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
BMC Infectious Diseases
Background: Understanding the spatiotemporal distribution of emerging infectious diseases is crucial for implementation of control measures. In the frst 7 months from the occurrence of COVID-19 pandemic, Vietnam has documented comparatively few cases of COVID-19. Understanding the spatiotemporal distribution of these cases may contribute to development of global countermeasures. Methods: We assessed the spatiotemporal distribution of COVID-19 from 23 January to 31 July 2020 in Vietnam. Data were collected from reports of the World Health Organization, the Vietnam Ministry of Health, and related websites. Temporal distribution was assessed via the transmission classifcation (local or quarantined cases). Geographical distribution was assessed via the number of cases in each province along with their timelines. The most likely disease clusters with elevated incidence were assessed via calculation of the relative risk (RR). Results: Among 544 observed cases of COVID-19, the median age was 35 years, 54.8% were men, and 50.9% were diagnosed during quarantine. During the observation period, there were four phases: Phase 1, COVID-19 cases occurred sporadically in January and February 2020; Phase 2, an epidemic wave occurred from the 1st week of March to the middle of April (Wave 1); Phase 3, only quarantining cases were involved; and Phase 4, a second epidemic wave began on July 25th, 2020 (Wave 2). A spatial cluster in Phase 1 was detected in Vinh Phuc Province (RR, 38.052). In Phase 2, primary spatial clusters were identifed in the areas of Hanoi and Ha Nam Province (RR, 6.357). In Phase 4, a spatial cluster was detected in Da Nang, a popular coastal tourist destination (RR, 70.401). Conclusions: Spatial disease clustering of COVID-19 in Vietnam was associated with large cities, tourist destinations, people’s mobility, and the occurrence of nosocomial infections. Past experiences with outbreaks of emerging infectious diseases led to quick implementation of governmental countermeasures against COVID-19 and a general acceptance of these measures by the population. The behaviors of the population and the government, as well as the country’s age distribution, may have contributed to the low incidence and small number of severe COVID-19 cases
BMC Infectious Diseases
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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