Evidence map›Paper›PMID 30051595›Full record

ArticleInfluenza and other respiratory viruses2019

Timing of respiratory syncytial virus and influenza epidemic activity in five regions of Argentina, 2007-2016.

Elsa Baumeister, Jazmin Duque, Teresa Varela, Rakhee Palekar, Paula Couto, Vilma Savy, Carlos Giovacchini, Amber K Haynes, Brian Rha, Carmen S Arriola and 2 more

Abstract readComparative Study
In one paragraph

Article in Influenza and other respiratory viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Determining the timing of respiratory syncytial virus (RSV) epidemics: a systematic review, 2016 to 2021; method categorisation and identification of influencing factors.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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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

12 authors.

Elsa BaumeisterServicio Virosis Respiratorias, Instituto Nacional de Enfermedades Infecciosas, INEI-ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
Jazmin DuqueInfluenza Division, National Center for Immunization and Respiratory Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0003-3484-276X
Teresa VarelaSistema Nacional de Vigilancia por Laboratorio, Sistema Nacional de Vigilancia de la Salud, Ministerio de Salud de la Nación, Buenos Aires, Argentina.
Rakhee PalekarInfluenza Division, National Center for Immunization and Respiratory Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.
Paula CoutoPan American Health Organization, Washington, District of Columbia.
Vilma SavyServicio Virosis Respiratorias, Instituto Nacional de Enfermedades Infecciosas, INEI-ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
Carlos GiovacchiniPan American Health Organization, Washington, District of Columbia.
Amber K HaynesDivision of Viral Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.
Brian RhaDivision of Viral Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.
Carmen S ArriolaInfluenza Division, National Center for Immunization and Respiratory Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.
Susan I GerberDivision of Viral Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.
Eduardo Azziz-BaumgartnerInfluenza Division, National Center for Immunization and Respiratory Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWithin-country differences in the timing of RSV and influenza epidemics have not been assessed in Argentina, the eighth largest country in the world by area.

objectiveWe aimed to compare seasonality for RSV and influenza both nationally and in each of the five regions to inform Argentina's prevention and treatment guidelines.

methodThe Argentine National Laboratories and Health Institutes Administration collected respiratory specimens from clinical practices, outbreak investigations, and respiratory virus surveillance in 2007-2016; these were tested using immunofluorescence or RT-PCR techniques. We calculated weekly percent positive (PP) and defined season onset as >2 consecutive weeks when PP exceeded the annual mean for the respective year and region. Median season measures (onset, offset and peak) and the established mean method were calculated for each virus.

resultsAn annual median 59 396 specimens were tested for RSV and 60 931 for influenza; 21-29% tested positive for RSV and 2-7% for influenza. National RSV activity began in April; region-specific start weeks varied by 7 weeks. Duration of RSV activity did not vary widely by region (16-18 weeks in duration). National influenza activity started in June; region-specific start weeks varied by 3 weeks. Duration of influenza epidemic activity varied more by region than that of RSV (7-13 weeks in duration).

conclusionIn Argentina, RSV and influenza activity overlapped during the winter months. RSV season tended to begin prior to the influenza season, and showed more variation in start week by region. Influenza seasons tended to vary more in duration than RSV seasons.

Indexed as

SeasonsAdolescentAdultAgedArgentinaChildChild, PreschoolEpidemicsGeographyHumansInfantInfluenza, HumanMiddle AgedPublic Health SurveillanceRespiratory Syncytial Virus InfectionsTime FactorsArgentinaepidemicfluinfluenzarespiratory syncytialseasonality

Identifiers

PMID30051595
PMCPMC6304310

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LicenceCC BY
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Registered trials

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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.