652

Funding provided by: National Heart, Lung, and Blood Institute
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000050
Award Number: HHSN268201100007I

Funding provided by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002322
Award Number: Finance Code 001

Funding provided by: CNPq
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003593
Award Number: 304714/2018-6

Funding provided by: PROGRAMA INOVA FIOCRUZ-CE/Funcap, Edital 01/2020*
Crossref Funder Registry ID:
Award Number: FIO-0167-00065.01.00/20 SPU Nº 06531047/2020

Funding provided by: JBS*
Crossref Funder Registry ID:
Award Number:

Funding provided by: Fundação de Amparo à Pesquisa do Estado de São Paulo
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001807
Award Number: 2019/21858-0

Funding provided by: Fundação Faculdade de Medicina*
Crossref Funder Registry ID:
Award Number:

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Additional details

Related works

Is cited by
https://www.researchsquare.com/article/rs-1363260/v1 (URL)