Objective: To determine the prevalence of internet addiction and its associated factors among undergraduate students attending medical universities in Myanmar. Methods: Internet addiction was assessed using Young’s internet addiction test. Multiple logistic regression analysis was applied to determine the factors associated with internet addiction. Altogether 950 students from all medical universities were included in the study voluntarily. Result: The prevalence of internet addiction in the study population was 72.2% (95%CI: 69.3%, 75.0%). According to the results of multiple logistic regression analysis, age, percentage of pocket money spent for internet, time spent per day using the internet, peer pressure, health-related behaviours (irregular meals, sleep disturbances, and missing social gatherings), and academic performance (postponement of the study and inability to concentrate on studying) were significant predictors of internet addiction. Conclusions: There is a high prevalence of internet addiction among Myanmar undergraduate medical students. Appropriate interventions, including promotion and strengthening of active and healthy lifestyles among students, should be implemented to prevent internet addiction and its adverse outcomes.

Objective: SARS-CoV-2 infection is an ongoing public health emergency of international significance. Considering that there is no specific drug and 100% effective vaccine yet, knowledge, attitude and practices (KAP) toward COVID-19 are crucial to prevent and manage the pandemic. This study aimed to assess knowledge, attitude and practices toward COVID-19 prevention measures of graduate students at a university in northwestern Ethiopia. Methods: A cross-sectional study design was conducted between September to December 2020. A structured questionnaire was used to collect data on socio-demographic characteristics and KAP of 407 randomly selected individuals. The data were exported to SPSS version 23.0, and bivariate and multivariate logistic regressions were used for analyses. Variables with P<0.25 in the bivariate logistic regression analysis were retained into the multivariable logistic regression models. The values were considered to be statistically significant (P≤0.05). The data quality control was tested by using 5% pretest. Results: Among 407 participants, 267 (65.6%) had sufficient knowledge, 239 (58.7%) had positive attitude and 189 (46.4%) had good practices toward COVID-19. Marital status (AOR 0.38; 95%CI 0.11-0.95; P=0.040) and student admission type (AOR 0.32; 95%CI 0.15-0.68; P=0.003) had a statistically significant association with knowledge of students. Residence (AOR 0.18; 95%CI 0.09-0.34; P<0.01) (AOR 0.16; 95%CI 0.07-0.36; P<0.01), family size (AOR 0.45; 95%CI 0.23-0.87, P=0.017) (AOR 0.29; 95%CI 0.14-0.60; P=0.001), student admission type (AOR 0.11: 95%CI 0.04-0.29, P<0.01) (AOR 0.01; 95%CI 0.00-0.05; P<0.01) and monthly income (AOR 0.17; 95%CI 0.05-0.58; P=0.005) (AOR 0.08; 95%CI 0.02-0.32; P<0.01) were significantly associated with positive attitude and good practices, respectively. Besides, good practices such as avoiding handshaking and physical distancing were performed in the least amount of participants. Conclusions: The scores of KAP among graduate students toward COVID-19 are low. It is recommended that university administrators reinforce proactive and effective measures to develop good knowledge, positive attitude, and better practices regarding COVID-19 for the students.