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Covid-19 vaccination satisfaction among the inhabitants of Niger State, North Central, Nigeria

Authors: Sheshi , I.M.; Jiya, S,N.;

Covid-19 vaccination satisfaction among the inhabitants of Niger State, North Central, Nigeria

Abstract

Introduction: With the rapidly spreading COVID-19 infection around the world in 2020, international alliance and governments mobilized resources to produce multiple vaccine within the shortest period and it was discovered to be the single most effective agent to contain the virus.Objectives: This study aimed to determine the satisfaction of participants with the Covid-19 vaccination exercise carried out in Niger State.Methods: This study was a cross-sectional descriptive design in which the respondents were randomly selected from the selected vaccination cluster(site). Exit interview was conducted among 388 respondents with pre-tested semi-structured questionnaire. SPSS version 27 and AMOS software were used to carry out the analysis.Results: Overall level of satisfaction was found to be 53.6%. The reliability coefficient was Cronbach alpha 0.882. SEM revealed that all the dimensions studied influence level of satisfaction (p=0.000).There was significant associations between age and occupation with level of satisfaction (p<0.05). Multi variate binary logistic regression did not reveal any significant predictor of satisfaction among the socio demographic variables (p>0.05).Conclusion: The marginal increase level of satisfaction underscores the need to resolve the variables the clients were dissatisfied with. The health workers carrying the immunization process should be retrained on the needs of the clients.

Keywords

Clients' satisfaction, Covid19 vaccination, Niger State, North-central Nigeria

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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