Evidence map›Paper›PMID 31283762›Full record

ArticlePloS one2019

Investigation of an outbreak of acute respiratory disease in an indigenous village in Brazil: Contribution of Influenza A(H1N1)pdm09 and human respiratory syncytial viruses.

Andrey Moreira Cardoso, Paola Cristina Resende, Enny S Paixao, Felipe G Tavares, Yasmin N Farias, Carla Tatiana G Barreto, Lídia N Pantoja, Fernanda L Ferreira, André Luiz Martins, Ângela Barbosa Lima and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 28 citations in OpenAlex.

  1. Infrastructure-health nexus in Brazil: a scoping review.Global health research and policy · 2025
    Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. First molecular-based detection study of Leishmania infantum in the Tapirapé indigenous population in the Brazilian Amazon.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2022
    Article
  8. Article
  9. COVID-19 in the Indigenous Population of Brazil.Journal of racial and ethnic health disparities · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 2 countries.

Andrey Moreira CardosoFundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-7591-7791
Paola Cristina ResendeInstituto Oswaldo Cruz-Fiocruz, Rio de Janeiro, RJ, Brazil.
Enny S PaixaoLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Felipe G TavaresUniversidade Federal Fluminense, Niterói, RJ, Brazil.
Yasmin N FariasFundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
Carla Tatiana G BarretoUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Lídia N PantojaFundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
Fernanda L FerreiraSecretaria Especial de Saúde Indígena, Curitiba, PR, Brazil.
André Luiz MartinsSecretaria Especial de Saúde Indígena, Curitiba, PR, Brazil.
Ângela Barbosa LimaSecretaria Especial de Saúde Indígena, Curitiba, PR, Brazil.
Daniella A FernandesSecretaria Especial de Saúde Indígena, Curitiba, PR, Brazil.
Patrícia Machado SanchesSecretaria Municipal de Saúde de Paraty, Paraty, RJ, Brazil.
Walquiria A F AlmeidaSecretaria de Vigilância em Saúde, Brasília, DF, Brazil.
Laura C RodriguesLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Marilda M SiqueiraInstituto Oswaldo Cruz-Fiocruz, Rio de Janeiro, RJ, Brazil.
Secretaria da Saúde · BRFundação Oswaldo Cruz · BRLondon School of Hygiene & Tropical Medicine · GBSecretaria Municipal de Saúde · BRUniversidade do Estado do Rio de Janeiro · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyses of the 2009 H1N1 influenza pandemic and post-pandemic years showed high attack rates and severity among indigenous populations. This study presents the characteristics of the first documented influenza outbreak in indigenous peoples in Brazil, that occurred from 30th March to 14th April 2016 in a Guarani village in Southeast Region. Acute respiratory infections were prospectively investigated. The majority of the 73 cases were influenza-like illness (ILI) (63.0%) or severe acute respiratory infection (SARI) (20.5%). The ILI+SARI attack rate (35.9%) decreased with increasing age. There was a high influenza vaccination rate (86.3%), but no statistically significant difference in vaccination rates between severe and non-severe cases was seen (p = 0.334). Molecular analyses of 19.2% of the cases showed 100% positivity for influenza A(H1N1)pdm09 and/or hRSV. Influenza A(H1N1)pdm09 was included in the 6B.1 genetic group, a distinct cluster with 13 amino acid substitutions of A/California/07/2009-like. The hRSV were clustered in the BA-like genetic group. The early arrival of the influenza season overlapping usual hRSV season, the circulation of a drifted influenza virus not covered by vaccine and the high prevalence of risk factors for infection and severity in the village jointly can explain the high attack rate of ARI, even with a high rate of influenza vaccination. The results reinforce the importance of surveillance of respiratory viruses, timely vaccination and controlling risk factors for infection and severity of in the indigenous populations in order to preventing disease and related deaths, particularly in children.

Indexed as

AdolescentBrazilChildChild, PreschoolDisease OutbreaksFemaleHumansInfantInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesMaleRespiration DisordersRespiratory Tract InfectionsSeasonsVaccinationInfluenza Vaccines

Identifiers

PMID31283762
PMCPMC6613774
OpenAlexW2959177259

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.