About: Evaluation of the sentinel surveillance system for influenza-like illnesses in the Greater Accra region, Ghana, 2018

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About: Evaluation of the sentinel surveillance system for influenza-like illnesses in the Greater Accra region, Ghana, 2018 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Evaluation of the sentinel surveillance system for influenza-like illnesses in the Greater Accra region, Ghana, 2018
Creator	Afari, Edwin Ameme, Donne Bonfoh, Bassirou Eleeza, John Kenu, Ernest Sackey, Samuel Ngandolo, Richard Fayiz Abakar, Mahamat Id, Nuvey Khumalo Kuma, George Kreppelid, Katharina Paa Edu-Quansah, Elijah Sena, Francis
topic	covid:b2e781c81e340e91a0f27009b29d0c8a3635c5e8#this
source	Medline; PMC
abstract	BACKGROUND: Influenza-like Illness (ILI) is a medical diagnosis of possible influenza or another respiratory illness with a common set of symptoms. The deaths of four schoolchildren, during a pandemic influenza outbreak in December 2017 in Ghana, raised doubts about the ILI surveillance system’s performance. We evaluated the ILI surveillance system in the Greater Accra region, Ghana, to assess the system’s attributes and its performance on set objectives. METHODS: CDC guidelines were used to evaluate the data of the ILI surveillance system between 2013 and 2017. We interviewed the surveillance personnel on the system’s description and operation. Additionally, routinely entered ILI data from the National Influenza Center provided by the six sentinel sites in Accra was extracted. We sampled and reviewed 120 ILI case-investigation forms from these sites. Surveillance activities were examined on system’s performance indicators, each being scored on a scale of 1 to 3 (poorest to best performance). RESULTS: All population and age groups were under ILI surveillance over the period evaluated. Overall, 2948 suspected case-patients, including 392 (13.3%) children under-five were reported, with 219 being positive for influenza virus (Predictive value positive = 7.4%). The predominant influenza subtype was H3N2, recorded in 90 (41.1%) of positive case-patients. The system only met two out of its four objectives. None of the six sentinel sites consistently met their annual 260 suspected case-detection quota. Samples reached the laboratory on average 48 hours after collection and results were disseminated within 7 days. Of 120 case-investigation forms sampled, 91 (76.3%) were completely filled in. CONCLUSIONS: The ILI surveillance system in the Greater Accra region is only partially meeting its objectives. While it is found to be sensitive, representative and timely, the data quality was sub-optimal. We recommend the determination of thresholds for alert and outbreak detection and ensuring that sentinel sites meet their weekly case-detection targets.
has issue date	2019-03-14(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0213627
bibo:pmid	30870489
has license	cc-by
sha1sum (hex)	b2e781c81e340e91a0f27009b29d0c8a3635c5e8
schema:url	https://doi.org/10.1371/journal.pone.0213627
resource representing a document's title	Evaluation of the sentinel surveillance system for influenza-like illnesses in the Greater Accra region, Ghana, 2018
has PubMed Central identifier	PMC6417674
has PubMed identifier	30870489
schema:publication	PLoS One
resource representing a document's body	covid:b2e781c81e340e91a0f27009b29d0c8a3635c5e8#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/b2e781c81e340e91a0f27009b29d0c8a3635c5e8
is schema:about of	named entity 'SURVEILLANCE SYSTEM' named entity 'Ghana' named entity 'pandemic' named entity '2017' named entity 'system' named entity 'surveillance' named entity 'OBJECTIVES' named entity 'POSSIBLE' named entity 'SURVEILLANCE SYSTEM' named entity 'SCHOOLCHILDREN' named entity 'GREATER ACCRA REGION' named entity 'EVALUATED' named entity 'SYMPTOMS' named entity 'RESPIRATORY ILLNESS' named entity 'SET' named entity 'ITS' named entity 'ASSESS' named entity 'RAISED' named entity 'PANDEMIC' named entity 'GHANA' named entity 'ILI' named entity 'INFLUENZA' named entity 'ATTRIBUTES' named entity '27S' named entity 'DEATHS' named entity 'PERFORMANCE' named entity 'INFLUENZA-LIKE ILLNESS' named entity 'ABOUT' named entity 'ILLNESSES' named entity 'INFLUENZA' named entity '2018' named entity 'LIKE' named entity 'EVALUATION' named entity 'SENTINEL SURVEILLANCE' named entity 'SYSTEM' named entity 'OUTBREAK' named entity 'GREATER ACCRA REGION' named entity 'GHANA' named entity 'IS A' named entity 'DECEMBER' named entity 'DOUBTS' named entity 'MEDICAL DIAGNOSIS' named entity 'A COMMON' named entity 'objectives' named entity 'influenza' named entity 'ILI' named entity 'surveillance' named entity 'surveillance' named entity 'Influenza-like Illness' named entity 'ILI' named entity 'set of symptoms' named entity 'medical diagnosis' named entity 'CDC' named entity 'Greater Accra' named entity 'nasopharyngeal' named entity 'influenza' named entity 'Ghana' named entity 'influenza' named entity 'WHO' named entity 'Noguchi Memorial Institute of Medical Research' named entity 'H1N1' named entity 'ILI' named entity 'influenza' named entity 'Ghana' named entity 'Europe' named entity 'influenza' named entity 'Madagascar'

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