Evidence map›Paper›PMID 33413174›Full record

ArticleBMC infectious diseases2021

Performance of case definitions and clinical predictors for influenza surveillance among patients followed in a rural cohort in Senegal.

Mamadou Aliou Barry, Florent Arinal, Cheikh Talla, Boris Gildas Hedible, Fatoumata Diene Sarr, Ibrahim Oumar Ba, Boly Diop, Ndongo Dia, Muriel Vray

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Chikungunya outbreak in eastern Senegal, 2023.BMC infectious diseases · 2026
    Article
  3. Evaluation of COVID-19 and Influenza-like Illness Surveillance Case Definitions in a Prospective Cohort of Healthcare Personnel in Peru.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
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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 1 institution in 1 country.

Mamadou Aliou BarryInstitut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, 36, Avenue Pasteur, Dakar, Sénégal. abarry@pasteur.sn.ORCID http://orcid.org/0000-0002-3956-8782
Florent ArinalInstitut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, 36, Avenue Pasteur, Dakar, Sénégal.
Cheikh TallaInstitut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, 36, Avenue Pasteur, Dakar, Sénégal.
Boris Gildas HedibleInstitut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, 36, Avenue Pasteur, Dakar, Sénégal.
Fatoumata Diene SarrInstitut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, 36, Avenue Pasteur, Dakar, Sénégal.
Ibrahim Oumar BaOrganisation Mondiale de la Santé-Dakar, Dakar, Sénégal.
Boly DiopMinistère de la Santé et de l'Action Sociale, Direction de la Prévention, Dakar, Sénégal.
Ndongo DiaInstitut Pasteur de Dakar, Pôle de Virologie, Dakar, Sénégal.
Muriel VrayInstitut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, 36, Avenue Pasteur, Dakar, Sénégal.
Institut Pasteur de Dakar · SN

Funding

U.S. Department of Health and Human Services IDSEP140020-01-00
6 · The paper itself

Abstract

backgroundInfluenza is a major cause of morbidity and mortality in Africa. However, a lack of epidemiological data remains for this pathology, and the performances of the influenza-like illness (ILI) case definitions used for sentinel surveillance have never been evaluated in Senegal. This study aimed to i) assess the performance of three different ILI case definitions, adopted by the WHO, USA-CDC (CDC) and European-CDC (ECDC) and ii) identify clinical factors associated with a positive diagnosis for Influenza in order to develop an algorithm fitted for the Senegalese context.

methodsAll 657 patients with a febrile pathological episode (FPE) between January 2013 and December 2016 were followed in a cohort study in two rural villages in Senegal, accounting for 1653 FPE observations with nasopharyngeal sampling and influenza virus screening by rRT-PCR. For each FPE, general characteristics and clinical signs presented by patients were collected. Sensitivity, Specificity, Positive Predictive Value (PPV) and Negative Predictive Value (NPV) for the three ILI case definitions were assessed using PCR result as the reference test. Associations between clinical signs and influenza infection were analyzed using logistic regression with generalized estimating equations. Sore throat, arthralgia or myalgia were missing for children under 5 years.

resultsWHO, CDC and ECDC case definitions had similar sensitivity (81.0%; 95%CI: 77.0-85.0) and NPV (91.0%; 95%CI: 89.0-93.1) while the WHO and CDC ILI case definitions had the highest specificity (52.0%; 95%CI: 49.1-54.5) and PPV (32.0%; 95%CI: 30.0-35.0). These performances varied by age groups. In children < 5 years, the significant predictors of influenza virus infection were cough and nasal discharge. In patients from 5 years, cough, nasal discharge, sore throat and asthenia grade 3 best predicted influenza infection. The addition of "nasal discharge" as a symptom to the WHO case definition decreased sensitivity but increased specificity, particularly in the pediatric population.

conclusionIn summary, all three definitions studies (WHO, ECDC & CDC) have similar performance, even by age group. The revised WHO ILI definition could be chosen for surveillance purposes for its simplicity. Symptomatic predictors of influenza virus infection vary according the age group.

Indexed as

AdolescentAdultCenters for Disease Control and Prevention, U.S.ChildChild, PreschoolCohort StudiesCoughFemaleFeverHumansInfantInfluenza, HumanMaleMiddle AgedNasopharynxPharyngitisInfluenzaPerformanceSenegalSurveillance

Identifiers

PMID33413174
PMCPMC7790019
OpenAlexW3120175514

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.