Assessment of COVID-19 Information Overload Among the General Public

The internet usage increases fear of infection with Covid-19

During the Covid-19 pandemic, because of convenience and efficiency, the internet has emerged as an important channel for both acquiring information and engaging in social interaction.The internet plays a crucial role in keeping individuals informed and connected during the Covid-19 pandemic. However, the effects of the massive and untruthful information on the internet, as well as the excessive use of the internet during the Covid-19 pandemic, especially on the individuals fear and panic of infection with Covid-19, have not been adequately addressed. We utilize the data of Chinese General Social Survey (CGSS) in the year of 2021, as one of a national, comprehensive and continuous survey projects which is conducted a cross-sectional survey among provinces in mainland China each year, to test the relationship between the internet usage and the individuals fear of infection with Covid-19. By utilizing Ordered-Probit model, we find that the higher frequency of the internet usage significantly increases the individuals fear of infection with Covid-19. On average, when individuals use the internet from never use to very often, the probability of feeling not too fearful to be infected with Covid-19 decreases by 2%. Additionally, the findings reveal that the impact is particularly pronounced among females, middle-income individuals, older individuals and those with lower educational levels. The results also indicate that the effect is greater among the individuals with chronic diseases, those who spend less time studying, and feel they are unlikely to be infected with Covid-19. Furthermore, as the frequency of internet usage increases, we observe a corresponding rise in the likelihood of receiving a vaccine, along with a change in attitudes towards the measures implemented by the government.

Parental decisions regarding the vaccination of children and adolescents against SARS-CoV-2 from 2020 to 2023: A descriptive longitudinal study of parents and children in Montreal, Canada

BACKGROUND

Given the growing evidence on the benefits of hybrid immunity, continued monitoring of vaccine uptake is warranted, particularly of socio-demographic subgroups with early vaccine hesitancy. Racial/ethnic and lower income groups experienced a high infection incidence, but few studies account for the child's history of SARS-CoV-2 infection on the parent's decision to vaccinate their child.

METHODS

EnCORE is a SARS-CoV-2 pediatric cohort study comprising five rounds of data collection from 2020 to 2023, with parental questionnaires at each round. Parent's responses on their intention to vaccinate their child and their reasons were summarized descriptively. Vaccine uptake was estimated through time and in relation to participant characteristics, using multivariable regression to adjust for covariates including a history of PCR/serology-confirmed SARS-CoV-2 infection prior to vaccine eligibility. At study end, we estimated the average time lapsed from last vaccine dose.

RESULTS

The samples for vaccine uptake and intention to vaccinate analyses were 631 and 1137 participants, respectively. At study end, uptake was 88 % but approximately 49 % of 2-to-4-year-olds remained unvaccinated (95 % CI 39.0, 58.1) and for vaccinated participants the median time since last vaccination was 353 days. In regression analyses, after adjusting for infection prior to vaccine eligibility and other covariates, we found approximately a two-fold increase in unvaccinated status associated with the parent's identification as a racial/ethnic minority and with household income in the lowest sample tercile (minority: adjusted relative risk [aRR] 2.45, 95 % CI 1.56, 3.86; income: aRR 1.76, 95 % CI 1.17, 2.66).

CONCLUSION

By mid-2023, most participants were not protected by vaccine-induced antibodies, because they were unvaccinated or several months had lapsed from their last dose. A COVID-19 infection prior to vaccine eligibility was associated with a greater risk of remaining unvaccinated but did not fully account for low uptake in ethnic/racial minorities and lower income groups.

The limits of nudging: Results of a randomized trial of text messages to promote home-based caregiving and reduce perceptions of stigma for COVID-19 patients in Kenyan informal settlements

During the early stages of the global COVID-19 pandemic, governments searched for effective means to rapidly disseminate information about how to prevent the disease and care for sick household members. In June 2020, the government of Kenya considered sending text messages, a behavioral nudging approach, to inform and persuade the public to practice home-based care for those who were infected. We conducted a randomized evaluation of simple informational messages compared to messages targeting personal and social benefits for those receiving the messages. We hypothesized that those that received messages tailored around social or personal benefit would be more likely to undertake the promoted behaviors of isolating if infected with COVID-19 and intending to care for an infected family member. While fear and perceptions of stigma were widespread, more than two-thirds of respondents in the control condition expressed an intention to care for an infected family member at home. Despite greater recall of the personal benefit message, which used reciprocity as its key behavioral lever, intentions to provide care at home and perceptions of stigma did not differ across study groups. Rather, capabilities such as wealth and having sufficient room at home were the key determinants. While text messages as behavioral nudges may be useful for some behaviors, policymakers should consider a broader range of tools for behaviors that are influenced by people's capabilities, since even low-cost interventions may crowd out the time and energy needed for other responses during an emergency.

The impact of the COVID-19 pandemic on UK parents' attitudes towards routine childhood vaccines: A mixed-methods study

BACKGROUND

COVID-19 vaccines were key to controlling the pandemic and vaccination has been discussed extensively by the media and the public since 2020. We aimed to explore parents' attitudes towards routine childhood vaccination since COVID-19 and how the pandemic impacted their experiences of getting their child vaccinated.

METHODS

We used a mixed-methods approach-involving a questionnaire survey followed by focus groups. We partnered with The Mosaic Community Trust, an ethnic minority women's group based in a deprived area of North-West London, United Kingdom (UK) with historically low childhood vaccine uptake. Descriptive findings from the questionnaires were reported and chi-square analyses performed to examine differences by ethnicity. Thematic analysis of the free-text questionnaire responses and focus groups was undertaken, guided by the COM-B model of Capability, Opportunity, and Motivation.

RESULTS

Between Jun-Oct 2022, 518 parents completed the questionnaire (25% from ethnic minorities). Between March-May 2023 we held four focus groups with 22 parents (45% from ethnic minorities). Most parents (>90%) thought routine childhood vaccines for children were important. Over a third (38%) of all parents reported having more questions about childhood vaccines since COVID-19, though among parents belonging to an ethnicity group other than white, 59% said they had more questions compared to those of any white ethnicity group (30%, (p = <0.0001)). Difficulties accessing vaccine appointments were commoner reasons for children's vaccinations being delayed than parents increased concerns about vaccines. Since COVID-19 some parents felt vaccinations were even more important, and a very small minority felt the pandemic had made them mistrust vaccinations.

CONCLUSION

Following COVID-19, we found parents remain confident in childhood vaccines. However, some parents, particularly from ethnic minority groups may have more questions about childhood vaccines than pre-pandemic. Post COVID-19, to address declining vaccine uptake, parents need easy access to healthcare professionals to answer questions about childhood vaccinations.

Community health information needs assessment in the mid-south region of the United States indicates new roles for public libraries

BACKGROUND

Libraries provide public access to information that may be used to inform healthcare decisions. Exploring the health information needs of library-users could improve community health outcomes, especially during times of crisis like the COVID-19 pandemic.

OBJECTIVE

The purpose of this study was to identify the health information needs of library-users to explore the potential role of libraries in advancing community health.

METHODS

A quantitative, descriptive, cross-sectional survey was employed.

RESULTS

One hundred and fifty participants in the (Memphis) Tennessee metropolitan area, ranging from 18 to 84 years of age, completed the survey between September 2020 and April 2021. Most respondents reported seeking physical and mental health-related information from libraries. In addition, nearly half of respondents reported delaying medical care due to risk of exposure to COVID-19, cost or appointment issues.

DISCUSSION

Study results indicated that there were urgent health information needs among library-users in this community, that COVID-19 further limited or delayed access to information, and that library-users accessed health information during library visits.

CONCLUSION

Public libraries have the potential to serve as information hubs to improve community health outcomes. Additional research should be conducted to collect qualitative community health information needs and the ways in which public library systems can address them.

Heterogeneous risk tolerance, in-groups, and epidemic waves

There is a growing interest in the joint modeling of the dynamics of disease and health-related beliefs and attitudes, but coupling mechanisms are yet to be understood. We introduce a model where risk information, which can be delayed, comes in two flavors, including historical risk derived from perceived incidence data and predicted risk information. Our model also includes an interpretation domain where the behavioral response to risk information is subject to in-group pressure. We then simulate how the strength of behavioral reaction impacts epidemic severity as measured by epidemic peak size, number of waves, and final size. Simulated behavioral response is not effective when the level of protection that prophylactic behavior provides is as small as 50% or lower. At a higher level of 75% or more, we see the emergence of multiple epidemic waves. In addition, simulations show that different behavioral response profiles can lead to various epidemic outcomes that are non-monotonic with the strength of reaction to risk information. We also modeled heterogeneity in the response profile of a population and find they can lead to less severe epidemic outcome in terms of peak size.

Between the Facts and a Hard Place: Trust Judgments and Affective Responses in Information-Seeking Processes During Early COVID-19

This study examined the formation of trust judgments of information sources about COVID-19 and the role played by emotions in this information seeking process. Twenty-seven in-depth interviews with Americans revealed that both trust and affective responses were present in information seeking of health messages, thus discovering the applicability of Risk Information Seeking and Processing (RISP) model's propositions during pandemics. Using qualitative methods to assess RISP variables in a new context (COVID-19), the study proposes modifications to the existing model. It also extends the socio-psychological traditions on which the RISP model was based, by finding that when evaluating information sources during pandemics, under conditions of high issue relevance, individuals' peripheral evaluation of messages might precede systematic evaluation and might be used as a selection criteria for further elaboration. Finally, the assessments of source credibility as a peripheral cue in this study expand current theoretical understandings by including compassion as a possible new dimension.

Long-term outcomes for epidemic viral pneumonia survivors after discharge from the intensive care unit: a systematic review

OBJECTIVE

To review the long-term outcomes (functional status and psychological sequelae) of survivors of critical illnesses due to epidemic viral pneumonia before the COVID-19 pandemic and to establish a benchmark for comparison of the COVID-19 long-term outcomes.

METHODS

This systematic review of clinical studies reported the long-term outcomes in adults admitted to intensive care units who were diagnosed with viral epidemic pneumonia. An electronic search was performed using databases: MEDLINE®, Web of Science™, LILACS/IBECS, and EMBASE. Additionally, complementary searches were conducted on the reference lists of eligible studies. The quality of the studies was assessed using the Newcastle-Ottawa Scale. The results were grouped into tables and textual descriptions.

RESULTS

The final analysis included 15 studies from a total of 243 studies. This review included 771 patients with Influenza A, Middle East Respiratory Syndrome, and Severe Acute Respiratory Syndrome. It analyzed the quality of life, functionality, lung function, mortality, rate of return to work, rehospitalization, and psychiatric symptoms. The follow-up periods ranged from 1 to 144 months. We found that the quality of life, functional capacity, and pulmonary function were below expected standards.

CONCLUSION

This review revealed great heterogeneity between studies attributed to different scales, follow-up time points, and methodologies. However, this systematic review identified negative long-term effects on patient outcomes. Given the possibility of future pandemics, it is essential to identify the long-term effects of viral pneumonia outbreaks. This review was not funded. Prospero database registration: (www.crd.york.ac.uk/prospero) under registration ID CRD42021190296.

'It's quite a balancing act': A qualitative study of parents' experiences and information needs related to the COVID-19 pandemic

INTRODUCTION

Throughout the coronavirus disease 2019 (COVID-19) pandemic, parents and children faced significant challenges as a result of prevention measures implemented to control the spread of the disease. Ensuring that families have access to essential health information is critical for improving health outcomes and adherence to public health recommendations. Understanding parents' experiences and information needs related to the pandemic and associated health measures (e.g., vaccination, mask wearing, social distancing, etc.) will inform the development and dissemination of resources tailored to parents' needs to support informed decision making.

METHODS

We conducted a qualitative descriptive study. Between September and November 2021, parents across Canada were recruited online via social media and community organisation newsletters and listservs to participate in focus groups via Zoom. Focus groups were audio-recorded and transcribed verbatim. Data were coded and analysed using thematic analysis. Participants completed a demographic questionnaire before the focus groups (via SimpleSurveys).

RESULTS

Sixty-seven parents participated in 12 focus groups between October and November 2021. In relation to experiences, parents felt they were (1) constantly trying to balance everything, and (2) trying to do their best with the information they had at the time when making decisions. Regarding information needs, parents reflected on (1) how difficult it was navigating copious amounts of changing information and finding credible sources to rely on, (2) the need for resources that were easily accessible, credible and in plain language and (3) the need for resources that were tailored to their needs to support them and their children make informed decisions.

CONCLUSIONS

Trying to mitigate the risk of COVID-19 infection and adhere to public health recommendations, while balancing various factors (work, online learning, and social interactions) and navigating changing information, was overwhelming for many parents. Reflecting on their needs, parents suggested tailored resources that provided concise, credible information in plain language to help them make informed decisions and navigate conflicting information. These findings reveal important knowledge gaps and highlight areas that need to be addressed to support parents during the pandemic period and beyond.

PATIENT OR PUBLIC CONTRIBUTION

Members of our established Paediatric Parent Advisory Group (P-PAG) were involved as collaborators throughout the planning (grant proposal), development and execution of the study. P-PAG members gave input on the design of the questionnaire, interview guide, recruitment strategy and interpretation of findings.

Experience Pandemic Fatigue? Social Media Use May Play a Role: Testing a Model of Pandemic Fatigue Development from a Social Media Perspective

Recently, the World Health Organization noted the increasing signs of pandemic fatigue around the world and repeatedly warned the public to continue to stay cautious. The current study explores whether social media use plays a role in the formation and development of pandemic fatigue. Drawing on a survey of 849 social media users in China, the findings indicated that different social media behaviors play different roles in affecting pandemic fatigue. Specifically, social interaction use is negatively associated with pandemic fatigue, mediated by more social support and reduced hopelessness. Active content use contributes to pandemic fatigue development, an association explained by information overload and desensitization. Notably, passive content use is found to trigger reactance but is negatively associated with pandemic fatigue, which is fully mediated by reduced information overload. This study seeks to understand how pandemic fatigue is associated with social media use and to explicate the underlying mechanism. The implications of the findings and directions for future research are discussed.

How does herd behaviour impact the purchase intention? Explore the moderating effect of risk aversion in the context of Vietnamese consumers

Managers have been applying the influence of herd behaviour to stimulate purchase intention but have not achieved precise results because they do not clearly understand the mechanism of this relationship. This article aims to determine the effect of herd behaviour on the relationship between information adoption and purchase intention and the moderating of risk aversion. With 17 variables for four concepts, data was collected online with 340 respondents and analysed with a partial least squares structural equation modelling. When considering herd behaviour in terms of subjective norms with corroborated information, this study upgrades the classic role of the theory of planned behaviour in purchase intention. The findings indicate a positive relationship between herd behaviour, information adoption and purchase intention. In particular, risk aversion is a positive moderator of the relationship between herd behaviour and purchase intention. This result is a significant addition to the theoretical body and shows that risk aversion can drive purchase intention through herd behaviour. In other words, this study upgrades the perception of information source authentication through herd behaviour to explain the purchase intentions of Vietnamese consumers. These results show that managers can create risky situations to promote herd behaviour. They can also apply information adoption stimuli to stimulate herd behaviour. At the same time, through the information adoption mechanism, consumers can be more alert to the effect of herd behaviour and have more opinions when making purchases.

Intersection of Perceived COVID-19 Risk, Preparedness, and Preventive Health Behaviors: Latent Class Segmentation Analysis

Background

COVID-19 risk perception is a factor that influences the pandemic spread. Understanding the potential behavioral responses to COVID-19, including preparedness and adoption of preventive measures, can inform interventions to curtail its spread.

Objective

We assessed self-perceived and latent class analysis (LCA)-based risks of COVID-19 and their associations with preparedness, misconception, information gap, and preventive practices among residents of a densely populated city in Nigeria.

Methods

We used data from a cross-sectional survey conducted among residents (N=140) of Onitsha, Nigeria, in March 2020, before the government-mandated lockdown. Using an iterative expectation-maximization algorithm, we applied LCA to systematically segment participants into the most likely distinct risk clusters. Furthermore, we used bivariate and multivariable logistic regression models to determine the associations among knowledge, attitude, preventive practice, perceived preparedness, misconception, COVID-19 information gap, and self-perceived and LCA-based COVID-19 risks.

Results

Most participants (85/140, 60.7%) had good knowledge and did not perceive themselves as at risk of contracting COVID-19. Three-quarters of the participants (102/137, 74.6%; P<.001) experienced COVID-19-related information gaps, while 62.9% (88/140; P=.04) of the participants had some misconceptions about the disease. Conversely, most participants (93/140, 66.4%; P<.001) indicated that they were prepared for the COVID-19 pandemic. The majority of the participants (94/138, 68.1%; P<.001) self-perceived that they were not at risk of contracting COVID-19 compared to 31.9% (44/138) who professed to be at risk of contracting COVID-19. Using the LCA, we identified 3 distinct risk clusters (P<.001), namely, prudent or low-risk takers, skeptics or high-risk takers, and carefree or very high-risk takers with prevalence rates (probabilities of cluster membership that represent the prevalence rate [γc]) of 47.5% (95% CI 40%-55%), 16.2% (95% CI 11.4%-20.9%), and 36.4% (95% CI 28.8%-43.9%), respectively. We recorded a significantly negative agreement between self-perceived risk and LCA-based segmentation of COVID-19 risk (κ=-0.218, SD 0.067; P=.01). Knowledge, attitude, and perceived need for COVID-19 information were significant predictors of COVID-19 preventive practices among the Onitsha city residents.

Conclusions

The clustering patterns highlight the impact of modifiable risk behaviors on COVID-19 preventive practices, which can provide strong empirical support for health prevention policies. Consequently, clusters with individuals at high risk of contracting COVID-19 would benefit from multicomponent interventions delivered in diverse settings to improve the population-based response to the pandemic.

Spanish-Language Communication of COVID-19 Information Across US Local Health Department Websites

The COVID-19 pandemic has brought new urgency to a longstanding problem: the US health system is not well-equipped to accommodate the country's large limited English proficient (LEP) population in times of national emergency. We examined the landscape of Spanish-language COVID-19 website information compared to information in English provided by health departments of the top 10 cities by population in the USA. For each city, coders evaluated three score measures (amount of information, presentation quality, and ease of navigation) for six content types (general information, symptoms, testing, prevention, vaccines, and live statistics) across six delivery modes (print resources, website text, videos, external links, data visualization, and media toolkits). We then calculated a grand average, combining all cities' values per score measure for each content type-delivery mode combination, to understand the landscape of Spanish-language information across the country. Overall, we found that, for all cities combined, nearly all content types and delivery modes in Spanish were inferior or non-existent compared to English resources. Our findings also showed much variability and spread concerning content type and delivery mode of information. Finally, our findings uncovered three main clusters of content type and delivery mode combinations for Spanish-language information, ranging from similar to worse, compared to information in English. Our findings suggest that COVID-19 information was not equivalently provided in Spanish, despite federal guidance regarding language access during times of national emergency. These results can inform ongoing and future emergency communication plans for Spanish-preferring LEP and other LEP populations in the USA.

Hindsight2020: Characterizing Uncertainty in the COVID-19 Scientific Literature

Following emerging, re-emerging, and endemic pathogen outbreaks, the rush to publish and the risk of data misrepresentation, misinterpretation, and even misinformation puts an even greater onus on methodological rigor, which includes revisiting initial assumptions as new evidence becomes available. This study sought to understand how and when early evidence emerges and evolves when addressing different types of recurring pathogen-related questions. By applying claim-matching by means of deep learning Natural Language Processing (NLP) of coronavirus disease 2019 (COVID-19) scientific literature against a set of expert-curated evidence, patterns in timing across different COVID-19 questions-and-answers were identified, to build a framework for characterizing uncertainty in emerging infectious disease (EID) research over time. COVID-19 was chosen as a use case for this framework given the large and accessible datasets curated for scientists during the beginning of the pandemic. Timing patterns in reliably answering broad COVID-19 questions often do not align with general publication patterns, but early expert-curated evidence was generally stable. Because instability in answers often occurred within the first 2 to 6 mo for specific COVID-19 topics, public health officials could apply more conservative policies at the start of future pandemics, to be revised as evidence stabilizes.

Antecedents to Consumers' Green Hotel Stay Purchase Behavior during the COVID-19 Pandemic: The influence of green consumption value, emotional ambivalence, and consumers' perceptions

When traveling for tourism purposes during the COVID-19 pandemic, some consumers might want to stay at green hotels because of these products' images and practices. At the same time, these green establishments also need consumer support to remain in business once the virus is under control. This study explores green hotels' challenges and opportunities by examining the factors that contribute to consumers' green hotel stay purchase behavior during the COVID-19 pandemic. A total of 429 participants completed questionnaires, and the answers revealed that consumers' perceived health risks and green hotels' perceived persuasiveness can affect their emotional ambivalence that, in turn, can affect their green purchase behavior of hotel stays. Furthermore, the relationship between emotional ambivalence and purchase behavior can be moderated by consumers' green consumption values. The findings of this research contribute to the tourism literature and green product consumption research. In addition, implications for green hotel practitioners are discussed.

Locating Medical Information during an Infodemic: Information Seeking Behavior and Strategies of Health-Care Workers in Germany

BACKGROUND

The COVID-19 pandemic has led to a flood of-often contradictory-evidence. HCWs had to develop strategies to locate information that supported their work. We investigated the information-seeking of different HCW groups in Germany.

METHODS

In December 2020, we conducted online surveys on COVID-19 information sources, strategies, assigned trustworthiness, and barriers-and in February 2021, on COVID-19 vaccination information sources. Results were analyzed descriptively; group comparisons were performed using χ²-tests.

RESULTS

For general COVID-19-related medical information (413 participants), non-physicians most often selected official websites (57%), TV (57%), and e-mail/newsletters (46%) as preferred information sources-physicians chose official websites (63%), e-mail/newsletters (56%), and professional journals (55%). Non-physician HCWs used Facebook/YouTube more frequently. The main barriers were insufficient time and access issues. Non-physicians chose abstracts (66%), videos (45%), and webinars (40%) as preferred information strategy; physicians: overviews with algorithms (66%), abstracts (62%), webinars (48%). Information seeking on COVID-19 vaccination (2700 participants) was quite similar, however, with newspapers being more often used by non-physicians (63%) vs. physician HCWs (70%).

CONCLUSION

Non-physician HCWs more often consulted public information sources. Employers/institutions should ensure the supply of professional, targeted COVID-19 information for different HCW groups.

Information overload in the context of COVID-19 pandemic: A repeated cross-sectional study

OBJECTIVES

To assess the psychometric properties of the Coronavirus Information Overload scale (CovIO) and explore relationships between CovIO, its predictors and several health behaviours related to the COVID-19 pandemic, using Cancer Information Overload (CIO) scale results as a reference for comparison.

METHODS

2003 participants representative of the French adult population answered a self-administered questionnaire over two waves of polling (N1(June 2020)= 1003, N2(January 2021)= 1000). Respondents were randomized to fill CovIO or CIO scale. Psychometric properties of scales were evaluated with Confirmatory Factor Analysis (CFA). Predictors were assessed using multivariate linear regression.

RESULTS

CovIO scale showed satisfactory psychometric properties (α=0.86, ω=0.86, RMSEA=0.050) without any measurement invariance issue. CovIO increased between waves of sampling and was significantly linked to education, health literacy and trust in institutions among other variables. A negative relationship between information overload and preventive behaviours was also observed.

CONCLUSION

The CovIO scale is a valid tool for assessing COVID-19 information overload. The dynamical formation of information overload and links with theorised predictors, especially, health literacy are confirmed.

PRACTICE IMPLICATIONS

Longitudinal designs could help better understand the potential detrimental effect of information overload and improving public health campaigns. Interventions to reduce the degree of overload are needed.

"The Part Played by People" in Times of COVID-19: Interpersonal Communication about Media Coverage in a Pandemic Crisis

The study presented in this article examined individuals' interpersonal communication about media coverage during the COVID-19 pandemic. In times of a severe public health crisis, people rely heavily on media coverage to stay informed. Communicating with others about this coverage can help them gain deeper insights and evaluate pandemic-related information. According to the two-step flow of communication, opinion leaders, such as health experts, play an important role in interpersonal communication by disseminating information, influencing others, and providing orientation. To examine the nature of interpersonal communication about pandemic-related media coverage, we conducted 22 semi-structured interviews. We explored: a) the communicative roles within the informal social network, b) the functions of the communication for the individual, and c) the potential transformations in the trajectory of the pandemic. Findings show that communication with close and more distant social contacts occurred largely on an equal basis, while the rare opinion leaders mainly emerged as information brokers. Communication about media coverage serves the functions of information sharing and retrieving, information validation, and coping with negative emotions. Finally, communication partners, roles, and conversational topics partly changed over time. Our study extends existing research on interpersonal communication about health topics, as well as on the COVID-19 pandemic.

Effects of risk exposure on emotional distress among Chinese adults during the COVID-19 pandemic: The moderating role of disruption of life and perceived controllability

Background

COVID-19 affects not only the physical health of individuals but also their mental health and different types of risk exposures are believed to have different effects on individual emotional distress.

Objective

This study explores the relationships between risk exposure, disruption of life, perceived controllability, and emotional distress among Chinese adults during the COVID-19 outbreak.

Methods

This study is based on an online survey conducted during the COVID-19 pandemic, from 1 to 10 February 2020, with a total of 2,993 Chinese respondents recruited through convenience and snowball sampling. Multiple linear regression analysis were used to examine the relationships among risk exposure, disruption of life, perceived controllability, and emotional distress.

Results

This study found that all types of risk exposures were significantly associated with emotional distress. Individuals with neighborhood infection, family member infection/close contact, and self-infection/close contact had higher levels of emotional distress (B = 0.551, 95% CI: -0.019, 1.121; B = 2.161, 95% CI: 1.067, 3.255; B = 3.240, 95% CI: 2.351, 4.129) than those without exposure. The highest levels of emotional distress occurred among individuals experiencing self-infection/close contact, while the lowest levels of emotional distress occurred among individuals experiencing neighborhood infection and the moderate levels of emotional distress occurred among individuals experiencing family member infection (Beta = 0.137; Beta = 0.073; Beta = 0.036). Notably, the disruption of life aggravated the effect of self-infection/close contact on emotional distress and family member infection/close contact on emotional distress (B = 0.217, 95% CI: 0.036, 0.398; B = 0.205, 95% CI: 0.017, 0.393). More importantly, perceived controllability lowered the strength of the association between self-infection/close contact and emotional distress, as well as family member infection/close contact and emotional distress (B = -0.180, 95% CI: -0.362, 0.002; B = -0.187, 95% CI: -0.404, 0.030).

Conclusion

These findings shed light on mental health interventions for people exposed to or infected with COVID-19 near the beginning of the pandemic, particularly those who themselves had COVID or had family members with COVID-19 risk exposure, including being infected/having close contact with an infected person. We call for appropriate measures to screen out individuals or families whose lives were, or remain, more severely affected by COVID-19. We advocate providing individuals with material support and online mindfulness-based interventions to help them cope with the after-effects of COVID-19. It is also essential to enhance the public's perception of controllability with the help of online psychological intervention strategies, such as mindfulness-based stress reduction programs and mindfulness-oriented meditation training programs.

Gender-Specificity of Fatigue and Concerns Related to the COVID-19 Pandemic-A Report on the Polish Population

BACKGROUND

The COVID-19 pandemic, which is now going on its third year, and its consequences experienced in almost every sphere of life may eventually lead to pandemic fatigue. Previous research indicates that one of the important determinants of the negative consequences of the pandemic is gender. Based on the WHO's definition of pandemic fatigue, a study was undertaken to determine the level of pandemic fatigue and concerns expressed in relation to the pandemic in Poland.

METHODS

A survey among 1064 respondents was conducted using the CATI technique during the fourth wave of the COVID-19 pandemic in Poland. Questionnaires adopted: the Polish adaptation of the Pandemic Fatigue Scale (PFS), Subjective Fatigue Symptoms (SFS), and the COVID-19 Concerns Checklist (CCC) and sociodemographic questions. The following statistical methods were employed: ANOVA analysis of variance, Mann-Whitney U test or Kruskal-Wallis test, and Chi-square test.

RESULTS

The analysis showed that women received higher overall PFS, information PFS, SFS, and pandemic-related concerns scores. Other factors that were associated with pandemic fatigue were age, treatment for chronic diseases, receipt of the COVID-19 vaccine, and COVID-19 survivor status.

CONCLUSIONS

Women in Poland are experiencing pandemic fatigue, subjective fatigue symptoms, and concerns associated with the COVID-19 pandemic at a higher rate than men. Along with implementing interventions focused on public health safety, it seems reasonable to put in place strategies to assist people who are less capable of coping with prolonged stressful situations.

COVID-19 Response Resource Engagement and User Characteristics of the Wichealth Web-Based Nutrition Education System: Comparative Cross-sectional Study

BACKGROUND

In response to the COVID-19 pandemic, Wichealth launched 4 information resources on the site's user landing dashboard page. These resources were used consistently during the period in which they were available (April 1, 2020, through October 31, 2021); however, only 9% (n=50,888) of Wichealth users eligible for inclusion in the study accessed at least one resource. User engagement with emergency response resources within the context of a web-based health educational tool has not been well investigated due to a paucity of opportunities and a lack of the ability to evaluate relevant users at scale.

OBJECTIVE

This investigation was carried out to understand if user characteristics and behaviors measured by the Wichealth web-based education system are associated with a participant's motivation, or lack thereof, to engage with the added COVID-19 resources.

METHODS

Sociodemographic characteristics were gathered from Wichealth users with at least one lesson completed and a complete user profile to identify which factors increase the likelihood of user access of any of the Wichealth COVID-19 response resources during the 19-month period between April 1, 2020, and October 31, 2021. A logistic regression analysis was conducted to determine the relative importance of all factors on the likelihood of a user accessing the COVID-19 resources.

RESULTS

A total of 50,888 unique Wichealth users included in the study accessed the COVID-19 response resources 66,849 times during the time period. During the same period, 510,939 unique Wichealth users completed at least one lesson about how to engage in healthy behaviors with respect to parent-child feeding but did not access any COVID-19 resources. Therefore, only 9% of Wichealth users who completed a lesson during the time when COVID-19 response resources were available accessed any of the information in those resources. Users of the Spanish language Wichealth version, older users, those less educated, and users with prior Wichealth lesson engagement demonstrated the greatest likelihood of COVID-19 resource use.

CONCLUSIONS

This investigation presents findings that demonstrate significant differences between Wichealth users that opted to access COVID-19-specific resources and those who chose not to during their web-based educational session. Reaching users of a web-based educational system with supplemental information may require multiple strategies to increase coverage and ensure the widest possible distribution.

Living with "long COVID": A systematic review and meta-synthesis of qualitative evidence

OBJECTIVES

Long-term health consequences of coronavirus disease (COVID-19), also known as "long COVID," has become a global health concern. In this systematic review, we aimed to synthesize the qualitative evidence on lived experiences of people living with long COVID that may inform health policymaking and practice.

METHODS

We searched six major databases and additional sources and systematically retrieved relevant qualitative studies and conducted a meta-synthesis of key findings using the Joanna Briggs Institute (JBI) guidelines and reporting standards of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist.

RESULTS

We found 15 articles representing 12 studies out of 619 citations from different sources. These studies provided 133 findings that were categorized into 55 categories. All categories were aggregated to the following synthesized findings: living with complex physical health problems, psychosocial crises of long COVID, slow recovery and rehabilitation, digital resources and information management, changes in social support, and experiences with healthcare providers, services, and systems. Ten studies were from the UK, and others were from Denmark and Italy, which highlights a critical lack of evidence from other countries.

CONCLUSIONS

More representative research is needed to understand long COVID-related experiences from diverse communities and populations. The available evidence informs a high burden of biopsychosocial challenges among people with long COVID that would require multilevel interventions such as strengthening health and social policies and services, engaging patients and caregivers in making decisions and developing resources, and addressing health and socioeconomic disparities associated with long COVID through evidence-based practice.

The relationship between transmission misinformation, COVID-19 stress and satisfaction with life among adults

The perplexing evolution of the COVID-19 pandemic has had a significant effect on the spiritual lives of Vietnamese people in general, and particularly adults. The objective of this study was to ascertain the link between adult satisfaction with life and COVID-19 stress in Vietnam and investigate if COVID-19 transmission disinformation modifies the effect of COVID-19 stress on adult satisfaction with life. A total of 435 Vietnamese adults were enrolled online to finish answering, including the Satisfaction with Life Scale (SL), the COVID-19 Stress Scale (CS), and the COVID-19 Transmission Misinformation Scale (CTMS), consisting of 350 females and 85 males. Correlation, regression, and basic mediation analyses were used to dissociate the data. According to the findings of our study, there is a difference in gender in satisfaction with life. Females have a greater degree of satisfaction with life than males. Significant differences exist between relatives of direct and indirect COVID-19 transmission misinformation workers. People who had relatives who were frontline medical staff had higher COVID-19 Transmission Misinformation than others. There is a positive correlation between satisfaction with life and COVID-19 spreading disinformation, but it can have adverse effects on persons' physical health. Additionally, COVID-19 transmission misinformation has a role in the relationship between COVID-19 stress and adult life satisfaction. Individuals are more likely to access misinformation about COVID-19 transmission, which results in enhanced life satisfaction. During the COVID-19 epidemic, adults in Vietnam should be aware of the damaging consequences of COVID-19 transmission misinformation on their stress levels. Stress may significantly influence not just one's mental health but also other aspects of one's life. Clinicians should be aware of COVID-19 transmission misinformation and stress, which affect psychological treatment.

[COVID-19 risk groups and their strategies for navigating information overload during the first year of the pandemic in Chile]

As a part of the EIS-COVID project on the access and use of information during the COVID-19 pandemic in Chile, the objective of this paper was to ascertain how people's informational environment was constructed during the first stage of the pandemic. It discusses the results of a qualitative study of people belonging to risk groups for COVID-19: people over 18 and under 65 with chronic diseases (hypertension and diabetes) and people 65 and over. Ninety semi-structured interviews were conducted in the Metropolitan and Valparaíso regions between September 2020 and January 2021. The results reveal the problematic nature of the information overload encountered by these groups and the strategies they used to navigate it: a) information avoidance; b) content corroboration and active search for reliable sources; and c) differentiated media use.

Do students look for information differently? Information-seeking behavior during the COVID-19 pandemic

Purpose

The purpose of this study is to explore the COVID-19 information-seeking behavior of the students in a developing country. This study also explores how the use of information sources changes over time by the students of a public university in Bangladesh.

Design/methodology/approach

An e-mail was sent along with an online questionnaire to 350 students in a public university in Bangladesh. After sending a couple of follow-up e-mails in May and June 2022, we got limited responses. Later in July, we distributed the same questionnaire in the printed form to the students in the seminar library, computer laboratory and in the classroom. Finally, we got back 270 responses, and the response rate was 77.14%. Pearson’s correlation coefficient (effect size) and nonparametric test (Mann–Whitney U test) were used to see the differences in using information sources over times and overall understanding of choosing the COVID-19 information sources by the demographic variables.

Findings

This study found that the COVID-19 pandemic has made an increased demand for a variety of information, and the sources of information changes over time before and during the COVID-19 pandemic. The majority of the students faced challenges while seeking COVID-19 information which mostly falls under the availability of mis–disinformation. Students used more social media tools during the COVID-19 than the pre-COVID-19 time, and there are some significant relationships found between the students’ demographic variables and students’ understanding of choosing the COVID-19 information sources.

Originality/value

To the best of the authors’ knowledge, this study is one of the first to analyze changes in information behavior patterns of students in a developing country and understand the challenges faced by the students during the pandemic.

The Future of Infodemic Surveillance as Public Health Surveillance

Public health systems need to be able to detect and respond to infodemics (outbreaks of misinformation, disinformation, information overload, or information voids). Drawing from our experience at the US Centers for Disease Control and Prevention, the COVID-19 State of Vaccine Confidence Insight Reporting System has been created as one of the first public health infodemic surveillance systems. Key functions of infodemic surveillance systems include monitoring the information environment by person, place, and time; identifying infodemic events with digital analytics; conducting offline community-based assessments; and generating timely routine reports. Although specific considerations of several system attributes of infodemic surveillance system must be considered, infodemic surveillance systems share several similarities with traditional public health surveillance systems. Because both information and pathogens are spread more readily in an increasingly hyperconnected world, sustainable and routine systems must be created to ensure that timely interventions can be deployed for both epidemic and infodemic response.

A Systematic Literature Review and Meta-Analysis of Studies on Online Fake News Detection

The ubiquitous access and exponential growth of information available on social media networks have facilitated the spread of fake news, complicating the task of distinguishing between this and real news. Fake news is a significant social barrier that has a profoundly negative impact on society. Despite the large number of studies on fake news detection, they have not yet been combined to offer coherent insight on trends and advancements in this domain. Hence, the primary objective of this study was to fill this knowledge gap. The method for selecting the pertinent articles for extraction was created using the preferred reporting items for systematic reviews and meta-analyses (PRISMA). This study reviewed deep learning, machine learning, and ensemble-based fake news detection methods by a meta-analysis of 125 studies to aggregate their results quantitatively. The meta-analysis primarily focused on statistics and the quantitative analysis of data from numerous separate primary investigations to identify overall trends. The results of the meta-analysis were reported by the spatial distribution, the approaches adopted, the sample size, and the performance of methods in terms of accuracy. According to the statistics of between-study variance high heterogeneity was found with τ2 = 3.441; the ratio of true heterogeneity to total observed variation was I2 = 75.27% with the heterogeneity chi-square (Q) = 501.34, the degree of freedom = 124, and p ≤ 0.001. A p-value of 0.912 from the Egger statistical test confirmed the absence of a publication bias. The findings of the meta-analysis demonstrated satisfaction with the effectiveness of the recommended approaches from the primary studies on fake news detection that were included. Furthermore, the findings can inform researchers about various approaches they can use to detect online fake news.

Association between coping strategies and professional quality of life in nurses and physicians during COVID-19: A cross-sectional study

AIM

To explore the associations between coping strategies (social support, avoidance strategies, positive attitude, problem orientation, and transcendent orientation) and professional quality of life (compassion satisfaction, burnout, and secondary traumatic stress) of nurses and physicians during COVID-19.

BACKGROUND

Little is known about the association between the way health care workers cope with stress and their professional quality of life during the unusual circumstances that the COVID-19 pandemic imposed.

METHODS

A single-centre cross-sectional observational study was conducted with health care professionals (n = 143). The Professional Quality of Life scale Version 5 and the Italian Version of the Coping Orientations to the Problems Experienced measured the professional quality of life and coping strategies, respectively.

RESULTS

Avoidance, problem orientation and social support coping worsened professional quality of life, whereas a positive attitude improved it.

CONCLUSIONS

This study on the relationship between coping strategies and the professional quality of life during health emergencies like the COVID-19 pandemic can inform interventions aiming to foster functional coping strategies in health care personnel to sustain their professional quality of life.

IMPLICATIONS FOR NURSING MANAGEMENT

Identifying people at greater risk of burnout and secondary traumatic stress can guide tailored interventions to improve health care workers' wellbeing. Increased professional quality of life might turn in improved quality of care and reduced absenteeism and intention to leave.

The effect of information overload and perceived risk on tourists' intention to travel in the post-COVID-19 pandemic

Since the COVID-19 pandemic, the tourism economy has been seriously affected. China has implemented a direct traveling management mechanism and recovered from the pandemic faster than the rest of the world. However, the COVID-19 situation is complicated and uncontrollable because of the available unclear information including difficult medical terminologies. This study attempts to find the determinants of the travel intention of China's tourists in the post-COVID-19 epidemic. Along with information overload and perception risk, an expanded research model of the Theory of Planned Behavior (TPB) was employed to propose the theoretical framework of this study. A survey was conducted among 518 tourists who spend their holiday in Hainan, which is a popular tourist destination in China. The empirical results show that information overload positively and significantly impacted perceived risk. Furthermore, perceived risk negatively affects the intention to travel. Perceived risk also negatively affected the attitude toward traveling. However, response self-efficacy did not have a significant effect on the intention to travel. Finally, based on the analysis results, this study proposes relevant research contributions and practical recommendations with management implications for the travel industries.

The Development and Preliminary Application of the Chinese Version of the COVID-19 Vaccine Literacy Scale

(1) Background: Vaccine literacy (VL) of the public is crucial to deal with anti-vaccination rhetoric. This study aims to (1) develop a Chinese COVID-19 Vaccine Literacy Scale and examine the factor structure and psychometric characteristics, and (2) explore the association between COVID-19 VL and sociodemographic characteristics and other variables; (2) Methods: An online cross-sectional survey was conducted among 362 Chinese residents from 23 May 2022 to 31 May 2022 using snowball sampling; (3) Results: Exploratory and confirmatory factor analysis indicated that the scale of 15 items, consisting of three factors, functional, interactive and critical vaccine literacy, explained 63.3% of the total variance. Cronbach's α coefficient was 0.885 for the overall scale: 0.838, 0.891, and 0.857 for three subscales, respectively. The results showed a medium level of vaccine literacy (M = 3.71, SD = 0.72) and significant differences among functional, interactive, and critical vaccine literacy (p < 0.001). The level of vaccine literacy grew with the level of education (p < 0.001) and age (p = 0.049). Men, participants who were single, or those living in rural areas had a lower level of vaccine literacy; (4) Conclusions: The Chinese COVID-19 VL Scale has adequate validity and reliability for assessing vaccine literacy among Chinese residents. A deep understanding of the factors that affect vaccine literacy is needed.

[Conspiracy theories and COVID-19: How do conspiracy beliefs arise?]

The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 has caused an unprecedented global crisis, and a proliferation of conspiracy theories. These conspiratorial beliefs has contributed to weakening the credibility of government public health measures, limiting citizens' access to reliable sources of information, and disrupting the response of health systems to the crisis. Several hypotheses have been proposed in psychology and social science to understand the genesis of these beliefs during a pandemic, including generational, socio-cultural and political characteristics of individuals, and psychological factors such as the desire to preserve one's safety, to maintain a positive self-image, or even to strengthen its social role. However, recent discoveries in cognitive science about belief updating mechanisms offer new insights into the generation of conspiratorial beliefs across time and culture. In this paper, we offer a definition of conspiracy theory and a classification of conspiracy beliefs during the COVID-19 pandemic. We show how the mechanisms of belief updating may explain the genesis of conspiracy theories, and we propose several hypotheses supported by contemporary research in cognitive and social science.

How do information overload and message fatigue reduce information processing in the era of COVID-19? An ability–motivation approach

The global outbreak of COVID-19 in 2020 has led to the dominance of COVID-19 prevention information on all media channels. Drawing on the ability–motivation model of information processing, this study examined how such an information overabundance hampered individuals’ ability and motivation to process in the era of COVID-19. With a survey conducted from 493 participants, we found that less message elaboration of COVID-19 prevention information was predicted by greater message fatigue, a state of low motivation due to information overabundance. In addition, greater message fatigue was accompanied by greater information overload, a state of low ability due to information overabundance. Moreover, certain motivation-related (i.e. health status, trait reactance and frequency of information seeking) and ability–related factors (i.e. health literacy, health status, trait anxiety and information quality) were found to be associated with message fatigue and information overload, respectively. The theoretical and practical implications are discussed.

Validity of a scale of Latin American perception of fear and concern transmitted by the media during the pandemic (MED-LAT-COVID-19)

Introduction

The pandemic has caused fear, especially due to the daily disseminated news; however, there is not an instrument to measure this fear in multiple realities.

Objective

To validate a scale for Latin American perception of fear and concern transmitted by the media during the pandemic.

Methodology

This is an instrumental study. The survey was based on an instrument which was pre-validated in Peru and submitted to 15 experts in almost 10 countries. Subsequently, thousands of people were surveyed in 13 Latin American countries, whose answers were used for descriptive statistics for validation.

Results

Confirmatory Factor Analysis (CFA) generated two re-specifications, where four items were eliminated from the original scale. With these changes, the global goodness of fit (absolute and incremental) were satisfactory (CFI = 0.978; TLI = 0.964; GFI = 0.976; AGFI = 0.949; RMSEA = 0.075 and RMR = 0.029). The first factor measures the media exaggeration (three questions); the second, the fear transmitted by the media (three questions); and the third, the fear transmitted by others different from the media (two questions). The Cronbach's alpha coefficient was higher than 0.70 for the scale and its factors.

Conclusion

The MED-LAT-COVID-19 scale reported a good adjustment. It has eight items in three factors, which could be measured in an isolated way, or along with other tests that assess mental health in the current pandemic context.

Pathway linking health information behaviors to mental health condition during the COVID-19 infodemic: A moderated mediation analysis

Background

The COVID-19 outbreak is no longer a pure epidemiological concern but a true digital infodemic. Numerous conflicting information and misinformation occupy online platforms and specifically social media. While we have lived in an infodemic environment for more than 2 years, we are more prone to feel overwhelmed by the information and suffer from long-term mental health problems. However, limited research has concentrated on the cause of these threats, particularly in terms of information processing and the context of infodemic.

Objective

This study proposed and tested moderated mediation pathways from two types of health information behaviors (social media engagement and interpersonal communication) on information overload and mental health symptoms-long-term stress.

Methods

We conducted a cross-sectional online survey between May and June of 2021 among the Malaysian public. The final sample size was 676 (N = 676). A conceptual model was built to guide the data analysis. We conducted structural equation modeling (SEM), moderation and mediation analyses to examine each direct pathway, moderating and mediating effects.

Results

According to the pathway analysis, we found that, during the infodemic period, engaging COVID-19 information on social media positively associated with information overload, but interpersonal communication was negatively related to it. As the proximal outcome, there was also a positive association between information overload and the final outcome, perceived stress. The moderation analysis only reported one significant interaction: risk perception weakened the association between social media engagement and information overload. A conditional indirect effect was demonstrated and the indirect associated between social media engagement and perceived stress mediated through information overload was further moderated by COVID-19 risk perception.

Conclusion

This research offers new grounds for understanding health information behaviors and their consequences in the COVID-19 infodemic. We particularly highlighted the distinct functions of health information behaviors in causing information overload, as well as the importance of personal health belief in this process. Our proposed model contributes to the strategies of developing health messaging strategies that may be utilized by public health researchers and health educators in the future.

The Effects of Receiving and Expressing Health Information on Social Media during the COVID-19 Infodemic: An Online Survey among Malaysians

Social media is used by the masses not only to seek health information but also to express feelings on an array of issues, including those related to health. However, there has been little investigation on the influence of expressing and receiving information in terms of health-related engagement on social media. Moreover, little is known of the cognitive mechanisms underlying the expression and reception of health information on information overload (IO) during an infectious disease outbreak. Guided by the Cognitive Mediation Model (CMM), this study proposes a conceptual model to understand the effects of receiving and expressing COVID-19 information on social media on IO. Using an online survey conducted in Malaysia, our results indicated that risk perception positively predicted the reception and expression of information which, in turn, was positively associated with perceived stress and IO. Additionally, perceived stress triggered IO, indicating that the greater the perceived stress from health information engagement, the higher the likelihood of one experiencing IO during the pandemic. We conclude that the CMM can be extended to study IO as an outcome variable. More studies in diverse health contexts need to be conducted to enhance the conceptualization and operationalization of IO in health information processing.

The relationship between information overload and state of anxiety in the period of regular epidemic prevention and control in China: a moderated multiple mediation model

This study aimed to examine the relationship between information overload and individual state anxiety in the period of regular epidemic prevention and control and mediating effect of risk perception and positive coping styles. Further, we explored the moderating role of resilience. 847 Chinese participated in and completed measures of information overload, risk perception, positive coping styles, state anxiety, and resilience. The results of the analysis showed that information overload significantly predicted the level of individual state anxiety (β = 0.27, p < 0.001). Risk perception partially mediate the relationship between information overload and state anxiety (B = 0.08, 95%CI = [0.05, 0.11]) and positive coping styles also partially mediate the relationship between information overload and state anxiety(B = -0.14, 95%CI = [-0.18, -0.10]). In addition, resilience moderated the mediating effects of risk perception (β = -0.07, p < 0.05) and positive coping styles (β = -0.19, p < 0.001). Resilience also moderated the effect of information overload on state anxiety (β = -0.13, p < 0.001). These results offer positive significance for understanding the internal mechanism of the influence of information overload on individual state anxiety in the epidemic environment and shed light on how to reduce people's state anxiety during an epidemic.

A Cross-Sectional Study of Knowledge, Attitudes, and Practices concerning COVID-19 Outbreaks in the General Population in Malang District, Indonesia

Lack of knowledge often leads to nonchalant attitudes and improper practices that expose people to greater risks during a pandemic. Therefore, improving the general public’s knowledge, attitudes, and practices (KAP) concerning coronavirus disease (COVID-19) can play a pivotal role in reducing the risks, especially in a country such as Indonesia with its scarcity of health resources for testing and tracing. Using the case of Malang District, this study set out to evaluate KAP regarding COVID-19 and its risk factors immediately after the Malang health authorities implemented various preventive measures. A population-based survey involving 3425 individuals was carried out between 1 May and 20 May 2020. Our findings revealed that less than half of the respondents demonstrated accurate knowledge (25.3%), positive attitudes (36.6%), or frequent best practices (48.8%) with regard to COVID-19 prevention. The results of logistic regression analyses showed that more accurate knowledge was associated with more positive attitudes and more frequent best practices (OR = 1.603, p-value < 0.001; OR = 1.585, p-value < 0.001, respectively). More positive attitudes were also associated with more frequent best practices (OR = 1.126, p-value < 0.001). The level of KAP varied according to sociodemographic characteristics, access to the services of community health workers, and mobile health technology for COVID-19 screening. Some global health proposals to improve health behaviors among the general public in the context of the scarcity of health resource settings are suggested based on the study findings.

Stratified Impacts of the Infodemic During the COVID-19 Pandemic: Cross-sectional Survey in 6 Asian Jurisdictions

BACKGROUND

Although timely and accurate information during the COVID-19 pandemic is essential for containing the disease and reducing mental distress, an infodemic, which refers to an overabundance of information, may trigger unpleasant emotions and reduce compliance. Prior research has shown the negative consequences of an infodemic during the pandemic; however, we know less about which subpopulations are more exposed to the infodemic and are more vulnerable to the adverse psychological and behavioral effects.

OBJECTIVE

This study aimed to examine how sociodemographic factors and information-seeking behaviors affect the perceived information overload during the COVID-19 pandemic. We also investigated the effect of perceived information overload on psychological distress and protective behavior and analyzed the socioeconomic differences in the effects.

METHODS

The data for this study were obtained from a cross-national survey of residents in 6 jurisdictions in Asia in May 2020. The survey targeted residents aged 18 years or older. A probability-based quota sampling strategy was adopted to ensure that the selected samples matched the population's geographical and demographic characteristics released by the latest available census in each jurisdiction. The final sample included 10,063 respondents. Information overload about COVID-19 was measured by asking the respondents to what extent they feel overwhelmed by news related to COVID-19. The measure of psychological distress was adapted from the Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5). Protective behaviors included personal hygienic behavior and compliance with social distancing measures.

RESULTS

Younger respondents and women (b=0.20, 95% CI 0.14 to 0.26) were more likely to perceive information overload. Participants self-perceived as upper or upper-middle class (b=0.19, 95% CI 0.09 to 0.30) and those with full-time jobs (b=0.11, 95% CI 0.04 to 0.17) tended to perceive higher information overload. Respondents who more frequently sought COVID-19 information from newspapers (b=0.12, 95% CI 0.11 to 0.14), television (b=0.07, 95% CI 0.05 to 0.09), and family and friends (b=0.11, 95% CI 0.09 to 0.14) were more likely to feel overwhelmed. In contrast, obtaining COVID-19 information from online news outlets and social media was not associated with perceived information overload. There was a positive relationship between perceived information overload and psychological distress (b=2.18, 95% CI 2.09 to 2.26). Such an association was stronger among urban residents, full-time employees, and those living in privately owned housing. The effect of perceived information overload on protective behavior was not significant.

CONCLUSIONS

Our findings revealed that respondents who were younger, were female, had a higher socioeconomic status (SES), and had vulnerable populations in the household were more likely to feel overwhelmed by COVID-19 information. Perceived information overload tended to increase psychological distress, and people with higher SES were more vulnerable to this adverse psychological consequence. Effective policies and interventions should be promoted to target vulnerable populations who are more susceptible to the occurrence and negative psychological influence of perceived information overload.

Perceived Information Overload and Unverified Information Sharing on WeChat Amid the COVID-19 Pandemic: A Moderated Mediation Model of Anxiety and Perceived Herd

Individuals' unverified information sharing on social media, namely, sharing information without verification, is a major cause of the widespread misinformation amid the COVID-19 pandemic. The association between perceived information overload and unverified information sharing has been well documented in the cognitive overload approach. However, little is known about the underlying mechanism of this process. This study aims to explore the mediating role of anxiety and the moderating role of perceived herd between perceived information overload and unverified information sharing on WeChat. Anxiety demonstrates people's emotional response to the pandemic, whereas perceived herd describes a willingness to share certain information if it has been shared by many. The results of an online survey in China (N = 525) showed that perceived information overload was positively associated with unverified information sharing. In addition, this relationship was partially mediated by anxiety. Moreover, perceived herd positively moderated the link between anxiety and unverified information sharing, such that the indirect effect of perceived information overload on unverified information sharing via anxiety was significant in conditions where the level of perceived herd was high, whereas the indirect effect was not significant in conditions where the level of perceived herd was low. The moderated mediation model extends the cognitive overload approach and indicates that unverified information sharing is not only an individual strategy to cope with information overload but also a herding behavior to manage anxiety. Practical implications for curbing people's tendencies toward unverified information sharing on social media are discussed.

COVID-19 vaccine literacy in patients with systemic autoimmune diseases

COVID-19 related infodemic is a threat to the successful COVID-19 vaccination campaigns. This might be especially apparent for patients with autoimmune diseases since there is no data available about the balance between benefits and risks of the newly developed COVID-19 vaccines in this population. We aim (i) to evaluate vaccine literacy skills in a population of patients with systemic autoimmune diseases, (ii) to examine the potential associations between vaccine literacy skills and sociodemographic characteristics and (iii) to analyze the relationships between attitudes, perceptions and beliefs about current vaccinations and vaccine literacy skills and sociodemographic characteristics. A cross-sectional study was conducted among 319 patients with systemic autoimmune diseases (92% females; 49.5% of patients in the 31-50 years age category). The vaccine literacy levels were determined using the Health Literacy about Vaccination in adulthood in Italian (HLVa-IT). Sociodemographic characteristics including gender, age, country and area of residence, civil status, socioeconomic status, educational attainment and occupational status were evaluated. The mean vaccine literacy functional and interactive-critical scores were 2.59 ± 0.74 and 3.07 ± 0.60, respectively. The vaccine literacy interactive-critical score was higher in females than in males (p = 0.048). Interactive-critical scores were associated with the area of residence, civil status and socioeconomic status, with the highest score in urban area of ≥ 100.000 inhabitants (p = 0.045), in widow patients (p = 0.023) and in patients with high socioeconomic status (p = 0.018). Significant differences were observed between the different education levels, for both the functional and the interactive-critical scores (p = 0.002 and p < 0.001, respectively), the highest score was observed in patients who completed a university degree. The level of vaccine literacy for functional and interactive-critical scales were medium. Area of residence, civil status and socioeconomic status represented determinants of vaccine literacy interactive-critical scale. Educational attainment also contributes to vaccine literacy functional scale. Insight into these factors is required to ensure an optimal vaccine literacy level in patients with autoimmune diseases.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s12144-022-02713-y.

"How do you shelter in place on the road?": Building Information Resilience through Communal Support for Van Dwellers in the Onset of Covid-19

During the onset of the Covid-19 pandemic, new health information was being disseminated at unprecedented rates which included ever-changing mandates and regulations, resulting in information overload for many. Shelter in place orders are the pandemic-related information that will be discussed. As these dynamic orders were announced and enforced, mobile populations-people who live in their vans or "van dwellers"-abandoned life on the road and rushed to loved ones to abide by social distancing directives. Others had nowhere to turn. This pilot study of van dweller's information practices focuses on the early weeks of the pandemic and how this population adapted to an overwhelming information environment. Using the information resilience conceptual framework, I describe how van dwellers adapted when a myriad of information and misinformation was circulating. The van dweller community, and their supporters, banded together to provide resources and safe spaces in a time of crisis.

Machine Learning-Based Prediction Models for Depression Symptoms Among Chinese Healthcare Workers During the Early COVID-19 Outbreak in 2020: A Cross-Sectional Study

BACKGROUND

The 2019 novel coronavirus (COVID-19)-related depression symptoms of healthcare workers have received worldwide recognition. Although many studies identified risk exposures associated with depression symptoms among healthcare workers, few have focused on a predictive model using machine learning methods. As a society, governments, and organizations are concerned about the need for immediate interventions and alert systems for healthcare workers who are mentally at-risk. This study aims to develop and validate machine learning-based models for predicting depression symptoms using survey data collected during the COVID-19 outbreak in China.

METHOD

Surveys were conducted of 2,574 healthcare workers in hospitals designated to care for COVID-19 patients between 20 January and 11 February 2020. The patient health questionnaire (PHQ)-9 was used to measure the depression symptoms and quantify the severity, a score of ≥5 on the PHQ-9 represented depression symptoms positive, respectively. Four machine learning approaches were trained (75% of data) and tested (25% of data). Cross-validation with 100 repetitions was applied to the training dataset for hyperparameter tuning. Finally, all models were compared to evaluate their predictive performances and screening utility: decision tree, logistics regression with least absolute shrinkage and selection operator (LASSO), random forest, and gradient-boosting tree.

RESULTS

Important risk predictors identified and ranked by the machine learning models were highly consistent: self-perceived health status factors always occupied the top five most important predictors, followed by worried about infection, working on the frontline, a very high level of uncertainty, having received any form of psychological support material and having COVID-19-like symptoms. The area under the curve [95% CI] of machine learning models were as follows: LASSO model, 0.824 [0.792-0.856]; random forest, 0.828 [0.797-0.859]; gradient-boosting tree, 0.829 [0.798-0.861]; and decision tree, 0.785 [0.752-0.819]. The calibration plot indicated that the LASSO model, random forest, and gradient-boosting tree fit the data well. Decision curve analysis showed that all models obtained net benefits for predicting depression symptoms.

CONCLUSIONS

This study shows that machine learning prediction models are suitable for making predictions about mentally at-risk healthcare workers predictions in a public health emergency setting. The application of multidimensional machine learning models could support hospitals' and healthcare workers' decision-making on possible psychological interventions and proper mental health management.

Saturation, acceleration and information pathologies: the conditions that influence the emergence of information literacy safeguarding practice in COVID-19-environments

Purpose

The purpose of this second study into information literacy practice during the COVID-19 pandemic is to identify the conditions that influence the emergence of information literacy as a safeguarding practice.

Design/methodology/approach

The qualitative research design comprised one to one in-depth interviews conducted virtually during the UK's second and third lockdown phase between November 2020 and February 2021. Data were coded and analysed by the researchers using constant comparative techniques.

Findings

Continual exposure to information creates the “noisy” conditions that lead to saturation and the potential for “information pathologies” to act as a form of resistance. Participants alter their information practices by actively avoiding and resisting formal and informal sources of information. These reactive activities have implications for standard information literacy empowerment discourses.

Research limitations/implications

The paper is limited to the UK context.

Practical implications

Findings will be useful for librarians and researchers who are interested in the theorisation of information literacy as well as public health and information professionals tasked with designing long-term health promotion strategies.

Social implications

This paper contributes to our understandings of the role that information literacy practices play within ongoing and long-term crises.

Originality/value

This paper develops research into the role of information literacy practice in times of crises and extends understanding related to the concept of empowerment, which forms a central idea within information literacy discourse.

Information Complexity and Behavior Intention to Prescribe Antibiotics Based on the Antimicrobial Susceptibility Testing Report: The Mediating Roles of Information Overload and Attitude

Background: The antimicrobial susceptibility testing (AST) report has guiding significance for physicians to prescribe antibiotics. This study aims to examine the effect of the AST report information complexity on physician’s intention to prescribe antibiotics based on the AST report, as well as the mediating role of information overload and attitude.

Methods: A cross-sectional study conducted on 411 physicians in a general hospital in China in July 2021. Data were collected by a self-reported questionnaire. A serial multiple mediation model was tested to explore the sequential causality between the information complexity of the AST report, information overload, attitude, and behavior intention to prescribe antibiotics based on the AST report by using the SPSS macro PROCESS program.

Results: Information complexity, information overload, attitude and behavior intention were significantly correlated (p < 0.01). Information complexity can not only have a direct positive impact on the intention to prescribe antibiotics based on the AST report (effect = 0.173; SE = 0.044; Boot95%CI: LL = 0.089, UL = 0.260), but also have an indirect impact on behavior intention through the independent mediating role of information overload (effect = 0.025; SE = 0.011; Boot 95%CI: LL = 0.008, UL = 0.050) and the independent mediating role of attitude (effect = 0.130; SE = 0.025; Boot 95%CI: LL = 0.086, UL = 0.180), while the chain of information overload and attitude played a masking effect between information complexity and behavior intention (effect = −0.013; SE = 0.004; Boot 95%CI: LL = −0.023, UL = −0.005).

Conclusion: The increase in information complexity can encourage physicians to prescribe antibiotics based on the AST report, information overload and attitude can promote this effect. It is necessary to provide physicians with sufficient information to prescribe antibiotics without increasing the burden on them. At the same time, publicity and standardized training should be conducted for physicians to interpret the AST report better and faster.

Efficacy of lopinavir-ritonavir combination therapy for the treatment of hospitalized COVID-19 patients: a meta-analysis

Aim: To evaluate the efficacy and safety of lopinavir-ritonavir (LPV/r) therapy in treating hospitalized COVID-19 patients. Materials & methods: Data from randomized and observational studies were included in meta-analyses. Primary outcomes were length of stay, time for SARS-CoV-2 test conversion, mortality, incidence of mechanical ventilation, time to body temperature normalization and incidence of adverse events. Results: Twenty-four studies (n = 10,718) were included. LPV/r demonstrated no significant benefit over the control groups in all efficacy outcomes. The use of LPV/r was associated with a significant increase in the odds of adverse events. Conclusion: Given the lack of efficacy and increased incidence of adverse events, the clinical use of LPV/r in hospitalized COVID-19 patients is not recommended.

Factors associated with acceptance of COVID-19 vaccine among University health sciences students in Northwest Nigeria

Students of the health sciences are the future frontliners to fight pandemics. The students' participation in COVID-19 response varies across countries and are mostly for educational purposes. Understanding the determinants of COVID-19 vaccine acceptability is necessary for a successful vaccination program. This study aimed to investigate the factors associated with COVID-19 vaccine acceptance among health sciences students in Northwest Nigeria. The study was an online self-administered cross-sectional study involving a survey among students of health sciences in some selected universities in Northwest Nigeria. The survey collected pertinent data from the students, including socio-demographic characteristics, risk perception for COVID-19, and willingness to accept the COVID-19 vaccine. Multiple logistic regression was used to determine the predictors of COVID-19 vaccine acceptance. A total of 440 responses with a median (interquartile range) age of 23 (4.0) years were included in the study. The prevalence of COVID-19 vaccine acceptance was 40.0%. Factors that independently predict acceptance of the vaccine were age of 25 years and above (adjusted odds ratio, aOR, 2.72; 95% confidence interval, CI, 1.44-5.16; p = 0.002), instructions from heads of institutions (aOR, 11.71; 95% CI, 5.91-23.20; p<0.001), trust in the government (aOR, 20.52; 95% CI, 8.18-51.51; p<0.001) and willingness to pay for the vaccine (aOR, 7.92; 95% CI, 2.63-23.85; p<0.001). The prevalence of COVID-19 vaccine acceptance among students of health sciences was low. Older age, mandate by heads of the institution, trust in the government and readiness to pay for the vaccine were associated with acceptance of the vaccine. Therefore, stakeholders should prioritize strategies that would maximize the vaccination uptake.

"You Are Not Alone"-Opportunities and Challenges for University Students' Collaborative Engagement When Dealing With Online Information About COVID-19

In view of the COVID-19 pandemic, students had to cope with the challenging situation of handling a vast amount of potentially conflicting online information while staying informed. Reading conflicting scientific information has been shown to require cognitive effort for one to integrate it successfully, but reading such information during a crisis-such as the COVID-19 pandemic-may cause additional emotional stress, as students also had to cope with critical aspects of the pandemic (e.g., physical distancing and uncertainty). Different studies have indicated that in crises, stress can be relieved by seeking online social support (as a coping strategy). Similarly, working together (as collaborative learning) can also help people more critically discuss information on a cognitive level. Based on the approaches of online collaborative learning and online social support seeking, we were interested in whether an individual vs. collaborative communication setting would lead to any differences in students' cognitive as well as emotional engagement with conflicting information about COVID-19. In a 2 × 2 mixed design, N = 109 education science students were exposed to two conflicting texts regarding COVID-19 testing that contained current scientific information. The online experiment was conducted in Germany in April 2020, which was the beginning of lockdown in that country. After reading the two texts, participants were asked to reflect on their engagement with the conflicting information either individually (individual group, n = 49) or via chat collaboratively (collaboration group, n = 60 in 30 dyads). With respect to participants' written reflections (content-analyzed regarding cognitive as well as emotional engagement), participants in the collaborative group, compared to those in the individual group, more often discussed the pandemic in general and less often engaged emotionally when discussing the evidence from texts. All participants reported higher perceived information overload, lower self-efficacy in sourcing information about COVID-19, and higher active coping strategies after the reflection task compared to before reading the information, with no significant differences between the collaborative and individual groups. We discuss these findings regarding any opportunities and challenges that arise in online collaboration between students for cognitive and emotional engagement when handling conflicting information about COVID-19.