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Evaluation of National Event-Based Surveillance, Nigeria, 2016–2018

Nigeria Centres for Disease Control and Prevention established an event-based surveillance (EBS) system in 2016 to supplement traditional surveillance structures. The EBS system is comprised of an internet-based data mining tool and a call center. To evaluate the EBS system for usefulness, simplicit...

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Autores principales: Beebeejaun, Kazim, Elston, James, Oliver, Isabel, Ihueze, Adachioma, Ukenedo, Chika, Aruna, Olusola, Makava, Favour, Obiefuna, Ejezie, Eteng, Womi, Niyang, Mercy, Okereke, Ebere, Gobir, Bola, Ilori, Elsie, Ojo, Olubunmi, Ihekweazu, Chikwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920654/
https://www.ncbi.nlm.nih.gov/pubmed/33622473
http://dx.doi.org/10.3201/eid2703.200141
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author Beebeejaun, Kazim
Elston, James
Oliver, Isabel
Ihueze, Adachioma
Ukenedo, Chika
Aruna, Olusola
Makava, Favour
Obiefuna, Ejezie
Eteng, Womi
Niyang, Mercy
Okereke, Ebere
Gobir, Bola
Ilori, Elsie
Ojo, Olubunmi
Ihekweazu, Chikwe
author_facet Beebeejaun, Kazim
Elston, James
Oliver, Isabel
Ihueze, Adachioma
Ukenedo, Chika
Aruna, Olusola
Makava, Favour
Obiefuna, Ejezie
Eteng, Womi
Niyang, Mercy
Okereke, Ebere
Gobir, Bola
Ilori, Elsie
Ojo, Olubunmi
Ihekweazu, Chikwe
author_sort Beebeejaun, Kazim
collection PubMed
description Nigeria Centres for Disease Control and Prevention established an event-based surveillance (EBS) system in 2016 to supplement traditional surveillance structures. The EBS system is comprised of an internet-based data mining tool and a call center. To evaluate the EBS system for usefulness, simplicity, acceptability, timeliness, and data quality, we performed a descriptive analysis of signals received during September 2017–June 2018. We used questionnaires, semistructured interviews, and direct observation to collect information from EBS staff. Amongst 43,631 raw signals detected, 138 (0.3%) were escalated; 63 (46%) of those were verified as events, including 25 Lassa fever outbreaks and 13 cholera outbreaks. Interviewees provided multiple examples of earlier outbreak detections but suggested notifications and logging could be improved to ensure action. EBS proved effective in detecting outbreaks, but we noted clear opportunities for efficiency gains. We recommend improving signal logging, standardizing processes, and revising outputs to ensure appropriate public health action.
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spelling pubmed-79206542021-03-04 Evaluation of National Event-Based Surveillance, Nigeria, 2016–2018 Beebeejaun, Kazim Elston, James Oliver, Isabel Ihueze, Adachioma Ukenedo, Chika Aruna, Olusola Makava, Favour Obiefuna, Ejezie Eteng, Womi Niyang, Mercy Okereke, Ebere Gobir, Bola Ilori, Elsie Ojo, Olubunmi Ihekweazu, Chikwe Emerg Infect Dis Synopsis Nigeria Centres for Disease Control and Prevention established an event-based surveillance (EBS) system in 2016 to supplement traditional surveillance structures. The EBS system is comprised of an internet-based data mining tool and a call center. To evaluate the EBS system for usefulness, simplicity, acceptability, timeliness, and data quality, we performed a descriptive analysis of signals received during September 2017–June 2018. We used questionnaires, semistructured interviews, and direct observation to collect information from EBS staff. Amongst 43,631 raw signals detected, 138 (0.3%) were escalated; 63 (46%) of those were verified as events, including 25 Lassa fever outbreaks and 13 cholera outbreaks. Interviewees provided multiple examples of earlier outbreak detections but suggested notifications and logging could be improved to ensure action. EBS proved effective in detecting outbreaks, but we noted clear opportunities for efficiency gains. We recommend improving signal logging, standardizing processes, and revising outputs to ensure appropriate public health action. Centers for Disease Control and Prevention 2021-03 /pmc/articles/PMC7920654/ /pubmed/33622473 http://dx.doi.org/10.3201/eid2703.200141 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Synopsis
Beebeejaun, Kazim
Elston, James
Oliver, Isabel
Ihueze, Adachioma
Ukenedo, Chika
Aruna, Olusola
Makava, Favour
Obiefuna, Ejezie
Eteng, Womi
Niyang, Mercy
Okereke, Ebere
Gobir, Bola
Ilori, Elsie
Ojo, Olubunmi
Ihekweazu, Chikwe
Evaluation of National Event-Based Surveillance, Nigeria, 2016–2018
title Evaluation of National Event-Based Surveillance, Nigeria, 2016–2018
title_full Evaluation of National Event-Based Surveillance, Nigeria, 2016–2018
title_fullStr Evaluation of National Event-Based Surveillance, Nigeria, 2016–2018
title_full_unstemmed Evaluation of National Event-Based Surveillance, Nigeria, 2016–2018
title_short Evaluation of National Event-Based Surveillance, Nigeria, 2016–2018
title_sort evaluation of national event-based surveillance, nigeria, 2016–2018
topic Synopsis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920654/
https://www.ncbi.nlm.nih.gov/pubmed/33622473
http://dx.doi.org/10.3201/eid2703.200141
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