Evidence map›Paper›PMID 24587163›Full record

ArticlePloS one2014

Population-based incidence of severe acute respiratory virus infections among children aged <5 years in rural Bangladesh, June-October 2010.

Sharifa Nasreen, Stephen P Luby, W Abdullah Brooks, Nusrat Homaira, Abdullah Al Mamun, Mejbah Uddin Bhuiyan, Mustafizur Rahman, Dilruba Ahmed, Jaynal Abedin, Mahmudur Rahman and 7 more

Open access · goldAbstract readHistorical Article
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
5.6field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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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

17 authors at 3 institutions in 2 countries.

Sharifa Nasreenicddr,b, Dhaka, Bangladesh.
Stephen P Lubyicddr,b, Dhaka, Bangladesh ; Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America.
W Abdullah Brooksicddr,b, Dhaka, Bangladesh.
Nusrat Homairaicddr,b, Dhaka, Bangladesh.
Abdullah Al Mamunicddr,b, Dhaka, Bangladesh.
Mejbah Uddin Bhuiyanicddr,b, Dhaka, Bangladesh.
Mustafizur Rahmanicddr,b, Dhaka, Bangladesh.
Dilruba Ahmedicddr,b, Dhaka, Bangladesh.
Jaynal Abedinicddr,b, Dhaka, Bangladesh.
Mahmudur RahmanInstitute of Epidemiology Disease Control and Research (IEDCR), Dhaka, Bangladesh.
A S M AlamgirInstitute of Epidemiology Disease Control and Research (IEDCR), Dhaka, Bangladesh.
Alicia M FryCenters for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America.
Peter Kim Streatfieldicddr,b, Dhaka, Bangladesh.
Anisur Rahmanicddr,b, Dhaka, Bangladesh.
Joseph BreseeCenters for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America.
Marc-Alain WiddowsonCenters for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America.
Eduardo Azziz-Baumgartnericddr,b, Dhaka, Bangladesh ; Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America.
International Centre for Diarrhoeal Disease Research · BDCenters for Disease Control and Prevention · USInstitute of Epidemiology, Disease Control and Research · BD

Funding

ADDRESSING EMERGING INFECTIOUS DISEASES IN BANGLADESHU01CI000628 · CI · INTERNATIONAL CTR/DIARRHOEAL DIS RES · PI LATRIELLE, SARA · 2009 to 2014
$21.1M
NCPDCID CDC HHS 1U01CI000628-01NCPDCID CDC HHS U01 CI000628
6 · The paper itself

Abstract

backgroundBetter understanding the etiology-specific incidence of severe acute respiratory infections (SARIs) in resource-poor, rural settings will help further develop and prioritize prevention strategies. To address this gap in knowledge, we conducted a longitudinal study to estimate the incidence of SARIs among children in rural Bangladesh.

methodsDuring June through October 2010, we followed children aged <5 years in 67 villages to identify those with cough, difficulty breathing, age-specific tachypnea and/or danger signs in the community or admitted to the local hospital. A study physician collected clinical information and obtained nasopharyngeal swabs from all SARI cases and blood for bacterial culture from those hospitalized. We tested swabs for respiratory syncytial virus (RSV), influenza viruses, human metapneumoviruses, adenoviruses and human parainfluenza viruses 1-3 (HPIV) by real-time reverse transcription polymerase chain reaction. We calculated virus-specific SARI incidence by dividing the number of new illnesses by the person-time each child contributed to the study.

resultsWe followed 12,850 children for 279,029 person-weeks (pw) and identified 141 SARI cases; 76 (54%) at their homes and 65 (46%) at the hospital. RSV was associated with 7.9 SARI hospitalizations per 100,000 pw, HPIV3 2.2 hospitalizations/100,000 pw, and influenza 1.1 hospitalizations/100,000 pw. Among non-hospitalized SARI cases, RSV was associated with 10.8 illnesses/100,000 pw, HPIV3 1.8/100,000 pw, influenza 1.4/100,000 pw, and adenoviruses 0.4/100,000 pw.

conclusionRespiratory viruses, particularly RSV, were commonly associated with SARI among children. It may be useful to explore the value of investing in prevention strategies, such as handwashing and respiratory hygiene, to reduce respiratory infections among young children in such settings.

Indexed as

BangladeshChild, PreschoolDisease OutbreaksHistory, 21st CenturyHumansIncidenceInfantLongitudinal StudiesOrthomyxoviridaeParainfluenza Virus 1, HumanParainfluenza Virus 2, HumanParainfluenza Virus 3, HumanReal-Time Polymerase Chain ReactionRespiratory Syncytial VirusesRespiratory Tract InfectionsReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID24587163
PMCPMC3934972
OpenAlexW1975488446

What OpenQuestion holds

Textmetadata
LicenceCC0
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.