Evidence map›Paper›PMID 25893441›Full record

ArticlePloS one2015

Influenza and other respiratory viruses detected by influenza-like illness surveillance in Leyte Island, the Philippines, 2010-2013.

Hirono Otomaru, Taro Kamigaki, Raita Tamaki, Jamie Opinion, Arlene Santo, Edgard Daya, Michiko Okamoto, Mariko Saito, Veronica Tallo, Soccoro Lupisan and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Surveillance of upper respiratory infections using a new multiplex PCR assay compared to conventional methods during the influenza season in Taiwan.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2017
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  13. Molecular epidemiology of influenza, RSV, and other respiratory infections among children in Qatar: A six years report (2012-2017).International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
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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 at 3 institutions in 2 countries.

Hirono OtomaruDepartment of Virology, Tohoku University School of Medicine, Sendai, Japan.
Taro KamigakiDepartment of Virology, Tohoku University School of Medicine, Sendai, Japan.
Raita TamakiDepartment of Virology, Tohoku University School of Medicine, Sendai, Japan.
Jamie OpinionTacloban City Health Office, Tacloban City, the Philippines.
Arlene SantoTanauan Rural Health Unit, Tanauan, the Philippines.
Edgard DayaLeyte Provincial Health Office, Palo, the Philippines.
Michiko OkamotoDepartment of Virology, Tohoku University School of Medicine, Sendai, Japan.
Mariko SaitoDepartment of Virology, Tohoku University School of Medicine, Sendai, Japan; Tohoku-RITM Research Center for Emerging and Reemerging Infections, Muntinlupa City, the Philippines.
Veronica TalloResearch Institute for Tropical Medicine, Muntinlupa City, the Philippines.
Soccoro LupisanResearch Institute for Tropical Medicine, Muntinlupa City, the Philippines.
Akira SuzukiVirus Research Center, Clinical Research Division, Sendai Medical Center, Sendai, Japan.
Hitoshi OshitaniDepartment of Virology, Tohoku University School of Medicine, Sendai, Japan.
Tohoku University · JPResearch Institute for Tropical Medicine · PHSendai Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to determine the role of influenza-like illness (ILI) surveillance conducted on Leyte Island, the Philippines, including involvement of other respiratory viruses, from 2010 to 2013. ILI surveillance was conducted from January 2010 to March 2013 with 3 sentinel sites located in Tacloban city, Palo and Tanauan of Leyte Island. ILI was defined as fever ≥38°C or feverish feeling and either cough or running nose in a patient of any age. Influenza virus and other 5 respiratory viruses were searched. A total of 5,550 ILI cases visited the 3 sites and specimens were collected from 2,031 (36.6%) cases. Among the cases sampled, 1,637 (75.6%) were children aged <5 years. 874 (43.0%) cases were positive for at least one of the respiratory viruses tested. Influenza virus and respiratory syncytial virus (RSV) were predominantly detected (both were 25.7%) followed by human rhinovirus (HRV) (17.5%). The age distributions were significantly different between those who were positive for influenza, HRV, and RSV. ILI cases were reported throughout the year and influenza virus was co-detected with those viruses on approximately half of the weeks of study period (RSV in 60.5% and HRV 47.4%). In terms of clinical manifestations, only the rates of headache and sore throat were significantly higher in influenza positive cases than cases positive to other viruses. In conclusion, syndromic ILI surveillance in this area is difficult to detect the start of influenza epidemic without laboratory confirmation which requires huge resources. Age was an important factor that affected positive rates of influenza and other respiratory viruses. Involvement of older age children may be useful to detect influenza more effectively.

Indexed as

Population SurveillanceAdolescentAdultChildChild, PreschoolDemographyFemaleGeographyHumansInfantInfant, NewbornInfluenza, HumanIslandsMaleOrthomyxoviridaePhilippines

Identifiers

PMID25893441
PMCPMC4404362
OpenAlexW1997458771

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.