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Background:The coronavirus disease pandemic disrupted the normal social and economic activities of the people resulting in over 3 million deaths worldwide. Piece of literature depicted that predictors of vaccine acceptance are complex, multiple, and vary depending on the type of vaccine involved. Objective:The study aimed at assessing the COVID-19 acceptance and its predictors among college students in Addis Ababa, Ethiopia, 2021. Methods: A multi-center-institutional-based cross-sectional study was conducted among 407 participants from three institutions in Addis Ababa selected based on a simple random sampling method from May 01 to July 30, 2021. A self-administered structured questionnaire was used for the collection of data, after which informed consent was obtained from all the included study participants. Descriptive statistics was used for the summarization of the data. Binary (bivariate and multivariate) logistic regression was applied for the identification predictors of vaccine acceptance with their respective 95% confidence interval and less than 5% p-value for the ascertainment of presence of association.

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