Evidence map›Paper›PMID 35538260›Full record

ArticleNature medicine2022

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

Andrea Brizzi, Charles Whittaker, Luciana M S Servo, Iwona Hawryluk, Carlos A Prete, William M de Souza, Renato S Aguiar, Leonardo J T Araujo, Leonardo S Bastos, Alexandra Blenkinsop and 31 more

Erratum issuedAbstract read
In one paragraph

Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Gamma SARS-CoV-2 variant of concern infection repercussions on pregnancy outcomes: A translational cohort study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  3. Article
  4. Article
  5. Cross-country analysis of health systems and hospital utilization across the Amazon.Revista panamericana de salud publica = Pan American journal of public health · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. SARS-CoV-2 reinfection rate before and after VOC Omicron emergence: a retrospective study in Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  15. Enhancing the epidemiological surveillance of SARS-CoV-2 using Sanger sequencing to identify circulating variants and recombinants.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

41 authors.

Andrea Brizzi *Department of Mathematics, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-5639-8260
Charles Whittaker *MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-5003-2575
Luciana M S Servo *Institute for Applied Economic Research, IPEA, Brasília, Brazil.
Iwona Hawryluk *MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-6919-4366
Carlos A Prete *Departamento de Engenharia de Sistemas Eletrônicos, Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil.
William M de Souza *World Reference Center for Emerging Viruses and Arboviruses and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston TX, USA.ORCID http://orcid.org/0000-0002-0025-8293
Renato S AguiarDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Leonardo J T AraujoLaboratory of Quantitative Pathology, Center of Pathology, Adolfo Lutz Institute, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-5427-4053
Leonardo S BastosPrograma de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-1406-0122
Alexandra BlenkinsopDepartment of Mathematics, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-2328-8671
Lewis F BussMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.
Darlan CandidoDepartment of Zoology, University of Oxford, Oxford, UK.
Marcia C CastroDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston MA, USA.ORCID http://orcid.org/0000-0003-4606-2795
Silvia F CostaDepartamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Julio CrodaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven CT, USA.
Andreza Aruska de Souza SantosLatin American Centre, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-3585-8683
Christopher DyeDepartment of Zoology, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-2957-1793
Seth FlaxmanDepartment of Computer Science, University of Oxford, Oxford, UK.
Paula L C FonsecaDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Victor E V GeddesDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Bernardo GutierrezDepartment of Zoology, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9220-2739
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven - University of Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-2826-5353
Anna S LevinDepartamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Thomas MellanMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.
Diego M BonfimDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID http://orcid.org/0000-0002-9603-455X
Xenia MiscouridouDepartment of Mathematics, Imperial College London, London, UK.
Swapnil MishraMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-8759-5902
Mélodie MonodDepartment of Mathematics, Imperial College London, London, UK.
Filipe R R MoreiraDepartamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Bruce NelsonEnvironmental Dynamics, INPA, National Institute for Amazon Research, Manaus, Brazil.ORCID http://orcid.org/0000-0002-0488-6895
Rafael H M PereiraInstitute for Applied Economic Research, IPEA, Brasília, Brazil.ORCID http://orcid.org/0000-0003-2125-7465
Otavio RanzaniBarcelona Institute for Global Health, ISGlobal, Barcelona, Spain.ORCID http://orcid.org/0000-0002-4677-6862
Ricardo P SchnekenbergNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Elizaveta SemenovaDepartment of Mathematics, Imperial College London, London, UK.
Raphael SonabendMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.
Renan P SouzaDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID http://orcid.org/0000-0002-9479-4432
Xiaoyue XiDepartment of Mathematics, Imperial College London, London, UK.
Ester C SabinoDepartamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil. sabinoec@usp.br.
Nuno R FariaMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK. n.faria@imperial.ac.uk.ORCID http://orcid.org/0000-0002-9747-8822
Samir BhattMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK. s.bhatt@imperial.ac.uk.ORCID http://orcid.org/0000-0002-0891-4611
Oliver Ratmann *Department of Mathematics, Imperial College London, London, UK. oratmann@gmail.com.ORCID http://orcid.org/0000-0001-8667-4118

Funding

Department of HealthMedical Research Council 1975152Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1Medical Research Council MR/S0195/1Medical Research Council MR/S019510/1Medical Research Council MR/V038109/1Wellcome TrustWellcome Trust 204311/Z/16/Z
6 · The paper itself

Abstract

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.

Indexed as

COVID-19AgedAged, 80 and overBayes TheoremBrazilHospitalsHumansSARS-CoV-2

Identifiers

PMID35538260
PMCPMC9307484

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.