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Assessment of the Epidemiological Surveillance System for Bacterial Meningitis in Benin from 2016 to 2018: Case-by-Case Surveillance

Received: 31 July 2020     Accepted: 17 August 2020     Published: 27 August 2020
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Abstract

With the introduction of the new meningitis A conjugate vaccine in 2012, Benin has opted for case-by-case surveillance for bacterial meningitis. The study aims to assess the case-by-case surveillance system for the meningitis epidemic in Benin during the period 2016 to 2018. A retrospective and evaluative study with a mixed approach (qualitative and quantitative) was conducted, on the three sites identified for sentinel surveillance of meningitis in Benign. The evaluation of the performance of the surveillance system was based on the updated guidelines of the Center for Disease Prevention and Control to evaluate a public health surveillance system. All criteria except sensitivity, specificity and positive predictive value were measured. Semi-structured individual interviews were conducted with the agents of the surveillance system surveyed and the normative documents as well as the notice forms were examined. This study reveals that all the centers had the case definition and notification forms. The ratio of notified cases to registered cases was 0.77. We found that the monitoring system in place had five levels. The system performance was recognized with simplicity at 80.8%, good acceptability (completeness: 98.5%; Promptitude: 88.9%) and responsiveness of 85%. The completeness of the health facilities was 45%. This study shows that it is imperative to strengthen the knowledge of the actors involved in epidemiological surveillance through periodic training to improve the performance of the surveillance system.

Published in World Journal of Public Health (Volume 5, Issue 3)
DOI 10.11648/j.wjph.20200503.12
Page(s) 53-59
Creative Commons

This is an Open Access article, 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 or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Surveillance System Evaluation, Meningitis Epidemic, Benin from 2016 to 2018, Case-by-Case Surveillance

References
[1] T. M. Yaméogo, C. G. Kyelem, G. E. A. Poda, I. Sombié, M. S. Ouédraogo, A. Millogo (2010). Meningitis epidemic: assessment of surveillance and treatment of cases in the health centers of a Burkina Faso district. Bull. Soc. Pathol. Exot., 1-6, DOI 10.1007/s13149-010-0123-3.
[2] C. Lingani, C. Bergeron-Caron, J. M. Stuart, et al (2015). Meningococcal meningitis surveillance in the African meningitis belt, 2004–2013. Clin Infect Dis; 61 (Suppl 5): S410–5.
[3] C. L. Trotter, C. Lingani, K. Fernandez, et al (2017). Impact of MenAfriVac in nine countries of the African meningitis belt, 2010-15: an analysis of surveillance data. Lancet Infect Dis; 17: 867–72.
[4] World Health Organization and Centers for Disease Control and Prevention. Technical guidelines for integrated disease surveillance and response in the African region. Available at: https://www.cdc.gov/globalhealth/healthprotection/idsr/pdf/technicalguidelines/idsr-technical-guidelines-2ndedition_2010_english.pdf. Accessed 22 October 2019.
[5] World Health Organization (2019). Epidemic meningitis control in countries in the African meningitis belt, 2018. Wkly Epidemiol Rec; 94: 179–88.
[6] National Directorate of Public Health. National guide and standard operating procedures for case-by-case surveillance of bacterial meningitis. Ministry of Public Health of Benin-WHO. September, 2013, 80 p.
[7] T. P. Godjedo, M. N. Paraiso, A. J. Agbankpe, T. V. Dougnon, C. Degbey, A. Ahoyo, et al (2020). Case-By-Case Surveillance for Bacterial Meningitis in Benin: Data Analysis, 2016 to 2018. Open Journal of Epidemiology; (10): 1-14.
[8] Madjid Herida. Methods for evaluating public health surveillance systems. Public health and epidemiology. Université Paris-Saclay, 2016. Français. NNT: 2016SACLS279.
[9] Centers for Disease Control and Prevention. Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC working group. Mortality Morbidity Weekly Report [online]. 2004 [consulté le 15/10/2019]; (53 (N° RR-5)): 1-13. Disponible: http://www.cdc.gov/mmwr/preview/mmwrhtml/rr5305a1.htm.
[10] H. Veeken, K. Ritmeijer, B. Hausman (1998). Priority during a meningitis epidemic: vaccination or treatment? Bull World Health Organ, 76 (2): 135–41.
[11] G. Mengistu, K. Mitiku, W. Teferi (2003). Analysis and reporting of meningococcal meningitis epidemic in north Gondar 2001– 2002. Ethiop Med J, 41 (4): 319–31.
[12] S. Taylor, L. Shimp (2010). Using data to guide action in polio health communications: experience from the Polio Eradication Initiative (PEI). Health Commun, 15 Suppl 1: 48–65.
[13] M. Djilla, M. Konake, K. Kayentao, M. Sacko, A. Ag Iknane, D. Sissoko (2014). Evaluation of the epidemiological surveillance system for meningitis in the health district of commune VI of Bamako from 2011 to 2013. Mali Public Health, Tome 4, N° 001 & 002: 25-27.
[14] A. Dolo (2012). Evaluation of the epidemiological surveillance system for meningitis in the Kati health district in 2011. Bamako (Mali): University of Bamako.
Cite This Article
  • APA Style

    Togbemabou Primous Martial Godjedo, Moussiliou Noël Paraiso, Alidehou Jerrold Agbankpe, amegnon Victorien Dougnon, Yves Eric Denon, et al. (2020). Assessment of the Epidemiological Surveillance System for Bacterial Meningitis in Benin from 2016 to 2018: Case-by-Case Surveillance. World Journal of Public Health, 5(3), 53-59. https://doi.org/10.11648/j.wjph.20200503.12

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    ACS Style

    Togbemabou Primous Martial Godjedo; Moussiliou Noël Paraiso; Alidehou Jerrold Agbankpe; amegnon Victorien Dougnon; Yves Eric Denon, et al. Assessment of the Epidemiological Surveillance System for Bacterial Meningitis in Benin from 2016 to 2018: Case-by-Case Surveillance. World J. Public Health 2020, 5(3), 53-59. doi: 10.11648/j.wjph.20200503.12

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    AMA Style

    Togbemabou Primous Martial Godjedo, Moussiliou Noël Paraiso, Alidehou Jerrold Agbankpe, amegnon Victorien Dougnon, Yves Eric Denon, et al. Assessment of the Epidemiological Surveillance System for Bacterial Meningitis in Benin from 2016 to 2018: Case-by-Case Surveillance. World J Public Health. 2020;5(3):53-59. doi: 10.11648/j.wjph.20200503.12

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  • @article{10.11648/j.wjph.20200503.12,
      author = {Togbemabou Primous Martial Godjedo and Moussiliou Noël Paraiso and Alidehou Jerrold Agbankpe and amegnon Victorien Dougnon and Yves Eric Denon and Marie Hidjo and Honore Bankole},
      title = {Assessment of the Epidemiological Surveillance System for Bacterial Meningitis in Benin from 2016 to 2018: Case-by-Case Surveillance},
      journal = {World Journal of Public Health},
      volume = {5},
      number = {3},
      pages = {53-59},
      doi = {10.11648/j.wjph.20200503.12},
      url = {https://doi.org/10.11648/j.wjph.20200503.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20200503.12},
      abstract = {With the introduction of the new meningitis A conjugate vaccine in 2012, Benin has opted for case-by-case surveillance for bacterial meningitis. The study aims to assess the case-by-case surveillance system for the meningitis epidemic in Benin during the period 2016 to 2018. A retrospective and evaluative study with a mixed approach (qualitative and quantitative) was conducted, on the three sites identified for sentinel surveillance of meningitis in Benign. The evaluation of the performance of the surveillance system was based on the updated guidelines of the Center for Disease Prevention and Control to evaluate a public health surveillance system. All criteria except sensitivity, specificity and positive predictive value were measured. Semi-structured individual interviews were conducted with the agents of the surveillance system surveyed and the normative documents as well as the notice forms were examined. This study reveals that all the centers had the case definition and notification forms. The ratio of notified cases to registered cases was 0.77. We found that the monitoring system in place had five levels. The system performance was recognized with simplicity at 80.8%, good acceptability (completeness: 98.5%; Promptitude: 88.9%) and responsiveness of 85%. The completeness of the health facilities was 45%. This study shows that it is imperative to strengthen the knowledge of the actors involved in epidemiological surveillance through periodic training to improve the performance of the surveillance system.},
     year = {2020}
    }
    

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    AU  - Togbemabou Primous Martial Godjedo
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    AB  - With the introduction of the new meningitis A conjugate vaccine in 2012, Benin has opted for case-by-case surveillance for bacterial meningitis. The study aims to assess the case-by-case surveillance system for the meningitis epidemic in Benin during the period 2016 to 2018. A retrospective and evaluative study with a mixed approach (qualitative and quantitative) was conducted, on the three sites identified for sentinel surveillance of meningitis in Benign. The evaluation of the performance of the surveillance system was based on the updated guidelines of the Center for Disease Prevention and Control to evaluate a public health surveillance system. All criteria except sensitivity, specificity and positive predictive value were measured. Semi-structured individual interviews were conducted with the agents of the surveillance system surveyed and the normative documents as well as the notice forms were examined. This study reveals that all the centers had the case definition and notification forms. The ratio of notified cases to registered cases was 0.77. We found that the monitoring system in place had five levels. The system performance was recognized with simplicity at 80.8%, good acceptability (completeness: 98.5%; Promptitude: 88.9%) and responsiveness of 85%. The completeness of the health facilities was 45%. This study shows that it is imperative to strengthen the knowledge of the actors involved in epidemiological surveillance through periodic training to improve the performance of the surveillance system.
    VL  - 5
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Author Information
  • Epidemiological Surveillance Service, Ministry of Public Health, Cotonou, Benin

  • Research Unit in Applied Microbiology and Pharmacology of Natural Substances, Research Laboratory in Applied Biology, Polytechnic School of Abomey-Calavi, University of Abomey-Calavi, Cotonou, Benin

  • Research Unit in Applied Microbiology and Pharmacology of Natural Substances, Research Laboratory in Applied Biology, Polytechnic School of Abomey-Calavi, University of Abomey-Calavi, Cotonou, Benin

  • National Health Laboratory, Ministry of Public Health, Cotonou, Benin

  • Research Unit in Applied Microbiology and Pharmacology of Natural Substances, Research Laboratory in Applied Biology, Polytechnic School of Abomey-Calavi, University of Abomey-Calavi, Cotonou, Benin

  • National Health Laboratory, Ministry of Public Health, Cotonou, Benin

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