4.8 Article

Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals

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NATURE MEDICINE
卷 28, 期 7, 页码 1476-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41591-022-01807-1

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资金

  1. Medical Research Council-Sao Paulo Research Foundation (FAPESP) [MR/S0195/1, FAPESP18/143890]
  2. Bill & Melinda Gates Foundation [OPP1175094]
  3. EPSRC through the EPSRC Centre for Doctoral Training in Modern Statistics and Statistical Machine Learning at Imperial [EP/S023151/1]
  4. MRC Centre for Global Infectious Disease Analysis [MR/R015600/1]
  5. UK Medical Reseach Council (MRC)
  6. UK Foreign, Commonwealth & Development Office (FCDO), under the MRC/FCDO Concordat agreement
  7. European Union
  8. Rede Coronaomica BR MCTI/FINEP [01.20.0029.000462/20]
  9. CNPq [310627/2018-4]
  10. MEC/CAPES [14/2020 - 23072.211119/2020-10]
  11. FINEP [0494/20 01.20.0026.00]
  12. UK Research and Innovation [MR/V038109/1]
  13. MRC [MR/R015600/1]
  14. Novo Nordisk Young Investigator Award [NNF20OC0059309]
  15. Danish National Research Foundation
  16. Inova Fiocruz [48401485034116]
  17. Clarendon Fund
  18. University of Oxford Department of Zoology and Merton College
  19. Wellcome Trust
  20. Royal Society (Sir Henry Dale Fellowship) [204311/Z/16/Z]
  21. EPSRC [EP/V002910/2]
  22. FAPESP [2019/21858-0]
  23. Fundacao Faculdade de Medicina and Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior Brasil (CAPES)
  24. Instituto de Salud Carlos III (Sara Borrell fellowship) [CD19/00110]
  25. Spanish Ministry of Science and Innovation and State Research Agency through the 'Centro de Excelencia Severo Ochoa [CEX2018-000806-S]
  26. 'Generalitat de Catalunya' through the CERCA program
  27. Medical Research Council [MR/V038109/1]
  28. FAPEMIG [APQ-00475-20]
  29. Global Virus Network Fellowship
  30. National Institutes of Health [AI12094]
  31. Medical Research Council (Doctoral Training Partnership Studentship) [1975152]
  32. European Research Council [725422]
  33. European Research Council (ERC) [725422] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

Analysis of individual-level patient records from Brazil reveals that COVID-19 mortality rates are significantly influenced by pre-pandemic geographic inequities and healthcare capacity during the pandemic. The study also documents the temporary shocks in hospital fatality rates following the spread of the Gamma variant in 14 state capitals, where more than half of hospitalized patients aged 70 years and older died. The fluctuations in Brazil's COVID-19 in-hospital fatality rates were primarily associated with geographic inequities and shortages in healthcare capacity. Approximately half of the COVID-19 deaths in hospitals in the 14 cities could have been avoided without pre-pandemic geographic inequities and healthcare pressure. Investments in healthcare resources, healthcare optimization, and pandemic preparedness are critical to minimize the impact of highly transmissible and deadly pathogens like SARS-CoV-2, especially in low- and middle-income countries.
Analysis of individual-level patient records from Brazil reveals that the extensive shocks in COVID-19 mortality rates are associated with pre-pandemic geographic inequities as well as shortages in healthcare capacity during the pandemic. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant of concern has spread rapidly across Brazil since late 2020, causing substantial infection and death waves. Here we used individual-level patient records after hospitalization with suspected or confirmed coronavirus disease 2019 (COVID-19) between 20 January 2020 and 26 July 2021 to document temporary, sweeping shocks in hospital fatality rates that followed the spread of Gamma across 14 state capitals, during which typically more than half of hospitalized patients aged 70 years and older died. We show that such extensive shocks in COVID-19 in-hospital fatality rates also existed before the detection of Gamma. Using a Bayesian fatality rate model, we found that the geographic and temporal fluctuations in Brazil's COVID-19 in-hospital fatality rates were primarily associated with geographic inequities and shortages in healthcare capacity. We estimate that approximately half of the COVID-19 deaths in hospitals in the 14 cities could have been avoided without pre-pandemic geographic inequities and without pandemic healthcare pressure. Our results suggest that investments in healthcare resources, healthcare optimization and pandemic preparedness are critical to minimize population-wide mortality and morbidity caused by highly transmissible and deadly pathogens such as SARS-CoV-2, especially in low- and middle-income countries.

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