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About:
Evaluation of the influenza sentinel surveillance system in the Democratic Republic of Congo, 2012–2015
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wasabi.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Evaluation of the influenza sentinel surveillance system in the Democratic Republic of Congo, 2012–2015
Creator
Tempia, Stefano
Babakazo, Pélagie
Changachanga, Jean-Claude
Disasuani, Wally
Kabamba-Tshilobo, Joelle
Kavunga-Membo, Hugo
Lubula, Léopold
Muhemedi, Saleh
Nkwembe, Edith
Kebela Ilunga, Benoit
Tamfum, Jean-Jacques
Wemakoy, Emile
Manya, Léonie
Source
Medline; PMC
abstract
BACKGROUND: The 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). METHODS: We 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. RESULTS: During 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. CONCLUSIONS: The 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.
has issue date
2019-12-10
(
xsd:dateTime
)
bibo:doi
10.1186/s12889-019-8008-2
bibo:pmid
31823763
has license
cc-by
sha1sum (hex)
367aa0244a4b97d04590b92ba9dba13fccd07ce3
schema:url
https://doi.org/10.1186/s12889-019-8008-2
resource representing a document's title
Evaluation of the influenza sentinel surveillance system in the Democratic Republic of Congo, 2012–2015
has PubMed Central identifier
PMC6902419
has PubMed identifier
31823763
schema:publication
BMC Public Health
resource representing a document's body
covid:367aa0244a4b97d04590b92ba9dba13fccd07ce3#body_text
is
schema:about
of
named entity 'Scores'
named entity 'sentinel'
named entity 'Africa'
named entity 'During'
named entity 'sentinel'
named entity 'epidemiology'
named entity 'key'
named entity 'influenza'
named entity 'performance'
named entity 'systems'
named entity 'surveillance'
named entity 'qualitative methods'
named entity 'tested'
named entity 'influenza'
named entity 'sentinel'
named entity 'SURVEILLANCE SYSTEM'
named entity 'DATA'
named entity 'CIRCULATION'
named entity 'LIMITED'
named entity 'KEY'
named entity '28I'
named entity 'INFLUENZA'
named entity 'SENTINEL SURVEILLANCE'
named entity 'NEW'
named entity 'RELIABILITY'
named entity 'TO IDENTIFY'
named entity 'QUANTITATIVE'
named entity 'WEAK'
named entity 'MITIGATE'
named entity 'PROVIDE'
named entity 'DIAGNOSIS'
named entity 'PERFORMANCE'
named entity 'UNDERSTANDING'
named entity 'AVAILABLE'
named entity 'TIMELY'
named entity 'SENTINEL SURVEILLANCE'
named entity 'METHODS'
named entity 'EPIDEMIOLOGY'
named entity 'INFLUENZA VIRUS'
named entity 'IMPACT'
named entity 'WORLD HEALTH ORGANIZATION'
named entity 'PREVENTION'
named entity 'ACQUISITION'
named entity 'EVALUATIONS'
named entity 'SEVERE'
named entity 'STRENGTHS'
named entity 'MODERATE'
named entity 'STAFF'
named entity 'SARI'
named entity 'CONTRIBUTION'
named entity 'INFLUENZA VIRUSES'
named entity 'QUALITATIVE'
named entity 'RESOURCES'
named entity '446'
named entity 'BETTER'
named entity '2015'
named entity 'REPUBLIC OF CONGO'
named entity 'SCORES'
named entity 'REPRESENTATIVENESS'
named entity 'VULNERABLE'
named entity 'FLEXIBILITY'
named entity 'ACTIONS'
named entity 'ATTRIBUTE'
named entity 'PATTERNS'
named entity 'DUE TO'
named entity 'SURVEILLANCE'
named entity 'BACKGROUND'
named entity 'RELATED'
named entity 'ABOUT'
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