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Evaluation of the enhanced meningitis surveillance system, Yendi municipality, northern Ghana, 2010–2015
BACKGROUND: Meningitis is the inflammation of the meninges of the brain and or spinal cord. Global mortality rates vary from 2% to 30%. Epidemic meningitis remains a public health concern along the meningitis belt of Africa. Despite the operation of an enhanced meningitis surveillance system in Ghan...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404286/ https://www.ncbi.nlm.nih.gov/pubmed/28438133 http://dx.doi.org/10.1186/s12879-017-2410-0 |
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author | Kaburi, Basil Benduri Kubio, Chrysantus Kenu, Ernest Nyarko, Kofi Mensah Mahama, Jacob Yakubu Sackey, Samuel Oko Afari, Edwin Andrew |
author_facet | Kaburi, Basil Benduri Kubio, Chrysantus Kenu, Ernest Nyarko, Kofi Mensah Mahama, Jacob Yakubu Sackey, Samuel Oko Afari, Edwin Andrew |
author_sort | Kaburi, Basil Benduri |
collection | PubMed |
description | BACKGROUND: Meningitis is the inflammation of the meninges of the brain and or spinal cord. Global mortality rates vary from 2% to 30%. Epidemic meningitis remains a public health concern along the meningitis belt of Africa. Despite the operation of an enhanced meningitis surveillance system in Ghana, institutional mortality rates are estimated to range from 36% to 50%. In 2014, Yendi recorded 83 confirmed cases; with focal epidemics in some sub-municipals. We evaluated the system over a five-year period to find out whether it was achieving its objectives of systematic collection and analyses of data for the prevention or early detection of meningitis epidemics. METHODS: We used cross-sectional design. Both qualitative and quantitative data from Yendi Municipality between January 2010 and December 2015 were collected and analyzed. The updated guidelines for evaluating surveillance systems from Centers for Disease Control and Prevention were used. Content analysis was performed on the responses of key informants. Surveillance data was analyzed using MS-Excel. RESULTS: Fifteen healthcare workers were interviewed. For the period under evaluation, the annual incidence of meningitis ranged from 1.6/100,000 in 2012 to 62.6/100,000 in 2014. The average case fatality rate for the period was 8.3%. The system was sensitive, representative, and acceptable. The predictive value positive was 100% from 2010 to 2014 and 63.3% in 2015. Data quality was good, but timeliness of reporting was poor. CONCLUSIONS: The enhanced meningitis surveillance system in Yendi Municipality is achieving most of its objectives. However, financial constraints and poor personnel motivation pose threats to the sustainability of the system. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-017-2410-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5404286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54042862017-04-27 Evaluation of the enhanced meningitis surveillance system, Yendi municipality, northern Ghana, 2010–2015 Kaburi, Basil Benduri Kubio, Chrysantus Kenu, Ernest Nyarko, Kofi Mensah Mahama, Jacob Yakubu Sackey, Samuel Oko Afari, Edwin Andrew BMC Infect Dis Research Article BACKGROUND: Meningitis is the inflammation of the meninges of the brain and or spinal cord. Global mortality rates vary from 2% to 30%. Epidemic meningitis remains a public health concern along the meningitis belt of Africa. Despite the operation of an enhanced meningitis surveillance system in Ghana, institutional mortality rates are estimated to range from 36% to 50%. In 2014, Yendi recorded 83 confirmed cases; with focal epidemics in some sub-municipals. We evaluated the system over a five-year period to find out whether it was achieving its objectives of systematic collection and analyses of data for the prevention or early detection of meningitis epidemics. METHODS: We used cross-sectional design. Both qualitative and quantitative data from Yendi Municipality between January 2010 and December 2015 were collected and analyzed. The updated guidelines for evaluating surveillance systems from Centers for Disease Control and Prevention were used. Content analysis was performed on the responses of key informants. Surveillance data was analyzed using MS-Excel. RESULTS: Fifteen healthcare workers were interviewed. For the period under evaluation, the annual incidence of meningitis ranged from 1.6/100,000 in 2012 to 62.6/100,000 in 2014. The average case fatality rate for the period was 8.3%. The system was sensitive, representative, and acceptable. The predictive value positive was 100% from 2010 to 2014 and 63.3% in 2015. Data quality was good, but timeliness of reporting was poor. CONCLUSIONS: The enhanced meningitis surveillance system in Yendi Municipality is achieving most of its objectives. However, financial constraints and poor personnel motivation pose threats to the sustainability of the system. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-017-2410-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-24 /pmc/articles/PMC5404286/ /pubmed/28438133 http://dx.doi.org/10.1186/s12879-017-2410-0 Text en © The Author(s). 2017 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 Kaburi, Basil Benduri Kubio, Chrysantus Kenu, Ernest Nyarko, Kofi Mensah Mahama, Jacob Yakubu Sackey, Samuel Oko Afari, Edwin Andrew Evaluation of the enhanced meningitis surveillance system, Yendi municipality, northern Ghana, 2010–2015 |
title | Evaluation of the enhanced meningitis surveillance system, Yendi municipality, northern Ghana, 2010–2015 |
title_full | Evaluation of the enhanced meningitis surveillance system, Yendi municipality, northern Ghana, 2010–2015 |
title_fullStr | Evaluation of the enhanced meningitis surveillance system, Yendi municipality, northern Ghana, 2010–2015 |
title_full_unstemmed | Evaluation of the enhanced meningitis surveillance system, Yendi municipality, northern Ghana, 2010–2015 |
title_short | Evaluation of the enhanced meningitis surveillance system, Yendi municipality, northern Ghana, 2010–2015 |
title_sort | evaluation of the enhanced meningitis surveillance system, yendi municipality, northern ghana, 2010–2015 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404286/ https://www.ncbi.nlm.nih.gov/pubmed/28438133 http://dx.doi.org/10.1186/s12879-017-2410-0 |
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