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Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015

BACKGROUND: This study was initiated to evaluate, for the first time, the performance and quality of the influenza-like illness (ILI) surveillance system in Tunisia. METHODS: The evaluation covered the period of 2012–2015 and used different data sources to measure indicators related to data quality...

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Autores principales: Yazidi, Rihab, Aissi, Wafa, Bouguerra, Hind, Nouira, Mariem, Kharroubi, Ghassen, Maazaoui, Latifa, Zorraga, Mokhtar, Abdeddaiem, Naima, Chlif, Sadok, El Moussi, Awatef, Ben Hadj Kacem, Mohamed Ali, Snoussi, Mohamed Ali, Ghawar, Wissem, Koubaa, Makram, Polansky, Lauren, McCarron, Margaret, Boussarsar, Mohamed, Menif, Khaled, Amine, Slim, Ben Khelil, Jalila, Ben Jemaa, Mounir, Bettaieb, Jihene, Bouafif Ben Alaya, Nissaf, Ben Salah, Afif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555026/
https://www.ncbi.nlm.nih.gov/pubmed/31170955
http://dx.doi.org/10.1186/s12889-019-7035-3
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author Yazidi, Rihab
Aissi, Wafa
Bouguerra, Hind
Nouira, Mariem
Kharroubi, Ghassen
Maazaoui, Latifa
Zorraga, Mokhtar
Abdeddaiem, Naima
Chlif, Sadok
El Moussi, Awatef
Ben Hadj Kacem, Mohamed Ali
Snoussi, Mohamed Ali
Ghawar, Wissem
Koubaa, Makram
Polansky, Lauren
McCarron, Margaret
Boussarsar, Mohamed
Menif, Khaled
Amine, Slim
Ben Khelil, Jalila
Ben Jemaa, Mounir
Bettaieb, Jihene
Bouafif Ben Alaya, Nissaf
Ben Salah, Afif
author_facet Yazidi, Rihab
Aissi, Wafa
Bouguerra, Hind
Nouira, Mariem
Kharroubi, Ghassen
Maazaoui, Latifa
Zorraga, Mokhtar
Abdeddaiem, Naima
Chlif, Sadok
El Moussi, Awatef
Ben Hadj Kacem, Mohamed Ali
Snoussi, Mohamed Ali
Ghawar, Wissem
Koubaa, Makram
Polansky, Lauren
McCarron, Margaret
Boussarsar, Mohamed
Menif, Khaled
Amine, Slim
Ben Khelil, Jalila
Ben Jemaa, Mounir
Bettaieb, Jihene
Bouafif Ben Alaya, Nissaf
Ben Salah, Afif
author_sort Yazidi, Rihab
collection PubMed
description BACKGROUND: This study was initiated to evaluate, for the first time, the performance and quality of the influenza-like illness (ILI) surveillance system in Tunisia. METHODS: The evaluation covered the period of 2012–2015 and used different data sources to measure indicators related to data quality and completeness, representativeness, timeliness, simplicity, acceptability, flexibility, stability and utility. RESULTS: During the evaluation period, 485.221 ILI cases were reported among 6.386.621 outpatients at 268 ILI sentinel sites. To conserve resources, cases were only enrolled and tested for influenza during times when the number of patients meeting the ILI case definition exceeded 7% (10% after 2014) of the total number of outpatients for the week. When this benchmark was met, five to 10 patients were enrolled and sampled by nasopharyngeal swabs the following week. In total, The National Influenza Center (NIC) received 2476 samples, of which 683 (27.6%) were positive for influenza. The greatest strength of the system was its representativeness and flexibility. The timeliness of the data and the acceptability of the surveillance system performed moderately well; however, the utility of the data and the stability and simplicity of the surveillance system need improvement. Overall, the performance of the Tunisian influenza surveillance system was evaluated as performing moderately well for situational awareness in the country and for collecting representative influenza virologic samples. CONCLUSIONS: The influenza surveillance system in Tunisia provided pertinent evidence for public health interventions related to influenza situational awareness. To better monitor influenza, we propose that ILI surveillance should be limited to sites that are currently performing well and the quality of data collected should be closely monitored and improved.
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spelling pubmed-65550262019-06-10 Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015 Yazidi, Rihab Aissi, Wafa Bouguerra, Hind Nouira, Mariem Kharroubi, Ghassen Maazaoui, Latifa Zorraga, Mokhtar Abdeddaiem, Naima Chlif, Sadok El Moussi, Awatef Ben Hadj Kacem, Mohamed Ali Snoussi, Mohamed Ali Ghawar, Wissem Koubaa, Makram Polansky, Lauren McCarron, Margaret Boussarsar, Mohamed Menif, Khaled Amine, Slim Ben Khelil, Jalila Ben Jemaa, Mounir Bettaieb, Jihene Bouafif Ben Alaya, Nissaf Ben Salah, Afif BMC Public Health Research Article BACKGROUND: This study was initiated to evaluate, for the first time, the performance and quality of the influenza-like illness (ILI) surveillance system in Tunisia. METHODS: The evaluation covered the period of 2012–2015 and used different data sources to measure indicators related to data quality and completeness, representativeness, timeliness, simplicity, acceptability, flexibility, stability and utility. RESULTS: During the evaluation period, 485.221 ILI cases were reported among 6.386.621 outpatients at 268 ILI sentinel sites. To conserve resources, cases were only enrolled and tested for influenza during times when the number of patients meeting the ILI case definition exceeded 7% (10% after 2014) of the total number of outpatients for the week. When this benchmark was met, five to 10 patients were enrolled and sampled by nasopharyngeal swabs the following week. In total, The National Influenza Center (NIC) received 2476 samples, of which 683 (27.6%) were positive for influenza. The greatest strength of the system was its representativeness and flexibility. The timeliness of the data and the acceptability of the surveillance system performed moderately well; however, the utility of the data and the stability and simplicity of the surveillance system need improvement. Overall, the performance of the Tunisian influenza surveillance system was evaluated as performing moderately well for situational awareness in the country and for collecting representative influenza virologic samples. CONCLUSIONS: The influenza surveillance system in Tunisia provided pertinent evidence for public health interventions related to influenza situational awareness. To better monitor influenza, we propose that ILI surveillance should be limited to sites that are currently performing well and the quality of data collected should be closely monitored and improved. BioMed Central 2019-06-06 /pmc/articles/PMC6555026/ /pubmed/31170955 http://dx.doi.org/10.1186/s12889-019-7035-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yazidi, Rihab
Aissi, Wafa
Bouguerra, Hind
Nouira, Mariem
Kharroubi, Ghassen
Maazaoui, Latifa
Zorraga, Mokhtar
Abdeddaiem, Naima
Chlif, Sadok
El Moussi, Awatef
Ben Hadj Kacem, Mohamed Ali
Snoussi, Mohamed Ali
Ghawar, Wissem
Koubaa, Makram
Polansky, Lauren
McCarron, Margaret
Boussarsar, Mohamed
Menif, Khaled
Amine, Slim
Ben Khelil, Jalila
Ben Jemaa, Mounir
Bettaieb, Jihene
Bouafif Ben Alaya, Nissaf
Ben Salah, Afif
Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015
title Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015
title_full Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015
title_fullStr Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015
title_full_unstemmed Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015
title_short Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015
title_sort evaluation of the influenza-like illness surveillance system in tunisia, 2012–2015
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555026/
https://www.ncbi.nlm.nih.gov/pubmed/31170955
http://dx.doi.org/10.1186/s12889-019-7035-3
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