Ayepola Olayemi O, Onile-Ere Olabode A, Shodeko Oluwatobi E, Akinsiku Fiyinfolouwa A, Ani Percy E, Egwari Louis
Department of Biological Sciences, Covenant university, Ogun State, Nigeria.
Data Brief. 2018 Jun 30;19:2084-2094. doi: 10.1016/j.dib.2018.06.090. eCollection 2018 Aug.
Antibiotic resistance is a major public health issue globally fuelled largely by its misuse. Controlling this problem would require an understanding of the levels of awareness of the population towards antibiotics. The data presented here was obtained from undergraduate students attending a Nigerian University in the first three months of the year 2016. The data is stratified by such demographic variables as age, sex and level of study. It contains information about the knowledge, and predispositions of participants to antibiotics and antibiotic resistance. Preliminary descriptive statistics are presented in the tables and figures herewith. Data was analysed using SPSS-20 and is available for reuse in the native SPSS format. In concluding, this data can be used to model the determinants of antibiotic knowledge among students.
抗生素耐药性是一个全球性的重大公共卫生问题,主要是由其滥用所导致。控制这一问题需要了解民众对抗生素的认知水平。此处呈现的数据来自于2016年前三个月在一所尼日利亚大学就读的本科生。数据按年龄、性别和学习水平等人口统计学变量进行了分层。它包含了参与者对抗生素及抗生素耐药性的知识和倾向方面的信息。初步描述性统计结果列于随附的表格和图表中。数据使用SPSS-20进行了分析,并以原生SPSS格式可供再次使用。总之,这些数据可用于构建学生抗生素知识的决定因素模型。