Literature DB >> 33413174

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

Mamadou Aliou Barry1, Florent Arinal2, Cheikh Talla2, Boris Gildas Hedible2, Fatoumata Diene Sarr2, Ibrahim Oumar Ba3, Boly Diop4, Ndongo Dia5, Muriel Vray2.   

Abstract

BACKGROUND: Influenza 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.
METHODS: All 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.
RESULTS: WHO, 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.
CONCLUSION: In 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.

Entities:  

Keywords:  Influenza; Performance; Senegal; Surveillance

Mesh:

Year:  2021        PMID: 33413174      PMCID: PMC7790019          DOI: 10.1186/s12879-020-05724-x

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


  32 in total

1.  Statistical analysis of correlated data using generalized estimating equations: an orientation.

Authors:  James A Hanley; Abdissa Negassa; Michael D deB Edwardes; Janet E Forrester
Journal:  Am J Epidemiol       Date:  2003-02-15       Impact factor: 4.897

2.  Performance of case definitions for influenza surveillance.

Authors:  L Jiang; V J Lee; W Y Lim; M I Chen; Y Chen; L Tan; R T Lin; Y S Leo; I Barr; A R Cook
Journal:  Euro Surveill       Date:  2015-06-04

3.  Symptomatic predictors of influenza virus positivity in children during the influenza season.

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Review 4.  Seasonal influenza epidemiology in sub-Saharan Africa: a systematic review.

Authors:  Bradford D Gessner; Nahoko Shindo; Sylvie Briand
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5.  The rise and fall of malaria in a West African rural community, Dielmo, Senegal, from 1990 to 2012: a 22 year longitudinal study.

Authors:  Jean-François Trape; Adama Tall; Cheikh Sokhna; Alioune Badara Ly; Nafissatou Diagne; Ousmane Ndiath; Catherine Mazenot; Vincent Richard; Abdoulaye Badiane; Fambaye Dieye-Ba; Joseph Faye; Gora Ndiaye; Fatoumata Diene Sarr; Clémentine Roucher; Charles Bouganali; Hubert Bassène; Aissatou Touré-Baldé; Christian Roussilhon; Ronald Perraut; André Spiegel; Jean-Louis Sarthou; Luiz Pereira da Silva; Odile Mercereau-Puijalon; Pierre Druilhe; Christophe Rogier
Journal:  Lancet Infect Dis       Date:  2014-05-06       Impact factor: 25.071

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7.  What are the most sensitive and specific sign and symptom combinations for influenza in patients hospitalized with acute respiratory illness? Results from western Kenya, January 2007-July 2010.

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Journal:  Epidemiol Infect       Date:  2012-03-15       Impact factor: 4.434

8.  Performance of influenza case definitions for influenza community surveillance: based on the French influenza surveillance network GROG, 2009-2014.

Authors:  Jean-Sebastien Casalegno; Daniel Eibach; Martine Valette; Vincent Enouf; Isabelle Daviaud; Sylvie Behillil; Astrid Vabret; Jean Claude Soulary; Mehdi Benchaib; Jean Marie Cohen; Sylvie van der Werf; Anne Mosnier; Bruno Lina
Journal:  Euro Surveill       Date:  2017-04-06

9.  [Influenza sentinel surveillance network improvement in Senegal and results].

Authors:  D Thiam; M Niang; N Dia; F D Sarr; D Goudiab; M-L Senghor; D Kiori; T Faye; E Espié; I O Ba; V Richard
Journal:  Bull Soc Pathol Exot       Date:  2014-09-26

10.  Influenza in Africa.

Authors:  Maria Yazdanbakhsh; Peter G Kremsner
Journal:  PLoS Med       Date:  2009-12-15       Impact factor: 11.069

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3.  Detection of Rift Valley Fever Virus Lineage H From South Africa Through the Syndromic Sentinel Surveillance Network in Senegal.

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Journal:  Open Forum Infect Dis       Date:  2021-12-29       Impact factor: 3.835

4.  Characterization of influenza infection in a high-income urban setting in Nairobi, Kenya.

Authors:  Gabriel Miring'u; Betty Muriithi; Hisashi Shoji; Samwel M L Symekher; Ernest Apondi Wandera; Claire Majisu; Mitsuo Takei; Koome Mwiraria; Yukie Saito; Satoshi Kaneko; Issei Tokimatsu
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5.  Does knowing the influenza epidemic threshold has been reached influence the performance of influenza case definitions?

Authors:  Núria Soldevila; Diana Toledo; Ana Martínez; Pere Godoy; Núria Torner; Cristina Rius; Mireia Jané; Angela Domínguez
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