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1.
Malaysian Journal of Medicine & Health Sciences ; 19(3):229-234, 2023.
Article in English | Academic Search Complete | ID: covidwho-20239792

ABSTRACT

Introduction: The unprecedented COVID-19 pandemic has led to unavoidable new norms, including increasing demands for online learning. In view of the potential constraints to virtually learn anatomy among medical students, this study was conducted to identify the level of exposure towards online anatomy learning as well as the perceived constraints among medical students in a public university in Malaysia. Methods: A cross sectional study utilizing online survey was conducted during the movement control order (MCO) enforcement in Malaysia between March and October 2020 among all consented medical students at a public university in the Klang Valley area. The data was collected using a validated self-administered questionnaire which was distributed using Google Form application. Results: A total of 281 medical students consented and completed the online survey, with 94.3% students had low level of exposure towards online anatomy learning. Year of study and accessibility towards computing facilities and internet connection were significantly associated with online anatomy learning, with the non-clinical students are 19.9 (aOR= 19.888, B=2.990, 95%CI: 2.484-159.220) times more likely to have higher exposure towards online anatomy learning respectively. Conclusion: A very high proportion of medical students having low exposure towards online anatomy learning was observed in this study, which was predicted among the clinical students. Strengthening the utilization of online learning should be seriously considered in parallel with the new norms and the many uncertainties with COVID-19 pandemic, to ensure continuity of effective and quality learning. [ FROM AUTHOR] Copyright of Malaysian Journal of Medicine & Health Sciences is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

2.
PLoS One ; 16(7): e0253891, 2021.
Article in English | MEDLINE | ID: covidwho-1323008

ABSTRACT

Following the 2019 coronavirus disease (COVID-19) outbreak in China, undergraduate students may experience psychological changes. During emergency circumstances, social support is an important factor influencing the mental health condition among undergraduate students in Shaanxi province. This study aims to find the factors associated with mental health symptoms of depression, anxiety, and stress among undergraduate students in Shaanxi province during the COVID-19 pandemic in China. A cross-sectional study was conducted from Feb 23 to Mar 7, 2020. A total of 1278 undergraduate students from the universities located in Shaanxi province participated in this study. The mental health symptoms were measured by 12-item Perceived Social Support Scale (PSSS) and Depression Anxiety Stress Scale (DASS-21) instruments. This survey showed that females receive more social support compared to males (t = -5.046, P<0.001); males have higher-level depression symptoms (t = 5.624, P<0.001); males have higher-level anxiety symptoms (t = 6.332, P<0.001), males have higher-level stress symptoms (t = 5.58, P<0.001). This study also found participants who have low social support was negatively correlated with mental health symptoms. In Conclusion, Males and low social support were associated with having the higher level of depression, anxiety, and stress symptoms among undergraduate students in Shaanxi province during the COVID-19 pandemic in China. Therefore, it is suggested that people should supply more social support for undergraduate students in Shaanxi province during COVID-19 pandemic.


Subject(s)
Anxiety , COVID-19 , Depression , Quarantine , SARS-CoV-2 , Social Support , Stress, Psychological , Students , Adolescent , Adult , Anxiety/epidemiology , Anxiety/psychology , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19/psychology , China/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Depression/psychology , Female , Humans , Male , Stress, Psychological/epidemiology , Stress, Psychological/psychology
3.
Curr Med Res Opin ; 36(8): 1309-1311, 2020 08.
Article in English | MEDLINE | ID: covidwho-610435

ABSTRACT

Background: Like other affected countries around the globe, Malaysia is shocked by the Coronavirus disease 2019, which is also known as COVID-19.Aims: This commentary article discusses the COVID-19 scenario in Malaysia, particularly in relation to the sudden increase in the number of new cases related to an international mass gathering.Findings: Projection through modelling helps the relevant authorities to act quickly and effectively, including enforcement of physical and social distancing. Modelling also assists in understanding the link between the biological processes that underpin transmission events and the population-level dynamics of the disease.Conclusion: There is no one-size-fits-all approach in managing disease outbreak. The fight against COVID-19 very much depends on their attitude during the 14-day Movement Control Order (MCO) which has been extended recently.


Subject(s)
Communicable Disease Control , Coronavirus Infections , Pandemics , Pneumonia, Viral , Risk Assessment , Betacoronavirus/isolation & purification , COVID-19 , Change Management , Communicable Disease Control/methods , Communicable Disease Control/organization & administration , Coronavirus Infections/epidemiology , Coronavirus Infections/prevention & control , Disease Transmission, Infectious/prevention & control , Humans , Malaysia/epidemiology , Models, Statistical , Pandemics/prevention & control , Pneumonia, Viral/epidemiology , Pneumonia, Viral/prevention & control , Prognosis , Risk Assessment/methods , Risk Assessment/statistics & numerical data , SARS-CoV-2
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