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Meningococcal Meningitis Data Analysis, Amhara National Regional State of Ethiopia, 2015-2019; a Descriptive Cross-Sectional Study

Received: 3 January 2021    Accepted: 16 January 2021    Published: 30 January 2021
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Abstract

Background: Meningococcal meningitis is a disease of major public health importance especially for countries in the meningitis belt. The retrospective data analysis had provided helpful information to understand the current prevalence of meningococcal meningitis. The trends of meningococcal meningitis had provided useful estimates on the effect of seasonal variability of meningitis, and the distribution of disease burden. So the objective of this study is to assess and describes the magnitude and distribution of Meningitis in Amhara national regional state of Ethiopia from 2015- 2019. Method: Meningococcal meningitis surveillance data of the Amhara region from 2015-2019 were reviewed to describe the disease epidemiology. The study involves a retrospective descriptive analysis of collected clinical data and line list reported to EPHI from 2015-2019 through the Public Health Emergency Management Surveillance system. Result: Of the total 894 patients and 25 deaths, highly contributing zones were North Shewa with 195 (21.81%) patients, North Gondar with 145 (16.22%) patients, and South Wollo with 101(11.30%) patients. Of the total patients, 534 were treated as impatient patients while 371 were treated as outpatient patients. The regional patient fatality rate is 2.80 and the attack rate is 4.59 per 100,000 population. Meningococcal meningitis morbidity is high in North Gondar, South Wollo, and North Shewa, and mortality are high in North Shewa, South Wollo, and East Gojjam respectively. There was high morbidity with low mortality like in North Gondar and North Shewa. Conclusion: Meningococcal meningitis is affected by geographical factors common in arid areas. In epidemic week 38 of 2015 (dry season), there was a meningococcal meningitis outbreak in north Gondar specifically in west Armachiho district. Patient management is poor in those high mortality areas like North Shewa, South Wollo, and East Gojjam. Laboratory-based surveillance should be implemented to identify common serotypes of N. meningitides.

Published in Science Journal of Clinical Medicine (Volume 10, Issue 1)
DOI 10.11648/j.sjcm.20211001.11
Page(s) 1-6
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Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Meningococcal Meningitis, Outbreak, Meningitis Belt, Surveillance

References
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[2] Mohammed I, Nasidi A, Alkali AS, Garbati MA, et el, severe epidemic of meningococcal meningitis in Nigeria, 1996. Trans R Soc Trop Med Hyg. 2000.
[3] Kaburi BB, Kubio C, Kenu E, et al. Evaluation of bacterial meningitis surveillance data of the northern region, Ghana, 2010-2015. The Pan African Medical Journal. 2017.
[4] Norheim G, Rosenqvist E, Aseffa A, Yassin MA, Mengistu G, Kassu A, et al. Characterization of Neisseria meningitides isolates from recent outbreaks in Ethiopia and comparison with those recovered during the epidemic of 1988 to 1989.
[5] Wude Mihret, Tsehaynesh Lema, Yared Merid, Afework Kassu… Surveillance of Bacterial Meningitis, Ethiopia, 2012–2013.
[6] Li Y, Yin Z, Shao Z, Li M, Liang X, Sandhu HS, Hadler SC, Li J, Sun Y, Li J, et al.; Acute Meningitis and Encephalitis Syndrome Study Group. Population based surveillance for bacterial meningitis in China September 2006-December 2009. Emerg Infect Dis 2014.
[7] Habte-Gabr E, Muhe L, Mamo M. Meningococcal meningitis in Ethiopia 1974–1983 and strategies of control. Ethiop J Health Dev. 1984; 1:47–63.
[8] Fitzwater SP, Chandran A, Santosham M, Johnson HL. The worldwide impact of the seven-valent pneumococcal conjugate vaccine. Pediatr Infect Dis J. 2012; 31 (5): 501–8.
[9] Emergency preparedness, response. Meningococcal disease: 2013 epidemic season in the African Meningitis Belt (Accessed: 12-07-2016).
[10] Rosenstein NE, Perkins BA, Stephens DS, Lefkowitz L, Cartter ML, Danila R, Cieslak P, Shutt KA, Popovic T, Schuchat A, et al. The changing epidemiology of meningococcal disease in the United States, 1992–1996. J Infect Dis. 1999.
[11] Greenwood BM. 1999 Manson lecture. Meningococcal meningitis in Africa. Trans. Roy. Soc.Trop. Med. Hyg. 93, 341–353. (doi:10.1016/S0035-9203(99)90106-2)
[12] The Ethiopian health and nutrition research institution Federal republic of Ethiopia national guideline on Meningococcal Amenities surveillance and outbreak management: first edition November 2013.
[13] Control of epidemic meningococcal disease. WHO practical guidlines.2nd edition.
[14] WHO Disease Outbreak Report, 17 August 2000- Meningococcal disease in Ethiopia.
[15] Wude M, Tsehaynesh L, Yared M, Afework K, et el: Surveillance of Bacterial Meningitis, Ethiopia, 2012–2013, emerging infectious diseases journal, Volume 22, Number 1-2016.
[16] Mueller JE, Gessner BD. 2010 A hypothetica explanatory model for meningococcal meningitis in the African meningitis belt. Int. J. Infect. Dis. 14, 553–559. (doi: 10.1016/j.ijid.2009.08.013)
[17] Holliday, R. A, 2011. An Invitation to Health: Choosing to Change. J. Nutr.Educ. Behav. 43: 424.
[18] Leimkugel J, Hodgson A, Forgor AA, Pflu¨ger V, Dangy J-P, Smith T, Achtman S, Gagneux S, Pluschke G. 2007 Clonal waves of Neisseria colonisation and disease in the African meningitisbelt: eight-year longitudinal study in northern Ghana. PLoS Med. 4, 10. (doi:10.1371/journal.pmed.0040101)
[19] Infection symptoms and air humidity with meningococcal carriage in Burkina Faso. Trop. Med. Int. Health 13, 1543–1552. (doi:10.1111/j.1365- 3156.2008.02165.x)
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    Tesfahun Abye Meshesha, Kefyalew Amene, Tigist Abera, Rozina Tariku. (2021). Meningococcal Meningitis Data Analysis, Amhara National Regional State of Ethiopia, 2015-2019; a Descriptive Cross-Sectional Study. Science Journal of Clinical Medicine, 10(1), 1-6. https://doi.org/10.11648/j.sjcm.20211001.11

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    ACS Style

    Tesfahun Abye Meshesha; Kefyalew Amene; Tigist Abera; Rozina Tariku. Meningococcal Meningitis Data Analysis, Amhara National Regional State of Ethiopia, 2015-2019; a Descriptive Cross-Sectional Study. Sci. J. Clin. Med. 2021, 10(1), 1-6. doi: 10.11648/j.sjcm.20211001.11

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    AMA Style

    Tesfahun Abye Meshesha, Kefyalew Amene, Tigist Abera, Rozina Tariku. Meningococcal Meningitis Data Analysis, Amhara National Regional State of Ethiopia, 2015-2019; a Descriptive Cross-Sectional Study. Sci J Clin Med. 2021;10(1):1-6. doi: 10.11648/j.sjcm.20211001.11

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  • @article{10.11648/j.sjcm.20211001.11,
      author = {Tesfahun Abye Meshesha and Kefyalew Amene and Tigist Abera and Rozina Tariku},
      title = {Meningococcal Meningitis Data Analysis, Amhara National Regional State of Ethiopia, 2015-2019; a Descriptive Cross-Sectional Study},
      journal = {Science Journal of Clinical Medicine},
      volume = {10},
      number = {1},
      pages = {1-6},
      doi = {10.11648/j.sjcm.20211001.11},
      url = {https://doi.org/10.11648/j.sjcm.20211001.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjcm.20211001.11},
      abstract = {Background: Meningococcal meningitis is a disease of major public health importance especially for countries in the meningitis belt. The retrospective data analysis had provided helpful information to understand the current prevalence of meningococcal meningitis. The trends of meningococcal meningitis had provided useful estimates on the effect of seasonal variability of meningitis, and the distribution of disease burden. So the objective of this study is to assess and describes the magnitude and distribution of Meningitis in Amhara national regional state of Ethiopia from 2015- 2019. Method: Meningococcal meningitis surveillance data of the Amhara region from 2015-2019 were reviewed to describe the disease epidemiology. The study involves a retrospective descriptive analysis of collected clinical data and line list reported to EPHI from 2015-2019 through the Public Health Emergency Management Surveillance system. Result: Of the total 894 patients and 25 deaths, highly contributing zones were North Shewa with 195 (21.81%) patients, North Gondar with 145 (16.22%) patients, and South Wollo with 101(11.30%) patients. Of the total patients, 534 were treated as impatient patients while 371 were treated as outpatient patients. The regional patient fatality rate is 2.80 and the attack rate is 4.59 per 100,000 population. Meningococcal meningitis morbidity is high in North Gondar, South Wollo, and North Shewa, and mortality are high in North Shewa, South Wollo, and East Gojjam respectively. There was high morbidity with low mortality like in North Gondar and North Shewa. Conclusion: Meningococcal meningitis is affected by geographical factors common in arid areas. In epidemic week 38 of 2015 (dry season), there was a meningococcal meningitis outbreak in north Gondar specifically in west Armachiho district. Patient management is poor in those high mortality areas like North Shewa, South Wollo, and East Gojjam. Laboratory-based surveillance should be implemented to identify common serotypes of N. meningitides.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Meningococcal Meningitis Data Analysis, Amhara National Regional State of Ethiopia, 2015-2019; a Descriptive Cross-Sectional Study
    AU  - Tesfahun Abye Meshesha
    AU  - Kefyalew Amene
    AU  - Tigist Abera
    AU  - Rozina Tariku
    Y1  - 2021/01/30
    PY  - 2021
    N1  - https://doi.org/10.11648/j.sjcm.20211001.11
    DO  - 10.11648/j.sjcm.20211001.11
    T2  - Science Journal of Clinical Medicine
    JF  - Science Journal of Clinical Medicine
    JO  - Science Journal of Clinical Medicine
    SP  - 1
    EP  - 6
    PB  - Science Publishing Group
    SN  - 2327-2732
    UR  - https://doi.org/10.11648/j.sjcm.20211001.11
    AB  - Background: Meningococcal meningitis is a disease of major public health importance especially for countries in the meningitis belt. The retrospective data analysis had provided helpful information to understand the current prevalence of meningococcal meningitis. The trends of meningococcal meningitis had provided useful estimates on the effect of seasonal variability of meningitis, and the distribution of disease burden. So the objective of this study is to assess and describes the magnitude and distribution of Meningitis in Amhara national regional state of Ethiopia from 2015- 2019. Method: Meningococcal meningitis surveillance data of the Amhara region from 2015-2019 were reviewed to describe the disease epidemiology. The study involves a retrospective descriptive analysis of collected clinical data and line list reported to EPHI from 2015-2019 through the Public Health Emergency Management Surveillance system. Result: Of the total 894 patients and 25 deaths, highly contributing zones were North Shewa with 195 (21.81%) patients, North Gondar with 145 (16.22%) patients, and South Wollo with 101(11.30%) patients. Of the total patients, 534 were treated as impatient patients while 371 were treated as outpatient patients. The regional patient fatality rate is 2.80 and the attack rate is 4.59 per 100,000 population. Meningococcal meningitis morbidity is high in North Gondar, South Wollo, and North Shewa, and mortality are high in North Shewa, South Wollo, and East Gojjam respectively. There was high morbidity with low mortality like in North Gondar and North Shewa. Conclusion: Meningococcal meningitis is affected by geographical factors common in arid areas. In epidemic week 38 of 2015 (dry season), there was a meningococcal meningitis outbreak in north Gondar specifically in west Armachiho district. Patient management is poor in those high mortality areas like North Shewa, South Wollo, and East Gojjam. Laboratory-based surveillance should be implemented to identify common serotypes of N. meningitides.
    VL  - 10
    IS  - 1
    ER  - 

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