ArticleData in brief2018
Dataset on the knowledge, attitudes and practices of university students towards antibiotics.
Article in Data in brief, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Status and implications of the knowledge, attitudes and practices towards AWaRe antibiotic use, resistance and stewardship among low- and middle-income countries.JAC-antimicrobial resistance · 2025Review
- Assessment of knowledge, attitudes, and practices about antibiotic resistance among medical students in India.Journal of family medicine and primary care · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.