CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets Using Deep Learning Models

Online news and information sources are convenient and accessible ways to learn about current issues. For instance, more than 300 million people engage with posts on Twitter globally, which provides the possibility to disseminate misleading information. There are numerous cases where violent crimes have been committed due to fake news. This research presents the CovidMis20 dataset (COVID-19 Misinformation 2020 dataset), which consists of 1,375,592 tweets collected from February to July 2020. CovidMis20 can be automatically updated to fetch the latest news and is publicly available at: https://github.com/everythingguy/CovidMis20. This research was conducted using Bi-LSTM deep learning and an ensemble CNN+Bi-GRU for fake news detection. The results showed that, with testing accuracy of 92.23% and 90.56%, respectively, the ensemble CNN+Bi-GRU model consistently provided higher accuracy than the Bi-LSTM model. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

An Exploration of Australian Online Government Portals for Women Experiencing Domestic Violence During the COVID-19 Pandemic.

Domestic violence against women increased during COVID-19 lockdowns. This inaugural study examined the content of Australian government online portals, for women seeking support and help for domestic violence, during the 2021 COVID-19 pandemic. This mixed methods study incorporated four phases: a search; measurement of portal quality standard using DISCERN; enumeration of portal items; and a qualitative exploration of portal text. Australian governments must continue to work alongside domestic violence services as we found some portals were better than others. Continued review, revision, and funding are needed to meet the demands associated with this evolving public health emergency.

Fake news in a time of plague: Exploring individuals' online information management in the COVID-19 era

Online health information is critical during pandemics. Previous research has focused on examining antecedents or consequences of particular information behaviors (e.g., seeking, sharing), but the process by which one information behavior influences or transforms into other information behaviors remains poorly understood. Guided by theories of information behavior and the literature on online misinformation, this study proposes an interaction model of online information behaviors that theorizes relationships among online information scanning, misinformation exposure, misinformation elaboration, information sharing, and information avoidance. Conducting a two-wave representative panel survey in Hong Kong during the COVID-19 pandemic (N = 1501), we found that online information scanning at Wave 1 had a direct, positive impact on misinformation exposure and information sharing at Wave 2, while it did not have an impact on information avoidance at Wave 2. Additionally, misinformation exposure was positively related to both information sharing and information avoidance at Wave 2. Importantly, we underlined that evaluations of crisis-related misinformation are aided by misinformation elaboration, which plays a moderating role in catalyzing appropriate information behaviors. Results of this study could help scholars and practitioners propose evidence-based interventions for enhancing the public's ability to manage crisis information on the Internet in times of heightened uncertainty. © 2023 Elsevier Ltd

Exploring Google Searches for Out-of-Clinic Medication Abortion in the United States During 2020: Infodemiology Approach Using Multiple Samples.

Background: As access barriers to in-person abortion care increase due to legal restrictions and COVID-19-related disruptions, individuals may be turning to the internet for information and services on out-of-clinic medication abortions. Google searches allow us to explore timely population-level interest in this topic and assess its implications. Objective: We examined the extent to which people searched for out-of-clinic medication abortions in the United States in 2020 through 3 initial search terms: home abortion, self abortion, and buy abortion pill online. Methods: Using the Google Trends website, we estimated the relative search index (RSI)-a comparative measure of search popularity-for each initial search term and determined trends and its peak value between January 1, 2020, and January 1, 2021. RSI scores also helped to identify the 10 states where these searches were most popular. We developed a master list of top search queries for each of the initial search terms using the Google Trends application programming interface (API). We estimated the relative search volume (RSV)-the search volume of each query relative to other associated terms-for each of the top queries using the Google Health Trends API. We calculated average RSIs and RSVs from multiple samples to account for low-frequency data. Using the Custom Search API, we determined the top webpages presented to people searching for each of the initial search terms, contextualizing the information found when searching them on Google. Results: Searches for home abortion had average RSIs that were 3 times higher than self abortion and almost 4 times higher than buy abortion pill online. Interest in home abortion peaked in November 2020, during the third pandemic wave, at a time when providers could dispense medication abortion using telemedicine and by mail. Home abortion was most frequently queried by searching for Planned Parenthood, abortion pill, and abortion clinic, presumably denoting varying degrees of clinical support. Consistently lower search popularity for self abortion and buy abortion pill online reflect less population interest in mostly or completely self-managed out-of-clinic abortions. We observed the highest interest for home abortion and self abortion in states hostile to abortion, suggesting that state restrictions encourage these online searches. Top webpages provided limited evidence-based clinical content on self-management of abortions, and several antiabortion sites presented health-related disinformation. Conclusions: During the pandemic in the United States, there has been considerably more interest in home abortions than in minimally or nonclinically supported self-abortions. While our study was mainly descriptive, showing how infrequent abortion-related search data can be analyzed through multiple resampling, future studies should explore correlations between the keywords denoting interest in out-of-clinic abortion and abortion care measures and test models that allow for improved monitoring and surveillance of abortion concerns in our rapidly evolving policy context.

Academic library services extension during the COVID-19 pandemic: considerations in higher education institutions in the Gauteng Province, South Africa

PurposeThis paper aimed to determine the extent to which academic libraries and information services were extended due to the emergence of COVID-19 in the Gauteng Province, South Africa.Design/methodology/approachFounded on a pragmatism paradigm, the sequential explanatory research design was adopted to engage with participants and respondents on their experience of library services extensions to support users during the COVID-19 pandemic. Data were collected using online questionnaires and interviews. Cluster and purposive sampling were used and data for the quantitative part were analyzed using the Statistical Package for the Social Sciences (SPSS), whilst qualitative data were analyzed manually.FindingsFindings revealed that academic libraries operating in a higher education environment provided extensive support to remote users during the COVID-19 pandemic. This was done through the utilization of a variety of technology utilization, ranging from traditional e-mail support to the use of technology related to Artificial Intelligence such as the BOTsa, which is a Chatbot aimed to assist users in receiving speedy responses to library-related inquiries.Originality/valueThis study is unique in that it focuses on academic libraries that operate in higher education environments where support for achieving academic endeavors becomes imperative to ensure the smooth execution of teaching and learning activities within the restrictions put in place due to the COVID-19 pandemic. Adaptions and improvements to academic library services during and post-COVID-19 era were successful in ensuring that remote users could obtain similar services and access to information as was the case before the outbreak of the COVID-19 pandemic.

The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic

The outbreak of the COVID-19 pandemic triggers infodemic over online social media, which significantly impacts public health around the world, both physically and psychologically. In this paper, we study the impact of the pandemic on the mental health of influential social media users, whose sharing behaviours significantly promote the diffusion of COVID-19 related information. Specifically, we focus on subjective well-being (SWB), and analyse whether SWB changes have a relationship with their bridging performance in information diffusion, which measures the speed and wideness gain of information transmission due to their sharing. We accurately capture users' bridging performance by proposing a new measurement. Benefiting from deep-learning natural language processing models, we quantify social media users' SWB from their textual posts. With the data collected from Twitter for almost two years, we reveal the greater mental suffering of influential users during the COVID-19 pandemic. Through comprehensive hierarchical multiple regression analysis, we are the first to discover the strong relationship between social users' SWB and their bridging performance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Political ideology and differences in seeking COVID-19 information on the internet: examining the comprehensive model of information seeking

Purpose: Guided by the Comprehensive Model of Information Seeking (CMIS), this article identifies significant predictors that impact individuals seeking COVID-19 information. People with different political ideologies read contradictory information about the COVID-19 pandemic. However, how political ideology may affect COVID-19 information seeking remains unclear. This study explores the major information channels for individuals with different political ideologies to seek COVID-19 information. It further examines how political ideologies influence CMIS's effectiveness in predicting online health information-seeking. Design/methodology/approach: This study collected 394 completed survey responses from adults living in the United States after the 2020 lockdown. ANOVA analyses revealed the differences in salience, beliefs, information carrier characteristics, utilities and information-seeking actions between Liberals and Conservatives. Regression analyses discovered variables that predict Liberals' and Conservatives' online health information seeking. Findings: Results suggest that the internet is the top channel for COVID-19 information seeking. Compared to Conservatives, Liberals report more COVID-19 information-seeking actions. Liberals also express stronger salience, perceive higher trustworthiness of online COVID-19 information, are more likely to think of seeking online COVID-19 information as useful and helpful and report more substantial efficacy to mitigate the risk. Most CMIS variables predict Liberals' information seeking;however, only salience significantly predicts Conservatives' information seeking. Originality/value: This article indicates that CMIS should include political ideology to refine its prediction of information seeking. These findings offer practical implications for designing health messages, enhancing information distribution and reducing the public's uncertainty. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2022-0436. © 2023, Emerald Publishing Limited.

Hangover-Related Internet Searches Before and During the COVID-19 Pandemic in England: Observational Study.

BACKGROUND: It is unclear whether heavy alcohol use and associated hangover symptoms changed as a result of the COVID-19 pandemic. Due to a lack of available accurate and nonretrospective self-reported data, it is difficult to directly assess hangover symptoms during the COVID-19 pandemic. OBJECTIVE: This study aimed to examine whether alcohol-induced hangover-related internet searches (eg, "how to cure a hangover?") increased, decreased, or remained the same in England before versus during the COVID-19 pandemic (2020-2021) and during periods of national lockdown. Secondary aims were to examine if hangover-related internet searches in England differed compared to a country that did not impose similar COVID-19 lockdown restrictions. METHODS: Using historical data from Google Trends for England, we compared the relative search volume (RSV) of hangover-related searches in the years before (2016-2019) versus during the COVID-19 pandemic (2020-2021), as well as in periods of national lockdown versus the same periods in 2016-2019. We also compared the RSV of hangover-related searches during the same time frames in a European country that did not introduce national COVID-19 lockdowns at the beginning of the pandemic (Sweden). Hangover-related search terms were identified through consultation with a panel of alcohol researchers and a sample from the general public. Statistical analyses were preregistered prior to data collection. RESULTS: There was no overall significant difference in the RSV of hangover-related terms in England during 2016-2019 versus 2020-2021 (P=.10; robust d=0.02, 95% CI 0.00-0.03). However, during national lockdowns, searches for hangover-related terms were lower, particularly during the first national lockdown in England (P<.001; d=.19, 95% CI 0.16-0.24; a 44% relative decrease). In a comparison country that did not introduce a national lockdown in the early stages of the pandemic (Sweden), there was no significant decrease in hangover-related searches during the same time period (P=.06). However, across both England and Sweden, during later periods of COVID-19 restrictions in 2020 and 2021, the RSV of hangover-related terms was lower than that in the same periods during 2016-2019. Exploratory analyses revealed that national monthly variation in alcohol sales both before and during the COVID-19 pandemic were positively correlated with the frequency of hangover-related searches, suggesting that changes in hangover-related searches may act as a proxy for changes in alcohol consumption. CONCLUSIONS: Hangover-related internet searches did not differ before versus during the COVID-19 pandemic in England but did reduce during periods of national lockdown. Further research is required to confirm how changes in hangover-related search volume relate to heavy episodic alcohol use. TRIAL REGISTRATION: Open Science Framework 2Y86E; https://osf.io/2Y86E.

Engagement With the Centers for Disease Control and Prevention Coronavirus Self-Checker and Guidance Provided to Users in the United States From March 23, 2020, to April 19, 2021: Thematic and Trend Analysis.

BACKGROUND: In 2020, at the onset of the COVID-19 pandemic, the United States experienced surges in healthcare needs, which challenged capacity throughout the healthcare system. Stay-at-home orders in many jurisdictions, cancellation of elective procedures, and closures of outpatient medical offices disrupted patient access to care. To inform symptomatic persons about when to seek care and potentially help alleviate the burden on the healthcare system, Centers for Disease Control and Prevention (CDC) and partners developed the CDC Coronavirus Self-Checker ("Self-Checker"). This interactive tool assists individuals seeking information about COVID-19 to determine the appropriate level of care by asking demographic, clinical, and nonclinical questions during an online "conversation." OBJECTIVE: This paper describes user characteristics, trends in use, and recommendations delivered by the Self-Checker between March 23, 2020, and April 19, 2021, for pursuing appropriate levels of medical care depending on the severity of user symptoms. METHODS: User characteristics and trends in completed conversations that resulted in a care message were analyzed. Care messages delivered by the Self-Checker were manually classified into three overarching conversation themes: (1) seek care immediately; (2) take no action, or stay home and self-monitor; and (3) conversation redirected. Trends in 7-day averages of conversations and COVID-19 cases were examined with development and marketing milestones that potentially impacted Self-Checker user engagement. RESULTS: Among 16,718,667 completed conversations, the Self-Checker delivered recommendations for 69.27% (n=11,580,738) of all conversations to "take no action, or stay home and self-monitor"; 28.8% (n=4,822,138) of conversations to "seek care immediately"; and 1.89% (n=315,791) of conversations were redirected to other resources without providing any care advice. Among 6.8 million conversations initiated for self-reported sick individuals without life-threatening symptoms, 59.21% resulted in a recommendation to "take no action, or stay home and self-monitor." Nearly all individuals (99.8%) who were not sick were also advised to "take no action, or stay home and self-monitor." CONCLUSIONS: The majority of Self-Checker conversations resulted in advice to take no action, or stay home and self-monitor. This guidance may have reduced patient volume on the medical system; however, future studies evaluating patients' satisfaction, intention to follow the care advice received, course of action, and care modality pursued could clarify the impact of the Self-Checker and similar tools during future public health emergencies.

[Sharing information on COVID-19 vaccination: quantitative online survey on actors, content, sources, and motives]. / Informationsweitergabe zur COVID-19-Impfung: Quantitative Online-Befragung zu Akteuren, Inhalten, Quellen und Motiven.

BACKGROUND: A person's opinion about COVID-19 vaccination and their decision for or against the vaccination are determined, among other things, by the information they receive. Therefore, it seems crucial to examine the phenomenon of information sharing in the context of COVID-19 vaccination. The study explores who shares which information about vaccinations with whom, how the sharing of information is related to the seeking of information from various sources, and what the motives are. METHOD: From 19 June to 13 July 2021, we conducted an online survey with 833 people using the German non-representative Social Sciences' (SoSci) panel. The questionnaire assessed information sharing with strangers and the social environment, the content, and the motives as well as the sources of information. The responses of 828 people were evaluated using descriptive statistics and multiple linear regression analyses. RESULTS: Older people, women, and unvaccinated individuals were more likely to share information about COVID-19 vaccination. Information was more often shared in the social environment than with strangers. People shared information about benefits and risks of the vaccination as well as their own experiences with vaccinations. People who research websites of health authorities were more likely to share information about the benefits of vaccinations and their own experiences, while people using YouTube or messenger services were more likely to share information about risks. The motives for sharing information are to help others, social exchange, to raise awareness, to gain status, and the fear of being attacked or judged. CONCLUSION: Information sharing on COVID-19 vaccination is complex in terms of content and motivation. In order to promote vaccination readiness, the range of information offered by public health departments should be expanded and the population's health literacy should be strengthened.

E-páciensek Magyarországon: Digitális egészséggel kapcsolatos ismeretek, szokások egy országos reprezentatív felmérés tükrében.

INTRODUCTION: The impact of digitalisation on healthcare has become one of the most important research areas in recent years. The COVID-19 epidemic has been a major driver in this process. OBJECTIVE: In our nationally representative, population-based survey (n = 1500), we sought to find out how patients in Hungary use digital health tools, what the advantages and disadvantages of introducing and using these technologies are, and how this is transforming the doctor-patient relationship. METHODS: We conducted a national representative telephone questionnaire survey (CATI). The sample is representative of the adult population of Hungary in terms of gender, age, type of settlement and education. RESULTS: 81.3% of the respondents use the internet - 87.6% of whom use it in relation to health and illness, too. This is 71.2% of the total sample. Websites (76.3%) and social media (47.3%) are the main sources of information on the internet; e-prescription and online appointment booking are the most known by patients (92.6% and 85.2%, respectively), while almost half of the respondents would like to try telehealth and would welcome a recommendation from their doctor on reliable websites, apps and sensors. Our results highlighted that the effect of the type of settlement on access to digital health is not significant, but that the effect of age, education and gender is decisive. CONCLUSION: Data from our national representative population survey indicate that the use of digital health solutions is already an integral part of care and that there is a strong demand for further digital options. Orv Hetil. 2022; 163(29): 1159-1165.

A Comprehensive Evaluation of the Quality, Readability, and Technical Quality of Online Information on Glaucoma.

PURPOSE: To evaluate the quality and reliability of medical information, the technical quality of the presentation of information, and the readability of informational websites that publish content on the definition, causes, symptoms, and treatment of glaucoma. DESIGN: A cross-sectional study was conducted to assess information published on websites with regard to glaucoma. SUBJECTS: The top 150 websites populated on a Google search using the keywords glaucoma, high intraocular pressure, and high eye pressure were chosen for evaluation. METHODS: Two independent reviewers assessed quality and reliability of each website using the DISCERN, Health on the Net Code (HONcode), and Journal of the American Medical Association (JAMA) criteria. The reviewers also evaluated technical quality by determining each website's ability to satisfy 10 unique features. Readability was assessed using the Readability Studio software (Oleander Software). MAIN OUTCOME MEASURES: Quality of information was analyzed using the DISCERN, HONcode, and JAMA criteria. To assess readability, the Bormuth Cloze Mean, Bormuth Grade Placement, Flesch Kincaid Reading Ease, Coleman-Liau Index, Gunning Fog Score, Simple Measure of Gobbledygook Index, Readability Score, Fry Estimate, Raygor Estimate, and the Overall Mean Readability metrics were used. A separate subanalysis categorized websites into institutional and private categories. RESULTS: Readability was poor among all websites, with most websites requiring a reading level higher than the 11th grade. The overall mean DISCERN score ± standard deviation (SD) was 3.0 ± 0.4, the mean HONcode score ± SD was 9.6 ± 1.8, and the mean JAMA score ± SD was 2.1 ± 1.1. The reviewers had moderate to excellent interrater reliability. Institutional websites (n = 39) had a higher mean DISCERN score (3.18 ± 0.33 vs. 2.95 ± 0.39, P < 0.05) and mean HONcode score (10.18 ± 1.90 vs. 9.34 ± 1.71, P < 0.05) than those of private websites (n = 111). Technical quality was higher among institutional websites (P < 0.05). CONCLUSIONS: An overwhelming majority of websites presented information of low quality, reliability, and readability. Institutional websites generally received higher scores than those received by private websites; however, overall scores were still substandard, which necessitates improvement of online information on glaucoma.

What I Learned about Teaching while Teaching Mrs. Dalloway during the Pandemic

This article recounts the experience of moving an in-person literature class online at the start of the COVID-19 pandemic. Drawing comparisons between the novel Mrs. Dalloway, which the class was reading at the time, and the experience of the early days of the pandemic, the piece outlines how the exigencies of the pandemic led to revised teaching and assessment practices. [ FROM AUTHOR]

Understanding Tourists' Attitude Toward Online Travel Health Information During and Post-COVID-19: A Health Belief Model Application

Due to people's anxieties about COVID-19, it may take years before international tourism returns to pre-pandemic levels. Thus, it is crucial to understand how tourists' health beliefs influence their travel decision-making processes during and after the SARS-COV2 pandemic, and to develop new strategies to support and meet tourists' current needs and concerns. The current study employs a Health Belief Model (HBM) perspective to examine the influence on tourists' health risk prevention - and subsequently on their travel intention - of reading travel health information online, while considering tourists' perceptions of threat susceptibility and severity, and usefulness of travel health information. As risk perception is influenced by individual differences such as gender and previous experience, the study model includes the demographic factors of age, gender, and health status. The model was tested using a survey questionnaire completed by 261 respondents in Saudi Arabia who were considering travelling abroad for tourism. Results were analyzed using PLS-SEM. The study found that perceived susceptibility and perceived usefulness each significantly and positively influenced the perception of importance of reading health information, and the perception of importance of reading travel health information online significantly and positively influenced travel intention. The discussion includes additional findings as well as implications for industry practice and policy regarding online pandemic-related information, in order to improve protection efficacy and enhance information content and style to adequately serve the needs of tourists from a health belief perspective.

Online information seeking during the COVID-19 pandemic: A cross-country analysis

The aim of this study was to investigate the coronavirus-related web-searching patterns of people from the 10 most affected nations in September 2020. The authors extracted all searches for the sample nations, consisting of the two words 'COVID-19' and 'coronavirus' and their variations, from Google Trends for the complete year of 2020. The results showed a discrepancy due to the priority of the language used during searches for coronavirus-related information. The time span of the attention level of citizens towards coronavirus-related information was relatively short (about one month). This supports the assumption of the activation model of information exposure that information which generates a negative affect is not welcomed by users. The findings have practical implications for governments and health authorities in, for example, launching information services for citizens in the early months of a pandemic and them remaining as the preferred source of information for citizens.

Social Media Health-Related Information Credibility and Reliability: An Integrated User Perceived Quality Assessment

The dominance of social media (SM) channels in disseminating health-related information during the COVID-19 came with several credibility and reliability issues. Yet, users' explicit assessment of SM health-related information (SMHI) quality has been less discussed. Situated in Ghana, this study empirically explores the extent to which the source credibility and content reliability influence users' perception of SMHI quality during the COVID-19 pandemic. Grounded on an integrated SMHI quality evaluation framework, the study hypothesized that the source credibility and content reliability influence users' perception of SMHI quality. We tested the model using 361 Ghanaian SMHI consumers. The structural equation modeling results indicate that while source credibility influences content reliability, it does not influence users' perception of quality SMHI during the COVID-19. Again, content reliability significantly influences users' perceived SMHI quality. We offer several theoretical and practical implications on users' choice and consumption of health-related information on SM platforms.

Electrical Engineering E-learning Education during COVID-19 Pandemic: Pedagogical and Psychological Aspects

The aim of the paper is to discuss the online education experience of the students from Electrical Engineering. The study discusses the accumulation of information during pandemic by comparing the accumulation of online information to the system face to face from the personal perspective of the student, highlighting the benefits and difficulties. © 2022 IEEE.

Tabligh as a Form of Information Sharing for Women: ‘Aisyiyah during the COVID-19 Pandemic in East Java

The COVID-19 pandemic has made everyone adapt in order to survive. The pandemic has an impact on all sectors of society, including religion, economy, health, and education. 'Aisyiyah is an organized women's Muslim group that helps the community in dealing with COVID-19. 'Aisyiyah uses tabligh as a form of information sharing to educate their cadres and the public regarding community problems in dealing with COVID-19. Through qualitative research methods, this study describes in detail how the model and impact of tabligh activities have been carried out by 'Aisyiyah during the pandemic. The results of the study show that tabligh regarding COVID-19 has been a means of education and enlightenment in the community that was met with high enthusiasm from the public. The During the pandemic, 'Aisyiyah East Java was involved in the Social Ta'awun Movement (people-help movement), Centelan and "For Masks.” Other efforts were also carried out by 'Aisyiyah to reach cadres and congregations and invite them to take part in online discussions, to make them feel that they are recognized, accepted, and treated humanely. A negative drawback of online outreach is that many people in East Java cannot attend because of difficulties in using information technology, but the positive impact is that people are able to attend tabligh at any time and do not need to attend in person. ‘Aisyiyah cares for its cadres through measures such as helping to boost immunity and strengthening faith and psychological health as well as providing moral support and assistance to cadres and their families who were left behind during the COVID-19 pandemic. © 2022 Journal of International Women's Studies.

How COVID-19 impacts travel-health information seeking and tourists' travel intentions: A protection motivation theory-based model

This study investigates health-information seeking influences on tourists' travel intentions during and after the COVID-19 pandemic, in the context of online information.An integrative model based on Protection Motivation Theory (PMT) is developed to examine the relationships between protection motivation behaviour incorporating COVID-19 involvement, and their influence on information seeking attitude and travel intention, while considering the role of subjective norms (SNs) as a moderator between attitude and intention.Using the data collected from 274 international tourists in Saudi Arabia, this research shows that, while not all PMT factors have a positive influence on travel intention, COVID-19 involvement has the strongest influence, while SNs found to have non-significant role as a moderator.This study's findings include important implications for industry practice within the online travel-health information seeking context.

Testing reliability and validity of the Vietnamese version of the eHealth literacy scale (eHEALS) among medical students in Vietnam.

BACKGROUND: In the context of COVID-19 pandemic, eHealth Literacy is important and essential for healthcare workers, especially medical students; eHealth Literacy Scale (eHEALS) was developed to measured eHealth literacy of individuals, with higher eHEALS scores indicated greater ehealth literacy. OBJECTIVES: The study evaluates the reliability and validity of Vietnamese version of eHEALS and analyzed some factors affecting on eHEALS score among Hanoi Medical University students in Vietnam. METHODS: A cross-sectional study design was adopted, and data were elicited from 494 medical students. Exploratory Factor Analysis (EFA); Cronbach's alpha and correlation coefficients; split-half assessment; Poisson regression analysis were applied. RESULTS: The total score of our subjects in the eHEALS was 30.34 ± 4.57. The results from Bartlett's test, Kaiser-Meyer-Olkin (KMO) test, calculated Cronbach's alpha coefficient and test-retest reliability were high. Poisson regression identified that eHEALS scores of participants was significantly associated with device, ongoing medical condition and trustworthiness of health information source (p < 0.05). DISCUSSION: Our study helps researchers who conduct studies in eHealth develop optimal applied and intervention researches in subjects with medical knowledge. Additional studies need to be required with numerous different groups of people in Vietnam. CONCLUSION: The Vietnamese version of eHEALS is a reliable and valid measure. Device, medical condition and trustworthiness of health information source are factors affecting on eHEALS score of students in Hanoi Medical University.