Understanding the COVID-19 Infodemic: Analyzing User-Generated Online Information During a COVID-19 Outbreak in Vietnam

Ha-Linh Quach,Thai Quang Pham,Ngoc-Anh Hoang,Dinh Cong Phung,Viet-Cuong Nguyen,Son Hong Le,Thanh Cong Le,Dang Hai Le,Anh Duc Dang,Duong Nhu Tran,Nghia Duy Ngu,Florian Vogt,Cong-Khanh Nguyen 대한의료정보학회 2022 Healthcare Informatics Research Vol.28 No.4

Objectives: Online misinformation has reached unprecedented levels during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed the magnitude and sentiment dynamics of misinformation and unverified information about public health interventions during a COVID-19 outbreak in Da Nang, Vietnam, between July and September 2020. Methods: We analyzed user-generated online information about five public health interventions during the Da Nang outbreak. We compared the volume, source, sentiment polarity, and engagements of online posts before, during, and after the outbreak using negative binomial and logistic regression, and assessed the content validity of the 500 most influential posts. Results: Most of the 54,528 online posts included were generated during the outbreak (n = 46,035; 84.42%) and by online newspapers (n = 32,034; 58.75%). Among the 500 most influential posts, 316 (63.20%) contained genuine information, 10 (2.00%) contained misinformation, 152 (30.40%) were non-factual opinions, and 22 (4.40%) contained unverifiable information. All misinformation posts were made during the outbreak, mostly on social media, and were predominantly negative. Higher levels of engagement were observed for information that was unverifiable (incidence relative risk [IRR] = 2.83; 95% confidence interval [CI], 1.33–0.62), posted during the outbreak (before: IRR = 0.15; 95% CI, 0.07–0.35; after: IRR = 0.46; 95% CI, 0.34-0.63), and with negative sentiment (IRR = 1.84; 95% CI, 1.23–2.75). Negatively toned posts were more likely to be misinformation (odds ratio [OR] = 9.59; 95% CI, 1.20–76.70) or unverified (OR = 5.03; 95% CI, 1.66–15.24). Conclusions: Misinformation and unverified information during the outbreak showed clustering, with social media being particularly affected. This indepth assessment demonstrates the value of analyzing online “infodemics” to inform public health responses.

An IF Bandpass Filter Based on a Low Distortion Transconductor

Ha Le-Thai,Huy-Hieu Nguyen,Hoai-Nam Nguyen,Hong-Soon Cho,Jeong-Seon Lee,Sang-Gug Lee IEEE 2010 IEEE journal of solid-state circuits Vol.45 No.11

<P>In this paper, a linearity improvement technique is proposed for a low-distortion G<SUB>m</SUB>-C bandpass filter operating in high IF ranges. The proposed transconductor eliminates G<SUB>m</SUB>' value at the output by superposing the opposite non-linear behaviors of two differential structures in parallel. For the bandpass filter, instead of conventional biquad structure, a resonant-coupling structure is adopted for a flat frequency response which is insensitive to process and temperature variations. Fabricated in 65 nm CMOS process, the implemented 80 MHz bandpass filter shows a flat bandpass characteristic with 0.1 dB ripple, third-order harmonic rejection of 27 dB, IIP3 of -2 dBm, and NF of 21.5 dB, while consuming 11 mA from 1.2-V supply. The filter occupies the chip size of 0.5 × 0.5 mm<SUP>2</SUP>.</P>

A novel mathematical modelling for simulating the spread of heavy metals in solid waste landfills

Ngoc Ha Hoang,Anh My Chu,Kim Thai Thi Nguyen,Chi Hieu Le 대한환경공학회 2022 Environmental Engineering Research Vol.27 No.3

Municipal solid waste (MSW) landfills create the environmental pollutions due to problems related to toxins, leachate, and greenhouse gas, which are the growing environmental concerns, especially in developing countries. This paper presents a novel mathematical modelling for simulating the spread of heavy metals in soil layers in the MSW landfills. A new mathematical modelling procedure is studied for deriving the governing equation which describes the time varying concentration of pollutants in the leachate in a 3-dimensional (3D) space of soil layers. A Finite Element Method (FEM) based algorithm is then constructed to solve numerically the governing equation over time in 3D space for effectively analyzing the variation of pollutants concentrations. Finally, the applicability and advantages of the proposed novel method are demonstrated through the case study with soil samples collected from the actual MSW landfill. The successfully developed algorithm can be applied to model and predict the spread of different heavy metals in the MSW landfill sites; and to develop effective solutions and policies for solid waste classification and management, in order to minimise the negative impacts from the potential risk of the toxic heavy metal pollutions, soil contaminations and groundwater pollutions in the areas nearby the MSW landfill.

Tourists' Satisfaction towards Bao Loc City, Vietnam

GIAO, Ha Nam Khanh,HANG, Tran Dieu,SON, Le Thai,KIEM, Dinh,VUONG, Bui Nhat Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.7

Bao Loc City is the new tourism destination in Lam Dong province, Vietnam, where more and more tourists have been drawn to pay a visit. This study aims to test the correlative impact of tourism service quality factors on satisfaction of the tourists who have visited Bao Loc City. The key theory used in this study is SERVQUAL scale. The survey sample consists of 350 tourists who stayed overnight in Bao Loc City in the last quarter of 2019; 315 valid survey questionnaires could be used for the analysis. The research applied Cronbach's Alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM), and bootstrap test. The results show that the satisfaction of the tourists who have visited Bao Loc City has been affected statistically by three factors: (1) Responsiveness; (2) Reliability; and (3) Empathy, which were ranked by descending importance. Surprisingly, the research found that Tangibles and Assurance do not have an impact on tourists' satisfaction towards Bao Loc City. The research formulates some suggestions to the city policy-makers and the tourism businesses management in Bao Loc City in order to enhance tourists' satisfaction through improving the tourism service quality at Bao Loc City.

Sleep Quality and Poor Sleep-related Factors Among Healthcare Workers During the COVID-19 Pandemic in Vietnam

Thang Phan,Ha Phan Ai Nguyen,Cao Khoa Dang,Minh Tri Phan,Vu Thanh Nguyen,Van Tuan Le,Binh Thang Tran,Chinh Van Dang,Tinh Huu Ho,Minh Tu Nguyen,Thang Van Dinh,Van Trong Phan,Binh Thai Dang,Huynh Ho Ngo The Korean Society for Preventive Medicine 2023 예방의학회지 Vol.56 No.4

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions: The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.

Does Higher Education Level Matter for The Reduction of Non-Renewable Energy Demand? Insights from the World’s Largest Greenhouse Gas Emitters

Mantu Kumar Mahalik,Thai-Ha Le,Ha-Chi Le,Sushree Subhadra 중앙대학교 경제연구소 2022 Journal of Economic Development Vol.47 No.3

This study examines the impact of higher education on primary energy consumption and non-renewable energy usage for the world’s five largest greenhouse gas emitters, namely, China, the United States, India, Russia, and Japan. Autoregressive distributed lag (ARDL)-bounds testing approach to cointegration is employed to annual data series taken from the World Bank’s World Development Indicators over the period 1971-2015. The empirical findings validate a U-shaped relationship between higher education and non-renewable energy for Japan, whereas higher education level increases it for China in the long run. Higher education level appears to discourage the usage of non-renewable energy in India and Russia in the long run, but not so effective. From a policy perspective, it urges governments of these economies to provide effective environmental education and knowledge to their people so that non-renewable energy usage would be lowered for a better environmental quality.

Impacts of Loan Support Policy on Farm Income in Vietnam

Thien Ly Dao,Thai-Ha Le,Binh Tran-Nam 중앙대학교 경제연구소 2023 Journal of Economic Development Vol.48 No.2

Assessing the impact of agricultural policies is challenging due to resource limitations and problem identification. This study evaluates the impact of a loan support program on the income of agricultural farms in Vietnam’s crop cultivation and aquaculture sectors. Using the regression discontinuity method and data from Vietnam’s Rural, Agriculture, and Fishery report, encompassing 15,749 farms across 23 provinces in the Central Highlands, Southeast, and Mekong River Delta, we analyze the program’s effects based on farmland holding size. Results indicate a positive impact on annual crops value but a negative impact on income from rice cultivation. Income from perennial crops, such as coffee, showed little increase, while income from pepper cultivation decreased. However, income from aquaculture demonstrated an increase. Overall, the program positively influenced total income with an annual increase of approximately 14.5%. It is evident that the loan support policy is suitable for farm development but may not always yield positive outcomes for specific activities.

Factors Affecting Logistics Capabilities for Logistics Service Providers: A Case Study in Vietnam

Dinh Dao DANG,Dieu Linh HA,Van Bao TRAN,Van Tuan NGUYEN,Thi Lien Huong NGUYEN,Thuy Hong DANG,Thi Thai Ha LE 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.5

This study aimed to investigate the factors affecting Logistics capabilities for Logistics Service Providers in Vietnam. Researchers inherited and developed based on previous research to focus on analyzing and evaluating dynamics, measuring Logistics capabilities, and the factors affecting Logistics capabilities for Logistics Service Providers. The logistics capabilities Model is used based on three factors: customer demand management capability, innovation capability, and information management capability. The empirical analysis used data from the survey data of l90 managers of Logistics Service Providers in Hai Phong, Ho Chi Minh City, Da Nang, Hue, Hanoi with reliable tools (SPSS 26.0 software). The data were analyzed by frequencies, percentages, means, Pearson’s Linear Correlation Coefficient, exploratory factor analysis, and multi-linear regression model based on the survey data. The research results identified the following factors affecting Logistics capabilities for Logistics Service Providers: innovation capability has the strongest impact on Logistics capabilities; customer demand management capability has the following strong effects on Logistics capabilities; and finally, information management capability that affects Logistics capabilities. There is also a positive relationship between all factors and Logistics capabilities. Several recommendations are further suggested to enhance to improve Logistics capabilities for Logistics Service Providers in Vietnam.

Synthesis of a Novel Fluorescent Cyanide Chemosensor Based on Photoswitching Poly(pyrene-1-ylmethyl-methacrylate-randommethyl methacrylate-random-methacrylate spirooxazine)

Hoan Minh Tran,Tam Huu Nguyen,Viet Quoc Nguyen,Phuc Huynh Tran,Linh Duy Thai,Thuy Thu Truong,Le-Thu T. Nguyen,Ha Tran Nguyen 한국고분자학회 2019 Macromolecular Research Vol.27 No.1

The photoswitching poly(pyrene-1-ylmethyl-methacrylate-random-methyl methacrylate-random-methacrylate spirooxazine) was synthesized via atom transfer radical polymerization and characterized by proton nuclear magnetic resonance (1H NMR), gel permeation chromatography (GPC), Fourier transform infrared (FTIR) spectroscopy, UV-visible spectroscopy, and differential scanning calorimetry (DSC). The obtained copolymer exhibited the capability of erasable and rewritable photoimaging, making it a potential candidate for optical data storage materials. Moreover, the copolymer also showed the sensing ability for cyanide anions effect in aqueous solutions.