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Evaluation of Ethiopian Influenza Sentinel Surveillance System

Received: 30 November 2020     Accepted: 14 December 2020     Published: 22 January 2021
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Abstract

Background: Ethiopia conducts influenza sentinel surveillance since 2008 in eight sites through the coordination of Ethiopian Public Health Institute although little is known whether the system meets its objective. Hence, this evaluation is conducted to evaluate the sentinel surveillance attributes, purposes and its operation system. Method: A cross-sectional descriptive study was conducted from February 15-30, 2017 in all eight Sentinel sites. Data were collected using US-CDC updated surveillance guideline and Interview with influenza sentinel surveillance focal persons, regional public health emergency officers and national surveillance officers. Case based reports of influenza like illness and severe acute respiratory illness were also reviewed. Secondary data were collected from the national public health emergency management center based at EPHI. We analyzed and compiled the data. Results: Not all the visited health facilities have posted the ILI and SARI cases definition. None of the sentinel sites have been reporting influenza data to their next higher level but to the national PHEM (NIL). All focal persons have responded that they are expected to do so. Data is only being analyzed by national PHEM. Supportive supervision was done this month (February, 2017) since 2014. Laboratory feedback (test result) has been provided irregularly since May 2016 by the national influenza laboratory to sentinel sites and respective regional PHEM. All of focal persons have taken training on influenza surveillance. The positive predictive value (PPV) was 21.35% (n=4922). Among a total of 5,097 case based reports from 2008-2016, 47 (0.9%) age variable, 385 (7.5%) temperature variable, and 103 (2%) date of specimen collection were not filled. Conclusion: Although focal persons are satisfied with the forms and procedures involved, they are not filling formats properly as expected and reporting regularly as scheduled neither to the national PHEM nor to the next higher level. The influenza sentinel surveillance system has proven to be useful in providing virological data used to characterize and monitor influenza trends in Ethiopia. Continuous supportive supervision should be in placed using checklist to increase the quality of data. Data should be continuously analyzed and feedback should be given periodically to health care provider and partners.

Published in Automation, Control and Intelligent Systems (Volume 9, Issue 1)
DOI 10.11648/j.acis.20210901.12
Page(s) 1-5
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), 2021. Published by Science Publishing Group

Keywords

Surveillance, Evaluation, Influenza, Ethiopia

References
[1] WHO. Communicable disease surveillance and response systems. 2006. 1 p.
[2] CDC. Overview of Evaluating Surveillance Systems. 2013. 2 p.
[3] (CDC) C for DC and P. Updated Guidelines for Evaluating Public Health Surveillance Systems Recommendations. Vol. 50. 2001. 3 p.
[4] WHO. Interim Global Epidemiological Surveillance Standards for Influenza [Internet]. 2012. 1 p. Available from: http://www.who.int/influenza/resources/documents/INFSURVMANUAL.pdf?ua=1
[5] World Health Assembly S. Pandemic influenza preparedness : sharing of influenza viruses and access to vaccines and other benefits. In 2011. p. 3–4.
[6] Ngugi BK. evaluating the quality and usefulness of data from current hiv / aids surveillance systems in usa methodology / approach. 2009: 1–13.
[7] CDC. CDC surveillance evaluation. 2001. 1-35 p.
[8] Fahey RL, Fahey R. Evaluation of the System Attributes of Timeliness and Completeness of the West Virginia Electronic Disease Surveillance System â€TM NationalEDSS Based System This is to certify that the doctoral dissertation by. 2015;
[9] FMoH E. Influenza Sentinel Surveillance,. 2012. 3 p.
[10] World Health Organization. Global Epidemiological Surveillance Standards for Influenza. Igarss 2014. 2014. 54 p.
[11] Abyot--An Evaluation of Ethiopian Influenza like Illness. 2012.
[12] Woyessa AB, Belay D alegn, Mengesha M, Zemelak E, Beyene B, Kasa W, et al. Epidemiology of Influenza in Ethiopia: Findings from Influenza Sentinel Surveillance and Respiratory Infection Outbreaks Investigation, 2009-2015. Vol. 891. 2015.
[13] Daouda Coulibaly, Hervé KADJO, Anderson K. N’gattia, Abdoulaye OUATTARA, Djibril Cherif, Kouakou K. Bertin, JP Yao Kouamé NSD. OPTIONS IX for Influenza. OPTIONS IX Influ. 2016; (August): 270.
[14] Randrianasolo L, Guillebaud J, Razanajatovo N, Andriamampionona L, Tempia S, Piola P, et al. Evaluation of the Influenza Sentinel Surveillance System in Madagascar, • Influenza sentinel surveillance has been established. In 2014. p. 1–26.
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    Desalegn Takele, Shikur Mohamed. (2021). Evaluation of Ethiopian Influenza Sentinel Surveillance System. Automation, Control and Intelligent Systems, 9(1), 1-5. https://doi.org/10.11648/j.acis.20210901.12

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    ACS Style

    Desalegn Takele; Shikur Mohamed. Evaluation of Ethiopian Influenza Sentinel Surveillance System. Autom. Control Intell. Syst. 2021, 9(1), 1-5. doi: 10.11648/j.acis.20210901.12

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    AMA Style

    Desalegn Takele, Shikur Mohamed. Evaluation of Ethiopian Influenza Sentinel Surveillance System. Autom Control Intell Syst. 2021;9(1):1-5. doi: 10.11648/j.acis.20210901.12

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  • @article{10.11648/j.acis.20210901.12,
      author = {Desalegn Takele and Shikur Mohamed},
      title = {Evaluation of Ethiopian Influenza Sentinel Surveillance System},
      journal = {Automation, Control and Intelligent Systems},
      volume = {9},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.acis.20210901.12},
      url = {https://doi.org/10.11648/j.acis.20210901.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20210901.12},
      abstract = {Background: Ethiopia conducts influenza sentinel surveillance since 2008 in eight sites through the coordination of Ethiopian Public Health Institute although little is known whether the system meets its objective. Hence, this evaluation is conducted to evaluate the sentinel surveillance attributes, purposes and its operation system. Method: A cross-sectional descriptive study was conducted from February 15-30, 2017 in all eight Sentinel sites. Data were collected using US-CDC updated surveillance guideline and Interview with influenza sentinel surveillance focal persons, regional public health emergency officers and national surveillance officers. Case based reports of influenza like illness and severe acute respiratory illness were also reviewed. Secondary data were collected from the national public health emergency management center based at EPHI. We analyzed and compiled the data. Results: Not all the visited health facilities have posted the ILI and SARI cases definition. None of the sentinel sites have been reporting influenza data to their next higher level but to the national PHEM (NIL). All focal persons have responded that they are expected to do so. Data is only being analyzed by national PHEM. Supportive supervision was done this month (February, 2017) since 2014. Laboratory feedback (test result) has been provided irregularly since May 2016 by the national influenza laboratory to sentinel sites and respective regional PHEM. All of focal persons have taken training on influenza surveillance. The positive predictive value (PPV) was 21.35% (n=4922). Among a total of 5,097 case based reports from 2008-2016, 47 (0.9%) age variable, 385 (7.5%) temperature variable, and 103 (2%) date of specimen collection were not filled. Conclusion: Although focal persons are satisfied with the forms and procedures involved, they are not filling formats properly as expected and reporting regularly as scheduled neither to the national PHEM nor to the next higher level. The influenza sentinel surveillance system has proven to be useful in providing virological data used to characterize and monitor influenza trends in Ethiopia. Continuous supportive supervision should be in placed using checklist to increase the quality of data. Data should be continuously analyzed and feedback should be given periodically to health care provider and partners.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Evaluation of Ethiopian Influenza Sentinel Surveillance System
    AU  - Desalegn Takele
    AU  - Shikur Mohamed
    Y1  - 2021/01/22
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    DO  - 10.11648/j.acis.20210901.12
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    JF  - Automation, Control and Intelligent Systems
    JO  - Automation, Control and Intelligent Systems
    SP  - 1
    EP  - 5
    PB  - Science Publishing Group
    SN  - 2328-5591
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    AB  - Background: Ethiopia conducts influenza sentinel surveillance since 2008 in eight sites through the coordination of Ethiopian Public Health Institute although little is known whether the system meets its objective. Hence, this evaluation is conducted to evaluate the sentinel surveillance attributes, purposes and its operation system. Method: A cross-sectional descriptive study was conducted from February 15-30, 2017 in all eight Sentinel sites. Data were collected using US-CDC updated surveillance guideline and Interview with influenza sentinel surveillance focal persons, regional public health emergency officers and national surveillance officers. Case based reports of influenza like illness and severe acute respiratory illness were also reviewed. Secondary data were collected from the national public health emergency management center based at EPHI. We analyzed and compiled the data. Results: Not all the visited health facilities have posted the ILI and SARI cases definition. None of the sentinel sites have been reporting influenza data to their next higher level but to the national PHEM (NIL). All focal persons have responded that they are expected to do so. Data is only being analyzed by national PHEM. Supportive supervision was done this month (February, 2017) since 2014. Laboratory feedback (test result) has been provided irregularly since May 2016 by the national influenza laboratory to sentinel sites and respective regional PHEM. All of focal persons have taken training on influenza surveillance. The positive predictive value (PPV) was 21.35% (n=4922). Among a total of 5,097 case based reports from 2008-2016, 47 (0.9%) age variable, 385 (7.5%) temperature variable, and 103 (2%) date of specimen collection were not filled. Conclusion: Although focal persons are satisfied with the forms and procedures involved, they are not filling formats properly as expected and reporting regularly as scheduled neither to the national PHEM nor to the next higher level. The influenza sentinel surveillance system has proven to be useful in providing virological data used to characterize and monitor influenza trends in Ethiopia. Continuous supportive supervision should be in placed using checklist to increase the quality of data. Data should be continuously analyzed and feedback should be given periodically to health care provider and partners.
    VL  - 9
    IS  - 1
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Author Information
  • Public Health Emergency Management, Ethiopian Public Health Institute, Addis Ababa, Ethiopia

  • Department of Public Health, Saint Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia

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