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. 2021 Jan 7;21(1):31.
doi: 10.1186/s12879-020-05724-x.

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

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

Mamadou Aliou Barry et al. BMC Infect Dis. .

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.

Keywords: Influenza; Performance; Senegal; Surveillance.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Location of Dielmo and Ndiop villages in Senegal, WestAfrica.doi:10.1371/journal.pntd.0001999.g001

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References

    1. Yazdanbakhsh M, Kremsner PG. Influenza in Africa. PLoS Med. 2009;6(12): e1000182. 10.1371/journal.pmed.1000182. - PMC - PubMed
    1. Gessner BD, Shindo N, Briand S. Seasonal influenza epidemiology in sub-Saharan Africa: a systematic review. Lancet Infect Dis Mars. 2011;11(3):223–235. doi: 10.1016/S1473-3099(11)70008-1. - DOI - PubMed
    1. Thiam D, Niang M, Dia N, Sarr FD, Goudiab D, Senghor ML, et al. Influenza sentinel surveillance network improvement in Senegal and results. Bull Soc Pathol Exot. 1990;108(1):21–24. doi: 10.1007/s13149-014-0390-5. - DOI - PMC - PubMed
    1. Sarr FD, Niang M, Thiam D, Dia N, Badiane A, Ndao AB, et al. Acute febrile illness and influenza disease burden in a rural cohort dedicated to malaria in Senegal, 2012-2013. PLoS One. 2015;10(12):e0143999. doi: 10.1371/journal.pone.0143999. - DOI - PMC - PubMed
    1. Van Kerkhove MD, Vandemaele KAH, Shinde V, Jaramillo-Gutierrez G, Koukounari A, Donnelly CA, et al. Risk Factors for Severe Outcomes following 2009 Influenza A (H1N1) Infection: A Global Pooled Analysis. PLoS Med. 2011;8(7):e1001053. doi: 10.1371/journal.pmed.1001053. - DOI - PMC - PubMed

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