Evidence map›Paper›PMID 31769524›Full record

ArticleJournal of medical virology2020

Typical epidemiology of respiratory virus infections in a Brazilian slum.

Luiz Gustavo Bentim Góes, Rodrigo Melim Zerbinati, Adriana Fumie Tateno, Andrea Vieira de Souza, Fabian Ebach, Victor M Corman, Carlos Alberto Moreira-Filho, Edison Luiz Durigon, Luiz Vicente Ribeiro Ferreira da Silva Filho, Jan Felix Drexler

Abstract read
In one paragraph

Article in Journal of medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

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  12. Habitat vulnerability in slum areas of India - What we learnt from COVID-19?International journal of disaster risk reduction : IJDRR · 2021
    Article
  13. Article
  14. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Luiz Gustavo Bentim GóesInstitute of Virology, Charité-Universitätsmedizin Berlin, corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.ORCID 0000-0002-5919-3308
Rodrigo Melim ZerbinatiInstitute of Virology, University of Bonn Medical Center, Bonn, Germany.
Adriana Fumie TatenoInstitute of Virology, University of Bonn Medical Center, Bonn, Germany.
Andrea Vieira de SouzaInstituto de Ensino e Pesquisa, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Fabian EbachInstitute of Virology, University of Bonn Medical Center, Bonn, Germany.
Victor M CormanInstitute of Virology, Charité-Universitätsmedizin Berlin, corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Carlos Alberto Moreira-FilhoDepartmento de Pediatria, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Edison Luiz DurigonLaboratório de Virologia Clínica e Molecular, Departamento de Microbiologia - ICB-II, Universidade de São Paulo, São Paulo, Brazil.
Luiz Vicente Ribeiro Ferreira da Silva FilhoInstituto de Ensino e Pesquisa, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Jan Felix DrexlerInstitute of Virology, Charité-Universitätsmedizin Berlin, corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.ORCID 0000-0002-3509-0232

Funding

European Union's Horizon 2020 program through the ZIKAlliance project 734548Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 02/08460-6
6 · The paper itself

Abstract

Host population size, density, immune status, age structure, and contact rates are critical elements of virus epidemiology. Slum populations stand out from other settings and may present differences in the epidemiology of acute viral infections. We collected nasopharyngeal specimens from 282 children aged ≤5 years with acute respiratory tract infection (ARI) during 2005 to 2006 in one of the largest Brazilian slums. We conducted real-time reverse transcription-polymerase chain reaction (RT-PCR) for 16 respiratory viruses, nested RT-PCR-based typing of rhinoviruses (HRVs), and collected clinical symptoms. Viruses were common causes of respiratory disease; with ≥1 virus being detected in 65.2% of patients. We detected 15 different viruses during 1 year with a predominance of HRV (33.0%) and human respiratory syncytial virus (hRSV, 12.1%) infections, and a high rate of viral coinfections (28.3%). We observed seasonality of hRSV, HRV and human coronavirus infections, more severe symptoms in hRSV and influenza virus (FLU) infections and prolonged circulation of seven HRV clusters likely representing distinct serotypes according to genomic sequence distances. Potentially unusual findings included the absence of human metapneumovirus detections and lack of typical FLU seasonal patterns, which may be linked to the population size and density of the slum. Nonetheless, most epidemiological patterns were similar to other studies globally, suggesting surprising similarities of virus-associated ARI across highly diverse settings and a complex impact of population characteristics on respiratory virus epidemiology.

Indexed as

BrazilChildChild, PreschoolCoinfectionCoronavirusHumansInfantOrthomyxoviridaePopulation DensityPoverty AreasRespiratory Syncytial Virus, HumanRespiratory Tract InfectionsReverse Transcriptase Polymerase Chain ReactionRhinovirusVirus Diseasesacute respiratory infectionBrazilepidemiologyreal-time polymerase chain reactionrespiratory tract infectionsslumviruses

Identifiers

PMID31769524
PMCPMC7228228

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LicenceCC BY
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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.