Duyệt theo Tác giả "[et al]"
Ấn phẩm
A comprehensive evaluation of dioxins and furans occurrence in river sediments from a secondary steel recycling craft village in Northern Vietnam
This first study investigated the presence of dioxins and furans in river sediments around a
craft village in Vietnam, focusing on Secondary Steel Recycling. Sediment samples were collected
from various locations along the riverbed near the Da Hoi Secondary Steel Recycling village in Bac
Ninh province. The analysis was conducted using a HRGC/HRMS-DFS device, detecting a total
of 17 dioxin/furan isomers in all samples, with an average total concentration of 288.86 ng/kg d.w.
The concentrations of dioxin/furan congeners showed minimal variation among sediment samples,
ranging from 253.9 to 344.2 ng/kg d.w. The predominant compounds in the dioxin group were
OCDD, while in the furan group, they were 1,2,3,4,6,7,8-HpCDF and OCDF. The chlorine content
in the molecule appeared to be closely related to the concentration of dioxins and their percentage
distribution. However, the levels of furan isomers did not vary significantly. The distribution of
these compounds was not dependent on the flow direction, as they were mainly found in solid waste
and are not water-soluble. Although the hepta and octa congeners had high concentrations, when
converted to TEQ values, the tetra and penta groups (for dioxins) and the penta and hexa groups (for
furans) contributed more to toxicity. Furthermore, the source of dioxins in sediments at Da Hoi does
not only originate from steel recycling production activities but also from other combustion sites. The
average total toxicity was 10.92 ng TEQ/kg d.w, ranging from 4.99 to 17.88 ng TEQ/kg d.w, which
did not exceed the threshold specified in QCVN 43:2017/BTNMT, the National Technical Regulation
on Sediment Quality. Nonetheless, these levels are still concerning. The presence of these toxic
substances not only impacts aquatic organisms in the sampled water environment but also poses
potential health risks to residents living nearby.
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A novel collaborative simulation for emergency and neonatal nurse practitioner students
Background
Simulation-based learning is increasingly used in healthcare education to enhance students’ clinical competence, satisfaction, and self-confidence. While simulation has been widely adopted in Vietnam, evidence on its effectiveness and the factors influencing learner outcomes remains limited.
Purpose
This study aimed to assess the levels of satisfaction and self-confidence among healthcare students following simulation-based learning and to identify key predictors of these outcomes.
Methods
A cross-sectional study was conducted among 284 undergraduate healthcare students from various disciplines at a private university in Vietnam. Data were collected using the Student Satisfaction and Self-Confidence in Learning Scale and the Simulation Design Scale. Descriptive statistics, Mann-Whitney U, Kruskal-Wallis tests, and multiple linear regression were used to analyze the data.
Results
Participants reported high satisfaction (4.31 ± 0.77) and self-confidence (4.24 ± 0.67) scores. The Simulation Design Scale was the strongest predictor of both satisfaction (β = 0.823, p < .001) and self-confidence (β = 0.819, p < .001). Academic performance also significantly predicted satisfaction (β = 0.083, p = .013) and self-confidence (β = 0.096, p = .004). Additionally, students’ perception of the debriefing session significantly influenced satisfaction (β = 0.083, p = .017). The regression models explained 71.6% and 71.3% of the variance in satisfaction and self-confidence, respectively.
Conclusion
Simulation-based learning is an effective strategy for enhancing satisfaction and self-confidence among healthcare students. Simulation design quality, academic performance, and the debriefing experience are critical elements influencing student outcomes. These findings support the continued integration and refinement of simulation in health professions education in Vietnam.
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A one health approach to prioritizing emerging zoonotic diseases (EZDs) in northern Vietnam
Background: Vietnam, with its significant agricultural sector, large livestock population, rich biodiversity and
close human-animal interactions, is highly vulnerable to zoonotic disease transmission. To better address this
threat, representatives from the human, animal, and environmental health sectors in Vietnam worked together at
two one health zoonotic disease prioritization (OHZDP) workshops to develop a list of priority zoonotic diseases
for multisectoral one health collaboration in Hoa Binh and Lao Cai provinces in April 2024.
Methods: We modified the OHZDP process, developed by the U.S. Centers for Disease Control and Prevention
(CDC), and utilized it to prioritize zoonotic diseases in Vietnam. This involved conducting defining prioritization
criteria, developing specific questions with assigned weights for each criterion, and organizing two workshops
with stakeholders.
Result: There were 25 participants in Hoa Binh’s workshop (7 females and 18 males), and 27 participants in Lao
Cai’s workshop (9 females and 18 males). Following a discussion of tool outputs among experts, four zoonotic
diseases were prioritized in Lao Cai province: Rabies, avian influenza, Streptococcus suis, and leptospirosis. In Hoa
Binh province, three diseases were identified as priorities: Rabies, avian influenza, and Streptococcus suis.
Conclusion: Rabies, avian influenza and Streptococcus suis were the three most prioritized diseases across the two
provinces. This list can serve as a foundation for strengthening one health collaboration for disease prevention
and control in these targeted provinces.
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A scoping review of the incentives for promoting the adoption of agroecological practices and outcomes among rice farmers in Vietnam
Recent research and development efforts to achieve sustainable rice production in Vietnam have incorporated agroecological principles and practices. These efforts have come
as a result of increasing pressure on food systems to achieve global food security. Growing food demand, rising population, climate change, and natural resources degradation,
make it necessary to transform the current production systems towards more sustainable models. Agroecology is being promoted as one of the pathways to transition toward
sustainable food production, with broad adoption requiring incentives for farmers. Using
the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for
Scoping Reviews guidelines, we conducted a scoping review of 120 articles to understand
the incentives applied for promoting agroecological practices, whether and how the incentives promote the adoption of agroecological practices, and their relationship with economic, environmental, and social outcomes among rice farmers in Vietnam. Such in-depth
reviews of the role of incentives in the agroecological transition are scarce. Results show
that in about 60% of the articles, incentives led to adoption, outcomes (e.g., yield and
income gains), or both, suggesting the importance and common use of incentives among
rice farmers in Vietnam. Four types of incentives used were market, non-market, regulatory, and cross-compliance. These incentives directly or indirectly influenced outcomes
through the adoption of agroecological practices. Market incentives (33%) were relatively
more important for directly influencing outcomes, while non-market incentives (50%) were
more important for indirectly influencing outcomes. Market, non-market, and regulatory
incentives were more associated with the adoption of new agronomic practices, such as
farm diversification, improved varieties, and organic agriculture than with other practices,
while cross-compliance incentives were more highly associated with adoption of agroforestry. Generally, the incentives used were more associated with economic outcomes
(56%), than with environmental (31%), and social (13%) outcomes. Overall, the results
show that incentives influence outcomes differently, and a combination of different incentives is required to achieve holistic outcomes.
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A structured approach to prebriefing in nursing simulation education: Setting the stage for effective learning
Background: Nursing simulation faculty identified a need to create a standardized prebriefing template
with important components of prebriefing for use with every simulation.
Methods: The International Nursing Association for Clinical Simulation in Learning Healthcare Simulation Standards of Best Practice, Prebriefing was utilized to create a template ensuring simulation-based
experiences follow best practices.
Results: After implementation of the modified prebriefing template, results demonstrated that students
are consistently meeting the simulation objectives and are able to translate learning into future practice.
Conclusion: Utilizing a standardized template for prebriefing prepares and engages nursing students in
simulation-based experiences, which facilitates greater real-world application in nursing practice
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A study on sustainability indicators for energy companies in Viet Nam
The energy sector is a cornerstone of Viet Nam’s economic growth, providing
critical contributions to development and employment. However, ensuring its long-term
sustainability remains a pressing challenge. This study leverages the United Nations’ ESG
framework to develop a comprehensive structure for sustainable management indicators
tailored to Viet Nam’s energy industry. Through expert interviews and systematic analysis
using the modified Delphi and DEMATEL methods, the study identified “Cost Management” as the most critical sustainability indicator, influencing other key areas. Additionally,
“Innovation Management”, “Renewable Energy”, “Vocational Training”, and “Human
Capital Development” emerged as pivotal for driving sustainability. These findings underscore the importance of aligning sustainability practices with operational efficiency and
innovation. The study highlights the urgent need for energy companies to adopt targeted
solutions such as cost optimization, investments in renewable technologies, and workforce
development to foster sustainable growth. By offering actionable insights and a prioritized
framework, this research provides energy companies and policymakers with a practical
roadmap to enhance Viet Nam’s energy sustainability and support its economic recovery
post-COVID-19.
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A survey-based emission inventory of greenhouse gases released from rice production on consolidated land in the red River Delta of Vietnam
In this study, relevant rice cultivation data were collected through a local survey, and the
life cycle assessment (LCA) method was employed to quantify greenhouse gas (GHG) emissions from rice production on consolidated land in the Red River Delta (RRD). Systematic
sampling was used in face-to-face interviews with 45 rice farming households in a representative commune of Hai Duong province. Specific GHG emissions were significantly
higher in the summer crop (averaged at 11.4 t CO2-eq/ha or 2.2 t CO2-eq/t grain) than
in the spring crop (6.8 t CO2-eq/ha or 1.2 t CO2-eq/t grain). Methane was a dominant
GHG emitted from paddy fields, contributing 84% of the total emissions of CO2-eq in the
summer crop and 73% in the spring crop. Fertilizer use and N2O emissions accounted for
9% of emissions in the summer crop and 16% in the spring crop. Energy consumption
for machinery and irrigation added a further 4% and 8%, respectively. Annually, as of
2023, the rice production activities in the RRD release 7.3 Tg of CO2-eq (100 years), a
significant contribution to the national GHG emissions. GHG emissions under alternative
scenarios of rice straw management were assessed. This study highlights the role of land
consolidation in improving water management, which contributes to lowering emissions.
Based on the findings, several mitigation measures could be identified, including improved
irrigation practices, optimized fertilizer use, and the promotion of sustainable rice straw
management practices.
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A systematic investigation of flood resilience measures in the Mekong River Basin
The Mekong River has encountered severe flooding challenges due to increasingly extreme weather conditions.
Despite these challenges, residents of the Mekong River Basin (MRB) have developed and demonstrated
remarkable flood resilience in various ways, enabling a dynamic and thriving socio-economic system in the floodprone environment. This study presents a systematic review and meta-analysis based on 460 search results from
Scopus and Web of Science datasets, covering literature from 1999 to 2024, focused on the MRB. The review aims
to investigate the measures developed by people in the MRB to improve their flood resilience, as determined
through a comprehensive scoping review of peer-reviewed literature. The review revealed the following findings:
(1) A total of 85 measures were identified and categorized into nine measure groups and three approaches based
on their characters, (2) statistical analysis indicates a rising trend in stakeholder cooperation, with over 66 % of
the total mentioned measures involving coordinated approaches rather than being strictly top-down or bottomup, (3) infrastructure and engineering investments, as well as advancements in agricultural technology, were the
dominant measures observed across Mekong River Basin countries, and (4) a Venn diagram illustrates overlapping measures applied across various countries, with Vietnam, Cambodia, and Thailand contributing significant efforts to improving flood resilience. This study provides valuable insights for policymakers and researchers
into the flood resilience situation within the region, supporting the development of effective future flood
management frameworks and research approaches.
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Abundance and sources of plastic debris on beaches in a plastic hotspot, Nha Trang, Viet Nam
Viet Nam is challenged by extensive marine plastic pollution, however, remediation efforts are hampered by
undefined sources to the coastal environment. This study surveyed the abundance, type, and source of beached
plastic litter at seven beaches along the coast of Nha Trang, Viet Nam. A total of 4754 beached plastic litter items
(>2 cm) yielded a mean abundance of 19.8 ± 19.5 items m− 2 corresponding to 116 ± 226 g DW m− 2
. Our results
demonstrate that plastic litter related to fishing and aquaculture constituted at least 62 % of the total by weight
and 38 % by number, showing that these two sectors are responsible for a significant part of the plastic pollution
along the coast. Hence, we argue that improved management of the fishing and aquaculture sectors could
substantially reduce marine plastic pollution along Viet Nam's coast.
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Academic motivation in association with mental health and quality of life among medical and health science students: a survey in Vietnam
Introduction Academic motivation is crucial in education, it was also found to be associated with various healthrelating factors, but it has yet to be well-applied in the admission process of most Vietnamese medical universities.
This study aimed to describe students’ academic motivation and investigate the association between it and
depression, anxiety, and quality of life at Hanoi Medical University.
Methods A cross-sectional study was conducted on first and final year students of doctor and bachelor programs
from October to November 2018 via a computer-based questionnaire. Academic motivation was assessed using
the AMS-C 28 scale. The relationships between academic motivation and anxiety (screened by GAD-7), depression
(screened by PHQ-9), and quality of life (assessed by SF-12) were analyzed using modified Poisson regression with
robust error variances and linear regression models.
Results Among 1723 participants (85.1% response rate), 57.1% were female, 58.4% were first-year, and 75.7% were in
doctor programs. The percentage of non-self-determined students was 37.9% (95%CI: 35.3 −40.5%). The proportion
of self-determined students was significantly higher among female compared to male participants (65.1% vs. 58.1%;
p<0.001), among first-year compared to final year ones (68.9% vs. 53.0%; p<0.001), and among those in bachelors
compared to doctor programs (68.7% vs. 60.2%, p<0.001). Our Poisson regression and linear regression analysis
showed a statistically significant association between academic motivation and anxiety disorder (PR=1.44, 95%CI:
1.03–2.01); depression (PR=1.62; 95%CI: 1.27–2.06); and quality of life: physical (Coef = -1.47, 95%CI: -2.19 - -0.74) and
mental health components (Coef = -2.45, 95%CI: -3.34 - -1.55).
Conclusions Female, first-year, and bachelor of health sciences students tended to be more self-determined. More
self-determined students were found to have a lower prevalence of depression, anxiety, and higher quality of life.
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Acceptance and willingness to pay for pneumococcal vaccination in Vietnam: Insights into adult preferences and influencing factors
Background
Streptococcus pneumoniae (pneumococcus) causes a significant burden in humans which can be significantly reduced by increasing the uptake of vaccine. Acceptance of the vaccine and willingness to pay (WTP) are two of the important drivers for increasing the vaccination rates and policy making. This study aims to determine the acceptance rates, preferences for the vaccination services and WTP for the pneumococcal vaccine among adults in Vietnam and associated factors.
Methods
A cross-sectional survey was conducted among adults aged ≥45 years, selected through multistage sampling. Data were collected using a validated questionnaire based on the Health Belief Model, a framework for understanding health behavior and influencing factors, and WTP was evaluated using Contingent Valuation Method.
Results
Among 714 participants, 76.6 % accepted vaccination, and 69.6 % willing to pay a mean of US$35.29 per dose (95 % CI: 33.42–37.16). WTP in 66–75 age group was lower than in those aged 45–55 (aOR = 0.49), while individuals earning >US$268.9 were more willing to pay than those earning
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Active surveillance for emerging influenza A virus: Findings from a one health study in Vietnam’s live bird markets
Objectives: Live bird markets (LBMs) in Asia have often been the source of human infections with avian
influenza virus (AIV).
Methods: From July 2021 to August 2023, we employed a One Health approach in conducting periodic
surveillance for novel influenza A viruses in five LBMs in northern Vietnam. Specimens were studied with
egg culture, molecular assays, Sanger sequencing, and next-generation sequencing.
Results: We studied a total of 688 human, avian, and bioaerosol specimens. Among these, 118 (17.2%)
were found to have molecular evidence of AIVs. Next-generation sequencing of 92 isolates revealed multiple AIV subtypes, including H4N6 (n = 1), H5N1 (n = 3), H5N8 (n = 6), H6N2 (n = 3), H6N6 (n = 18),
and H9N2 (n = 61) and mix infections (n = 7). Our H5Nx sequences belonged to the Eurasian lineage
clade 2.3.4.4b, while our H6N2 sequences were of group III, H6N6 of group II, and H9N2 of the BJ94-
lineage clade 4.6.14.
Conclusions: The relatively high prevalence of AIV, particularly highly pathogenic H5N1 and H5N8 viruses,
along with the subtype diversity, frequent co-infections and notable mutations, highlights the urgent need
for continued monitoring and control of AIV in Vietnam’s poultry farms and LBMs
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An annotated checklist of algae from the order synurales (Chrysophyceae) of Viet Nam
This paper presents an annotated list of the Mallomonas and Synura taxa (order Synurales,
class Chrysophyceae) found in Viet Nam. This list is based on materials from long-term studies
(from 2008 to 2020) of 371 freshwater localities in 18 provinces in the country. A total of 67 taxa
(morphotypes) of the genus Mallomonas and 7 of the genus Synura were reported. For each species,
the range of abiotic environmental parameters under which they were found is given, as well as
comments on the distribution of these taxa within Viet Nam and the tropical region.
Ấn phẩm
An annotated checklist of algae from the order Synurales (Chrysophyceae) of Viet Nam
This paper presents an annotated list of the Mallomonas and Synura taxa (order Synurales,
class Chrysophyceae) found in Viet Nam. This list is based on materials from long-term studies
(from 2008 to 2020) of 371 freshwater localities in 18 provinces in the country. A total of 67 taxa
(morphotypes) of the genus Mallomonas and 7 of the genus Synura were reported. For each species,
the range of abiotic environmental parameters under which they were found is given, as well as
comments on the distribution of these taxa within Viet Nam and the tropical region.
Ấn phẩm
Application of a locally developed open‑access digital monitoring system for the human milk bank network in Vietnam
Background Establishing the first Human Milk Bank (HMB) in Vietnam at the Da Nang Hospital for Women and Children marks a significant advancement in neonatal care. This specialized service addresses the critical need for donor
human milk (DHM) when a mother’s own milk is unavailable, providing essential nutrition to small vulnerable newborns. Introducing the new specialized service required developing a digital monitoring system to ensure the quality
and safety of DHM.
Development of the tool This digital and open access system was designed using an approach called DMADV
(Define, Measure, Analyze, Design, and Verify), and includes features for human milk donor management, DHM
processing, recipient management, and real-time data access. It has streamlined operations, enhanced efficiency,
and ensured adherence to safety and quality standards.
The use of the tool The application of the monitoring system has facilitated the tracking of DHM from collection to use, ensuring transparency and accountability. Data collected through this system has been instrumental
in improving program performance, informing decisions, and supporting research. The successful scaling up of HMB
services and the monitoring system to other regions in Vietnam demonstrates the project’s effectiveness and potential for broader impact. The system’s adaptability has allowed continuous improvements and integration of new functions, such as financial reporting and consumables tracking.
Lessons learned Lessons learned from the Da Nang HMB have been shared to guide the development of HMB
monitoring systems in other regions and countries. The digital monitoring system has proven to be a critical tool
in maintaining the quality and safety of DHM, ultimately contributing to better health outcomes for children. The successful implementation of HMB services underscores the importance of robust monitoring systems in its operations
and highlights the potential for digital solutions to enhance healthcare services.
Ấn phẩm
Applying an analytic hierarchy process and a geographic information system for assessment of land subsidence risk due to drought: A case study in Ca Mau Peninsula, Vietnam
The increase in extreme weather events causes secondary hazards that can influence people
and the environment enormously. The Ca Mau Peninsula is known as one of the areas most severely
affected by drought, and excessive groundwater exploitation is one of the reasons leading to a
higher risk of land subsidence. This study uses the Delphi method and the KAMET rule table to
analyze and select indicators that affect subsidence. The study uses the analytic hierarchy process
(AHP) analytical hierarchy method to evaluate the weights of influencing factors, combined with
geographic information system (GIS) technology to overlay the map layers of the main influencing
factors and build a subsidence risk warning zoning map of the study area. The influencing factors
selected to evaluate the impact on land subsidence in the study area during the drought period
included geological structure, soil characteristics, groundwater flow exploitation, water flow in the
dry season, current land use status, and evaporation in the dry season. The weights of these factors
were evaluated based on the synthesis of relevant documents as well as consultation with experts.
The results indicate that nearly two-thirds of the Ca Mau Peninsula area is currently at very low or
low risk of subsidence. Meanwhile, 23% of the area is at medium risk, nearly 9% is at high risk, and
0.1% of the study area is at very high risk. Subsidence risk warning zoning maps can provide a visual
and general overview of areas with high subsidence risk, supporting managers in making reference
plans for socio-economic development in the Ca Mau Peninsula.
Ấn phẩm
Applying deep learning for boat detection and numerical modeling to assess sand mining impacts on river morphology: A case study in the Vietnamese Mekong Delta
Effective management of riverbed sand mining is challenged by the lack of comprehensive data on sand mining
volumes and their morphological impacts. This study presents an integrated framework combining deep
learning, satellite imagery, and numerical modeling to monitor and assess the impacts of sand mining on river
morphology in the Vietnamese Mekong Delta. A deep learning model was trained using Sentinel-1 imagery in
2023 to classify three boat types: Barge with Crane (BC), Sand Transport Boat (STB), and others. The model was
then applied to detect BCs from 2014 to 2023, and the sand extraction volumes and areas were estimated.
Finally, a Delft3D-FLOW model was employed to simulate the impacts of sand mining in the study period. Our
deep learning model identified 386 BCs operating on the Bassac River in 2014–2023, with a total of
92.68–137.59 Mm3 of extracted sand, averaging 10.02–14.87 Mm3 annually. The numerical modeling results
revealed significant riverbed incision, with a maximum annual net volume loss of − 29.48 Mm3
/yr and a mean
erosion rate of up to − 0.82 m/yr. In addition, excessive sand mining formed 23 scour holes with depths up to 11
m and incised the thalweg at rates of up to − 1.18 m/yr. Sand mining maximally contributed 41.0–56.4 % of total
riverbed incision during 2014–2023. These findings underscore the urgent need for improved sediment management strategies and regulatory frameworks. By providing a comprehensive assessment of sand mining impacts, this study supports the development of sustainable river management strategies in the region.
Ấn phẩm
ASF outbreaks in Vietnam (2019–2024): Insights and lessons learned
African swine fever (ASF) is a contagious viral disease that affects domestic pigs and Eurasian wild boars, causing significant economic losses to the global pig industry. Since its first outbreak in February 2019, ASF has had a profound
impact on the Vietnamese pig sector. This review presents a comprehensive analysis of ASF outbreaks in Vietnam from
2019 to 2024, focusing on outbreak dynamics, control strategies, economic impact, and key lessons learned. By summarizing findings from various studies and official reports, this review provides key insights and practical recommendations
to improve ASF management and prevention in Vietnam and across the region.
Ấn phẩm
Assessing the impact of climate factors on rice yield in central vietnam: A 29-year study using detrending and regression models
Rice production in Vietnam, particularly in the central provinces, is increasingly affected by climatic variability, yet the
independent impact of climate change remains poorly understood due to concurrent agronomic improvements. This study
examined the impact of key climatic factors, including temperature, rainfall, sunshine duration, and humidity, on rice
yield in Quang Nam Province over a 29-year period (1995–2023). A linear detrending approach was applied to remove
non-climatic influences from yield data, followed by multivariate regression modeling for the Winter–Spring (WS) and
Summer–Autumn (SA) cropping seasons. Principal Component Analysis (PCA) was also used to identify dominant climatic variables. The regression model for the WS season was statistically significant (p<0.05), with rainfall exerting the
most substantial negative impact on yield, followed by temperature (negative) and humidity (positive). In contrast, the
SA season model was not statistically valid due to multicollinearity and seasonal climatic disturbances such as storms
and pest outbreaks. PCA results confirmed that the selected climatic variables explained over 70% of the total variance
and revealed distinct seasonal patterns in their influence on yield. These findings highlight the season-specific nature of
climate–yield relationships and demonstrate the value of combining detrending, regression analysis, and PCA to improve
the understanding of climatic impacts on rice production. The study offers valuable insights for enhancing yield forecasting and developing targeted, climate-resilient agricultural strategies in Central Vietnam.
Ấn phẩm
Assessing Vietnam’s sustainable agritourism by integrated multi-criteria decision-making approach
Agritourism has emerged as a contemporary tourism alternative in the post-COVID-19 era, adapting to the need
to connect with nature while promoting a sustainable tourism model. As nations increasingly recognize agritourism’s potential, efforts to create suitable locations strategically are becoming a focal point in the tourism
industry’s evolution towards more sustainable and enriching experiences. The study aims to select the most
appropriate destination for sustainable agritourism development in Vietnam using the integrated Data Envelopment Analysis (DEA) model, Best-Worst method (BWM), and spherical fuzzy Combined compromise solution
(SF-CoCoSo) methods. To begin, the DEA model is employed to sift through potential locations. Subsequently,
the BWM technique is utilized to establish the significance of the evaluation criteria, while the SF-CoCoSo
technique determines the priority of destinations. The result shows that, among the twelve criteria, agricultural product potential (SC1) secures the top rank. After filtering out the five appropriate destinations, LamDong
(DMU8) is the best location, promising prospects for promoting sustainable tourism, elevating agricultural value,
and bolstering the rural economy. By combining these methodologies, the study seeks to give a thorough and
accurate assessment of the sustainability of agritourism locations, enabling policymakers, managers, and investors to make informed decisions about agritourism development. These findings can apply to similar tourism
types in the same context or other rural areas in decision-making. Further research on assessing criteria is
required to comprehensively cover aspects of sustainable development.
Ấn phẩm
Assessment of community livelihood vulnerability to climate change in Vietnam: A case study of ethnic groups in Northern Upland Region
This study aims to assess the livelihood vulnerability to climate change of ethnic
minority communities in Yen Bai province, a typical mountainous region in northern
Vietnam. Utilizing the Livelihood Vulnerability Index (LVI) framework developed by
Hahn et al. (2009), in combination with the IPCC vulnerability structure, the research
analyzes eight components related to household characteristics, health, food, water,
housing and productive land, social and financial networks, livelihood strategies, and
exposure to climate shocks. Data were collected through a combination of desk study
and survey with 480 households from two major ethnic groups: Tay and Thai.The
results indicate that the Thai group has a higher overall LVI score (0.43) compared
to the Tay group (0.37), reflecting greater livelihood vulnerability. The main factors
contributing to this difference are limited livelihood diversification, lower educational
attainment, weaker access to healthcare, and higher dependency on climatesensitive resources. Although both groups are highly exposed to climate-related
hazards such as flash floods, landslides, and droughts, the Thai group demonstrates
greater sensitivity and lower adaptive capacity. This research contributes theoretically
by adapting and refining the LVI framework to suit the context of upland ethnic communities, and practically by providing empirical evidence to inform climate adaptation
policies. The study highlights the need for differentiated and context-specific strategies that prioritize ethnic minority communities with high vulnerability, focusing on
improving education, livelihood diversification, healthcare access, and institutional
support mechanisms.
Ấn phẩm
Assessment of the association between PM2.5 concentration and hospital admissions for pediatric asthma in Ho Chi Minh City, Viet Nam
Despite the growing concern over the impact of ambient fine particulate matter (PM2.5) on respiratory health,
studies on the association between PM2.5 and childhood asthma in Vietnam have remained relatively sparse.
The study aimed to evaluate the short-term effects of PM2.5 on asthma hospital admissions in Ho Chi Minh City
(HCMC), the most populous city in Vietnam. The PM2.5 database from 2016 to 2019 was collected at two fixed
monitoring stations. The health database was collected from all three children’s hospitals. A time-series
regression analysis was conducted to examine the associations between the daily PM2.5 concentration and
hospitalizations for asthma.
A total of 11,223 records of children under five years old hospitalized for asthma were collected, of which 64
% were male and 70 % were aged 2 to under five years old. The daily mean PM2.5 concentration over the study
period was 28.2 μg/m3
. Each 10 μg/m3 increase in PM2.5 at lag2, lag3, and lag04, we found that the excess risk of
total asthma hospital admission was 2.71 %, 2.63 %, and 3.9 %, respectively. According to the subgroup analysis,
female gender and children aged from two to under five years had more significant effects.
PM2.5 poses a risk to children’s health; therefore, the local authority should prioritize improving the air
quality.
Ấn phẩm
Bridging the digital divide in ASEAN: Insights from Vietnam, Philippines, Laos, Cambodia, and Indonesia
This study examines the state of digital convergence in ASEAN's low-Human Development Index (HDI) countries—Indonesia, the Philippines, Vietnam, Cambodia, and Laos—using fixed broadband subscriptions and internet usage as proxies for digitalization. Employing sigma and beta convergence analyses, the findings reveal persistent disparities in digital infrastructurFe and adoption, indicating a lack of convergence. While countries like Indonesia and Vietnam demonstrate notable progress, lower-HDI nations such as Cambodia and Laos continue to face significant structural and policy barriers, limiting equitable access to digital resources. The study advocates for targeted investments in broadband infrastructure for low-HDI countries and proposes the establishment of a regional ASEAN Digital Cohesion Fund to foster digital equity. It underscores the importance of coordinated national, regional, and international strategies to promote digital inclusivity, aligning with ASEAN's vision for a resilient and inclusive digital economy.
Ấn phẩm
Building blocks for a successful just energy transition: A stocktake analysis of Indonesia and Vietnam
Southeast Asia is a rapidly growing region with significant potential to fast-track
decarbonisation. The Just Energy Transition Partnerships (JETPs) in Indonesia and Vietnam
highlight a strengthened commitment to advancing the low-carbon transition through
country-led approaches. These initiatives focus on phasing out or reducing unabated coalfired power generation and halting new coal plants while prioritising fair and inclusive
outcomes for vulnerable workers, coal-dependent communities, consumers, and incumbent
industries. This paper introduces an analytical framework to evaluate the effectiveness of
innovative financial models in addressing carbon lock-in and accelerating equitable, climateresilient development. The paper then presents a stocktake analysis to assess the
developments in Indonesia and Vietnam following the Just Energy Transition Partnerships
against these benchmarks and suggests both countries partially achieved in governance,
systemic and socio-economic benchmarks within the first two years of operationalising the
JETPs. However, significant gaps remain in achieving a just transition in Indonesia and
Vietnam, specifically on financing constraints. We propose four priority areas that span
systemic, financial, governance and socio-economic considerations to enable a net-zero
aligned energy system, enhance the enabling environment to mobilise financing, enhance
policy coordination and collaboration and enhance social and economic resilience