Evidence map›Paper›PMID 31823763›Full record

ArticleBMC public health2019

Evaluation of the influenza sentinel surveillance system in the Democratic Republic of Congo, 2012-2015.

Pélagie Babakazo, Joelle Kabamba-Tshilobo, Emile Okitolonda Wemakoy, Léopold Lubula, Léonie Kitoko Manya, Benoit Kebela Ilunga, Wally Disasuani, Edith Nkwembe, Hugo Kavunga-Membo, Jean-Claude Changachanga and 3 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.0field-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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 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

13 authors at 4 institutions in 5 countries.

Pélagie BabakazoKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo. pbabakazo@yahoo.fr.ORCID http://orcid.org/0000-0001-5561-696X
Joelle Kabamba-TshiloboInfluenza and Monkeypox Program, Centers for Disease Control and Prevention, Kinshasa, Democratic Republic of Congo.
Emile Okitolonda WemakoyKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Léopold LubulaDivision de Lutte Contre la Maladie, Ministry of Health, Kinshasa, Democratic Republic of Congo.
Léonie Kitoko ManyaDivision de Lutte Contre la Maladie, Ministry of Health, Kinshasa, Democratic Republic of Congo.
Benoit Kebela IlungaDivision de Lutte Contre la Maladie, Ministry of Health, Kinshasa, Democratic Republic of Congo.
Wally DisasuaniKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Edith NkwembeInstitut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo.
Hugo Kavunga-MemboInstitut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo.
Jean-Claude ChangachangaInstitut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo.
Saleh MuhemediKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Jean-Jacques Muyembe TamfumInstitut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo.
Stefano TempiaInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA. stefanot@nicd.ac.za.
National Institute of Biomedical Research · CDUniversity of Kinshasa · CDMinistry of Public Health · CDCenters for Disease Control and Prevention · US

Funding

CDC HHS U51IP000602NCIRD CDC HHS U51 IP000602
6 · The paper itself

Abstract

backgroundThe World Health Organization recommends periodic evaluations of influenza surveillance systems to identify areas for improvement and provide evidence of data reliability for policymaking. However, data about the performance of established influenza surveillance systems are limited in Africa, including in the Democratic Republic of Congo (DRC).

methodsWe used the Centers for Disease Control and Prevention guidelines to evaluate the performance of the influenza sentinel surveillance system (ISSS) in DRC during 2012-2015. The performance of the system was evaluated using eight surveillance attributes: (i) data quality and completeness for key variables, (ii) timeliness, (iii) representativeness, (iv) flexibility, (v) simplicity, (vi) acceptability, (vii) stability and (viii) utility. For each attribute, specific indicators were developed and described using quantitative and qualitative methods. Scores for each indicator were as follows: < 60% weak performance; 60-79% moderate performance; ≥80% good performance.

resultsDuring 2012-2015, we enrolled and tested 4339 patients with influenza-like illness (ILI) and 2869 patients with severe acute respiratory illness (SARI) from 11 sentinel sites situated in 5 of 11 provinces. Influenza viruses were detected in 446 (10.3%) samples from patients with ILI and in 151 (5.5%) samples from patients with SARI with higher detection during December-May. Data quality and completeness was > 90% for all evaluated indicators. Other strengths of the system were timeliness, simplicity, stability and utility that scored > 70% each. Representativeness, flexibility and acceptability had moderate performance. It was reported that the ISSS contributed to: (i) a better understanding of the epidemiology, circulating patterns and proportional contribution of influenza virus among patients with ILI or SARI; (ii) acquisition of new key competences related to influenza surveillance and diagnosis; and (iii) continuous education of surveillance staff and clinicians at sentinel sites about influenza. However, due to limited resources no actions were undertaken to mitigate the impact of seasonal influenza epidemics.

conclusionsThe system performed overall satisfactorily and provided reliable and timely data about influenza circulation in DRC. The simplicity of the system contributed to its stability. A better use of the available data could be made to inform and promote prevention interventions especially among the most vulnerable groups.

Indexed as

Data AccuracySentinel SurveillanceDemocratic Republic of the CongoHumansInfluenza, HumanOrthomyxoviridaeReproducibility of ResultsDemocratic Republic of CongoEvaluationInfluenzaSurveillance

Identifiers

PMID31823763
PMCPMC6902419
OpenAlexW2996470017

What OpenQuestion holds

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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.