Evidence map›Paper›PMID 34991508›Full record

ArticleBMC infectious diseases2022

Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015-2016.

Saima Hasan, Richard J Webby, Muhammad Iqbal, Hamad Bin Rashid, Mansur-Ud-Din Ahmad, Jawad Nazir, Jennifer DeBeauchamp, Shakera Sadiq, Mamoona Chaudhry

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 9 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

9 authors at 3 institutions in 3 countries.

Saima HasanDepartment of Epidemiology and Public Health, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Richard J WebbyWorld Health Organization Collaborating Center for Studies on the Ecology of Influenza in Animals and Birds, Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA.
Muhammad IqbalDepartment of Epidemiology and Public Health, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Hamad Bin RashidDepartment of Surgery and Pet Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Mansur-Ud-Din AhmadDepartment of Epidemiology and Public Health, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Jawad NazirDepartment of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Jennifer DeBeauchampWorld Health Organization Collaborating Center for Studies on the Ecology of Influenza in Animals and Birds, Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA.
Shakera SadiqDepartment of Epidemiology and Public Health, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Mamoona ChaudhryDepartment of Epidemiology and Public Health, University of Veterinary and Animal Sciences, Lahore, Pakistan. Mamoona.chaudhry@uvas.edu.pk.
University of Veterinary and Animal Sciences · PKSt. Jude Children's Research Hospital · USRiphah International University · PK

Funding

Pak-US Science and Technology cooperation Program Grant# Pak-US/HEC/2015/11, Pakistan; US/Grant#GDL-PakUS-2015-013, USA
6 · The paper itself

Abstract

backgroundInfluenza A virus (IAV) remains an important global public health threat with limited epidemiological information available from low-and-middle-income countries. The major objective of this study was to describe the proportions, temporal and spatial distribution, and demographic and clinical characteristics of IAV positive patients with influenza like illness (ILI) and severe acute respiratory illness (SARI) in Lahore, Pakistan.

methodsProspective surveillance was established in a sentinel hospital from October 2015 to May 2016. All eligible outpatients and inpatients with ILI or SARI were enrolled in the study. Nasal and/or throat swabs were collected along with clinico-epidemiological data. Samples were tested by real-time RT-PCR (rRT-PCR) to identify IAV and subtype. The descriptive analysis of data was done in R software.

resultsOut of 311 enrolled patients, 284 (91.3%) were ILI and 27 (8.7%) were SARI cases. A distinct peak of ILI and SARI activity was observed in February. Fifty individuals (16%) were positive for IAV with peak positivity observed in December. Of 50 IAV, 15 were seasonal H3N2, 14 were H1N1pdm09 and 21 were unable to be typed. The majority of IAV positive cases (98%) presented with current or history of fever, 88% reported cough and 82% reported sore throat. The most common comorbidities in IAV positive cases were hepatitis C (4%), obesity (4%) and tuberculosis (6%). The highest incidence of patients reporting to the hospital was seen three days post symptoms onset (66/311) with 14 of these (14/66) positive for IAV.

conclusionDistinct trends of ILI, SARI and IAV positive cases were observed which can be used to inform public health interventions (vaccinations, hand and respiratory hygiene) at appropriate times among high-risk groups. We suggest sampling from both ILI and SARI patients in routine surveillance as recommended by WHO.

Indexed as

Influenza A virusInfluenza, HumanHumansInfantInfluenza A Virus, H3N2 SubtypePakistanProspective StudiesSeasonsSentinel SurveillanceActive surveillanceInfluenzaInfluenza like illness (ILI)PandemicSeasonal influenzaSevere acute respiratory illness (SARI)

Identifiers

PMID34991508
PMCPMC8734537
OpenAlexW4205847227

What OpenQuestion holds

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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.