Evaluating Training Need for Epidemic Control in Three Metropolitans: Implications for COVID-19 Preparedness in Vietnam.

Upon the outbreak of the COVID-19 pandemic, countries worldwide face a critical shortage of human resources in the health sector. Medical students are a potential task force with the capability to support the stretched health sector. This study aims to evaluate their training need for epidemic control in order to employ them effectively. A cross-sectional study was conducted using a web-based survey from December 2019 to February 2020. There were 5,786 observations collected using the snowball sampling technique. Logistic regression was applied to identify factors associated with training participation in epidemic prevention and disaster prevention. Multiple Poisson regression model was constructed to examine factors associated with the number of times they participated in sanitation training and disaster prevention activities in the previous 12 months. Sanitation and health education communication activities had the highest proportion of participants, with 76.5 and 38.4%, followed by examining and treating diseases in the community (13.4%). Those who participated in community activities had a higher number of times to participate in epidemic sanitation training and be involved in disaster prevention. This study informed the need for training programs to prepare medical students for COVID-19 epidemic responses. The training curriculum should include both theoretical approaches and contextual approaches to achieve efficient epidemic control.

Perceptions and Attitudes Toward COVID-19-Related National Response Measures of Vietnamese: Implications for Pandemic Prevention and Control.

Introduction: Public perceptions and attitudes toward preventive and control measures are vital to ensure the success of national response strategies in combating COVID-19. This study assessed perceptions and attitudes via the importance of national response measures to COVID-19 among people under the nationwide partial lockdown of Vietnam. Methods: An online cross-sectional survey was conducted on 1382 people in Vietnam mainly public administration and health workers with relatives. Perceptions and attitudes toward seven national response measures to COVID-19 epidemics were assessed. Multivariable Tobit regression models were employed to identify factors associated with the perceptions. Results: The proportion of participants strongly agreeing with the measure "Isolate people from abroad and people in contact with people infected with COVID 19" was the highest (96.9%), following by the measure "Obligatory to wear face masks in public places" (96.8%), and "Blockade of places having new cases" (92.9%). Living in the Southern region, having a family with more than 5 people, and having post-graduate education were negatively correlated to the levels of perceived importance of "Social distancing and community screening" measures. Meanwhile, having post-graduate education (Coef. = -0.04; 95%CI: -0.07; -0.01), working as white-collar workers (Coef. = -0.04; 95%CI: -0.08; -0.01), and having fixed-term, full-time employment (Coef. = -0.07; 95%CI: -0.10; -0.03) were inversely associated with the levels of perceived importance of the "Mandatory quarantine and personal protective equipment" measures. Conclusion: This study informed highly positive perceptions and attitudes toward the national response measure to combat the COVID-19 in Vietnam. Contextualized strategies to maintain and improve these perceptions are warranted to ensure the success of preventive measures in the future.

Demand for Health Information on COVID-19 among Vietnamese.

Due to the rapid spread of coronavirus, Vietnam introduced its first national partial lockdown on April 1st, 2020. The public relied on online sources, whether through official websites or phone-based applications, to acquire up-to-date health information, provide accurate instructions, and limit misinformation. This study aims to provide insight regarding the current level of awareness of the pandemic, and to identify associated factors in Vietnamese participants to recommend necessary interventions. A cross-sectional study was conducted using a web-based survey during the first week of the lockdown period. There were 341 observations collected using a snowball sampling technique. A Tobit multivariable regression model was used to identify factors associated with the demand for each category of health information. The most requested information was the latest updated news on the epidemic, followed by information about disease symptoms and updated news on the outbreak. The prevalence of diverse socioeconomic, demographic, and ethnic factors in Vietnam requires consideration of the specific health information needs of unique groups. Identifying group-specific demands would be helpful to provide proper information to fulfill each population group's needs.