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Adverse event following vaccine surveillance in Kaduna State, Northwestern Nigeria (January 2018 - June 2019): analysis of health facility's records
被引:1
|作者:
Ishaku, Sambo Godwin
[1
]
Umeh, Gregory
[1
]
Adzu, Bulus
[2
]
Onimisi, Anthony
[3
]
Dauda, Madubu
[1
]
Iyal, Hadiza Aliyu
[1
]
Iliyasu, Neyu
[4
]
Sunday, Danjuma Jenom
[5
]
Daikwo, Jeremiah
[5
]
Yates, Sannom Mildred
[6
]
Ibrahim, Ibrahim Idris
[1
]
Samaila, Lami Hajara
[1
]
Abdullahi, Basirat
[1
]
Parom, Stephen Kadarko
[7
]
Maiwashi, Kabir Yusuf
[8
]
Zakari, Fureratu
[3
]
Nuhu, Kase Sarah
[9
]
机构:
[1] WHO, Kaduna State Off, Kaduna, Nigeria
[2] Natl Inst Pharmaceut Res & Dev, Dept Pharmacol & Toxicol, Abuja, Nigeria
[3] WHO, Abuja, Nigeria
[4] Kaduna State Primary Healthcare Board, Kaduna, Nigeria
[5] Minist Hlth & Social Serv, Kaduna, Nigeria
[6] Kaduna State Univ, Barau Dikko Teaching Hosp, Kaduna, Nigeria
[7] Kaduna State Univ, Fac Pharmaceut Sci, Kaduna, Nigeria
[8] Natl Primary Hlth Care Dev Agcy, Abuja, Nigeria
[9] Kaduna State Univ, Dept Med Lab Sci, Kaduna, Nigeria
关键词:
Immunization;
surveillance;
Kaduna State;
IMMUNIZATION;
AGE;
D O I:
10.11604/pamj.2021.40.268.26961
中图分类号:
R1 [预防医学、卫生学];
学科分类号:
1004 ;
120402 ;
摘要:
Introduction: Adverse Events Following Immunization (AEFI) are one of the main reasons for inadequate immunization coverage in Kaduna State, and AEFI underreporting serves as a barrier to achieving goals of global pharmaco-vigilance for vaccine. The purpose of this study is to estimate the completeness of variables in the AEFI line-listing forms, calculate AEFI reporting rates by Local Government Areas & vaccine type and profile the reported cases according to their reactions. Methods: we conducted a descriptive, cross-sectional, retrospective study of primary surveillance records. We calculated AEFI reporting rates in the State and Local Government areas and AEFI Vaccine reaction rates to the various antigens. We used Binary logistic regression to determine the association between gender and vaccine reactions. Results: seven thousand eight hundred and twenty-four (7,824) AEFI cases were reported. The completeness of variables on the filled AEFI line-list varied from 21% to 100%. The State had a high AEFI reporting rate of 9.09 per 10,000 administered doses. Fever (<38oC) was the main AEFI reaction. Severe AEFI cases accounted for only 0.89% of the total reported cases. Pentavalent vaccine was the suspect antigen responsible for the highest number of AEFI cases, with a vaccine reaction rate of 44.77 per 10,000 doses. The Zaria Local Government area had the highest AEFI reporting rate, while the Sanga Local Government area had the lowest AEFI reporting rate in the State. The difference between genders in the number of reported AEFI cases was not statistically significant (p>0.05). There were 35% higher odds of occurrence of bleeding among males than among females (aOR: 1.354; P-value: p=.012; 95% CI: 1.070-1.715; Nagelkerke-R2-: 0.003). The other reactions were not significantly related to gender. Conclusion: our study shows a higher occurrence of severe AEFI in subjects undergoing pentavalent vaccine. This caused the highest incidence of AEFI. There was no significant association between gender and AEFI reactions.
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