Article: Knowledge and perceptions about COVID-19 among the medical and allied health science students in India: An online cross-sectional survey.
Clinical epidemiology and global health
2020 Volume 9, Page(s) 104–109
Abstract: Background: An infection (COVID-19) without any specific cure makes the people more vulnerable to get affected due to insufficient knowledge and unhealthy practices. In this scenario, healthcare students can act as reliable information providers. This ... ...
| Abstract | Background: An infection (COVID-19) without any specific cure makes the people more vulnerable to get affected due to insufficient knowledge and unhealthy practices. In this scenario, healthcare students can act as reliable information providers. This study aimed to assess the knowledge and perception about COVID-19 among medical and allied health science students. Methods: A web-based cross sectional survey was conducted during February and March 2020. A 24-item survey was developed and randomly distributed among the study population. Descriptive statistics was applied to represent participant characteristics and Chi-square test was used to evaluate the level of association among variables with a significance level of Results: Total, 97.95% (715/730) participants completed the survey. High proportion of students were from pharmacy (45.73%) followed by medical (22.52%), physiotherapy, nursing and dental background. Majority of participants were having adequate knowledge while about 18% had partial knowledge about the symptoms of severe COVID-19 cases. Students have shown a positive perception of COVID-19 prevention and control while few invalid responses related to the use of herbal medicines or garlic were noted. About 50% had rightly stated that, the antibiotics and vaccine are not effective in COVID-19 infection at present. Conclusion: As the COVID-19 cases are rapidly increasing |
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| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-08-12 |
| Publishing country | India |
| Document type | Journal Article |
| ISSN | 2452-0918 |
| ISSN | 2452-0918 |
| DOI | 10.1016/j.cegh.2020.07.008 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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