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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2021
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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. |
format | Online Article Text |
id | pubmed-7920654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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