Tropical Medicine & International Health
Objectives: In March 2020, a COVID-19 outbreak in a major referral hospital in Hanoi, Vietnam led to 7,664 patients and staff being sent into lockdown for two weeks, and more than 52,200 persons across 49 provinces being quarantined. We assessed SARS-CoV-2 transmission patterns during this to-date largest hospital outbreak in Vietnam using social network analysis (SNA). Methods: We constructed a directed relational network and calculated network metrics for ‘degree’, ‘betweenness’, ‘closeness’, and ‘eigenvector’ centrality to understand individual-level transmission patterns. We analysed network components and modularity to identify sub-network structures with disproportionately big effects. Results: We detected 68 connections between 46 confirmed cases, of whom 27 (58.7%) were ancillary support staff, seven (15.2%) caregivers, six (13%) patients, and two (4.4%) nurses. Among the ten most important cases selected by each SNA network metric, transmission dynamics clustered in 17 cases, of whom 12 (70.6%) cases were ancillary support staff. Ancillary support staff also constituted 71.1% of cases in the dominant sub-network and 68.8% of cases in the three largest sub-communities. Conclusions: We identified non-clinical ancillary support staff, who are responsible for room service and food distribution in hospital wards in Vietnam, as a group with disproportionally big impacts on transmission dynamics during this outbreak. Our findings call for a holistic approach to nosocomial outbreak prevention and response that includes both clinical and non-clinical hospital staff. Our work also shows the potential of SNA as a complementary outbreak investigation method to better understand infection patterns in hospitals and similar settings
Ha-Linh Quach, Thai Quang Pham, Ngoc-Anh Hoang, Dinh Cong Phung, Viet Cuong Nguyen, Son Hong Le, Thanh Cong Le, Thu Minh Thi Bui, Dang Hai Le, Anh Duc Dang, Duong Nhu Tran, Nghia Duy Ngu, Florian Vogt, Cong Khanh Nguyen
Background Trends in the public perception and awareness of COVID-19 over time are poorly understood. We conducted a longitudinal study to analyze characteristics and trends of online information during a major COVID-19 outbreak in Da Nang province, Vietnam in July-August 2020 to understand public awareness and perceptions during an epidemic. Methods We collected online information on COVID-19 incidence and mortality from online platforms in Vietnam between 1 July and 15 September, 2020, and assessed their trends over time against the epidemic curve. We explored the associations between engagement, sentiment polarity, and other characteristics of online information with different outbreak phases using Poisson regression and multinomial logistic regression analysis. We assessed the frequency of keywords over time, and conducted a semantic analysis of keywords using word segmentation Results
We found a close association between collected online information and the evolution of the
COVID-19 situation in Vietnam. Online information generated higher engagements during
compared to before the outbreak. There was a close relationship between sentiment polarity
and posts’ topics: the emotional tendencies about COVID-19 mortality were significantly
more negative, and more neutral or positive about COVID-19 incidence. Online newspaper
reported significantly more information in negative or positive sentiment than online forums
or social media. Most topics of public concern followed closely the progression of the
COVID-19 situation during the outbreak: development of the global pandemic and vaccination; the unfolding outbreak in Vietnam; and the subsiding of the outbreak after two months.
Conclusion
This study shows how online information can reflect a public health threat in real time, and
provides important insights about public awareness and perception during different outbreak
phases. Our findings can help public health decision makers in Vietnam and other low and
middle income countries with high internet penetration rates to design more effective communication strategies during critical phases of an epidemic
Vietnam Journal of Preventive Medicine
This study aimed to describe mental health service utilization and examine associated factors among students in Vietnam. Data were collected at eight universities in Hanoi, Vietnam, in 2018 using an administered questionnaire. The total number of participants was 9,120 (95.1% response rate). Among stu dents participating in our survey, 12.5% (95% CI: 10.9–14.1) with depression and/or anxiety symptoms used mental health service in the last 12 months. In the multivariable regression models, significant factors associated with mental health ser vice utilization were marital status, types of housemate, men tal health problems, physical activity, smoking status, and alcohol drinking. Our study made recommendations to stake holders for improving mental health services utilization among students in Vietnam. These findings had important implica tions for future research on factors associated with mental health service utilization among university students.
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