The COVID-19 Misinfodemic: Moving Beyond Fact-Checking.

Online misinformation regarding COVID-19 has undermined public health efforts to control the novel coronavirus. To date, public health organizations' efforts to counter COVID-19 misinformation have focused on identifying and correcting false information on social media platforms. Citing extant literature in health communication and psychology, we argue that these fact-checking efforts are a necessary, but insufficient, response to health misinformation. First, research suggests that fact-checking has several important limitations and is rarely successful in fully undoing the effects of misinformation exposure. Second, there are many factors driving misinformation sharing and acceptance in the context of the COVID-19 pandemic-such as emotions, distrust, cognitive biases, racism, and xenophobia-and these factors both make individuals more vulnerable to certain types of misinformation and also make them impervious to future correction attempts. We conclude by outlining several additional measures, beyond fact-checking, that may help further mitigate the effects of misinformation in the current pandemic.

Drawing lessons from the COVID-19 pandemic: science and epistemic humility should go together.

During the COVID-19 pandemic, scientific experts advised governments for measures to be promptly taken; they also helped people to understand the situation. They carried out this role in the face of a worldwide emergency, when scientific understanding was still underway. Public scientific disputes also arose, creating confusion among people. This article highlights the importance of experts' epistemic stance under these circumstances. It suggests they should embrace the intellectual virtue of epistemic humility, regulating their epistemic behavior and communication accordingly. In so doing, they would also favour the functioning of the broad network of knowledge-based experts, which is required to properly address all the aspects of the global pandemic.

COVID-19 vaccination and the power of rumors: Why we must "Tune in".

Rumors have significantly affected immunization campaigns in the past. The ongoing COVID-19 vaccination program in India needs to frame public communication messages both to promote vaccine demand and update as well as counter COVID-related rumors. COVID-related rumors have had wide-ranging effects in the country, from stigmatization of health workers to a crash of prices in the poultry sector. Appropriate communication strategies are critical for tracking, negotiating, and shaping perceptions around the vaccines and the program. Issues that will shape perceptions around the vaccines include product development, prioritization strategies, program rollout activities, and adverse effects following immunization and adverse effects of special interest.

Hesitancy Toward a COVID-19 Vaccine.

The scientific community has come together in a mass mobilization to combat the public health risks of COVID-19, including efforts to develop a vaccine. However, the success of any vaccine depends on the share of the population that gets vaccinated. We designed a survey experiment in which a nationally representative sample of 3,133 adults in the USA stated their intentions to vaccinate themselves and their children for COVID-19. The factors that we varied across treatments were: the stated severity and infectiousness of COVID-19 and the stated source of the risk information (White House or the Centers for Disease Control). We find that 20% of people in the USA intend to decline the vaccine. We find no statistically significant effect on vaccine intentions from the severity of COVID-19. In contrast, we find that the degree of infectiousness of the coronavirus influences vaccine intentions and that inconsistent risk messages from public health experts and elected officials may reduce vaccine uptake. However, the most important determinants of COVID-19 vaccine hesitancy seem to be distrust of the vaccine safety (including uncertainty due to vaccine novelty), as well as general vaccine avoidance, as implied by not having had a flu shot in the last two years.

Emergence of Coronavirus (COVID-19) Outbreak: Anthropological and Social Science Perspectives.

With the ongoing coronavirus (severe acute respiratory syndrome coronavirus-2, SARS-CoV-2), the entire community of health professionals is working to control disease and investing crores in vaccine development. The present discussion is to bring the focus on various social issues that emerge during outbreak and calls for equal attention as that of other health-care interventions. These issues are summarized in three categories: first, stigmatization due to lack of knowledge about the source of infection; second, speculations and their consequences around lack of knowledge about transmission; and finally, the concern regarding miscommunication during such a crisis. Most of these concerns emerge from press and social media coverage of the episode. The Ebola outbreak response is an example of how social scientists and anthropologists can work with other experts to solve questions of public health importance. Their approach toward the community with the objective to understand the sources, reasons, and circumstances of the infection will help to manage the current outbreak. In this context, we suggest collaboration of diverse scientific community to control and sensitize the people to tackle the misinformation in the affected and non-affected community during the outbreaks.

Anti-intellectualism and the mass public's response to the COVID-19 pandemic.

Anti-intellectualism (the generalized distrust of experts and intellectuals) is an important concept in explaining the public's engagement with advice from scientists and experts. We ask whether it has shaped the mass public's response to coronavirus disease 2019 (COVID-19). We provide evidence of a consistent connection between anti-intellectualism and COVID-19 risk perceptions, social distancing, mask usage, misperceptions and information acquisition using a representative survey of 27,615 Canadians conducted from March to July 2020. We exploit a panel component of our design (N = 4,910) to strongly link anti-intellectualism and within-respondent change in mask usage. Finally, we provide experimental evidence of anti-intellectualism's importance in information search behaviour with two conjoint studies (N ~ 2,500) that show that preferences for COVID-19 news and COVID-19 information from experts dissipate among respondents with higher levels of anti-intellectual sentiment. Anti-intellectualism poses a fundamental challenge in maintaining and increasing public compliance with expert-guided COVID-19 health directives.

Experience, experts, statistics, or just science? Predictors and consequences of reliance on different evidence types during the COVID-19 infodemic.

As an unprecedented global disease outbreak, the COVID-19 pandemic is also accompanied by an infodemic. To better cope with the pandemic, laypeople need to process information in ways that help guide informed judgments and decisions. Such information processing likely involves the reliance on various evidence types. Extending the Risk Information Seeking and Processing model via a two-wave survey (N = 1284), we examined the predictors and consequences of US-dwelling Chinese's reliance on four evidence types (i.e. scientific, statistical, experiential, and expert) regarding COVID-19 information. Overall, Risk Information Seeking and Processing variables such as information insufficiency and perceived information gathering capacity predicted the use of all four evidence types. However, other Risk Information Seeking and Processing variables (e.g. informational subjective norms) did not emerge as important predictors. In addition, different evidence types had different associations with subsequent disease prevention behaviors and satisfaction with the US government's action to address the pandemic. Finally, discrete emotions varied in their influences on the use of evidence types, behaviors, and satisfaction. The findings provide potentially valuable contributions to science and health communication theory and practice.

Disrupting the COVID-19 Misinfodemic With Network Interventions: Network Solutions for Network Problems.

Amid the COVID-19 global pandemic, a highly troublesome influx of viral misinformation threatens to exacerbate the crisis through its deleterious effects on public health outcomes and health behavior decisions.This "misinfodemic" has ignited a surge of ongoing research aimed at characterizing its content, identifying its sources, and documenting its effects. Noticeably absent as of yet is a cogent strategy to disrupt misinformation.We start with the premise that the diffusion and persistence of COVID-19 misinformation are networked phenomena that require network interventions. To this end, we propose five classes of social network intervention to provide a roadmap of opportunities for disrupting misinformation dynamics during a global health crisis. Collectively, these strategies identify five distinct yet interdependent features of information environments that present viable opportunities for interventions.

Factors Affecting Public Adoption of COVID-19 Prevention and Treatment Information During an Infodemic: Cross-sectional Survey Study.

BACKGROUND: With the spread of COVID-19, an infodemic is also emerging. In public health emergencies, the use of information to enable disease prevention and treatment is incredibly important. Although both the information adoption model (IAM) and health belief model (HBM) have their own merits, they only focus on information or public influence factors, respectively, to explain the public's intention to adopt online prevention and treatment information. OBJECTIVE: The aim of this study was to fill this gap by using a combination of the IAM and the HBM as the framework for exploring the influencing factors and paths in public health events that affect the public's adoption of online health information and health behaviors, focusing on both objective and subjective factors. METHODS: We carried out an online survey to collect responses from participants in China (N=501). Structural equation modeling was used to evaluate items, and confirmatory factor analysis was used to calculate construct reliability and validity. The goodness of fit of the model and mediation effects were analyzed. RESULTS: The overall fitness indices for the model developed in this study indicated an acceptable fit. Adoption intention was predicted by information characteristics (ß=.266, P<.001) and perceived usefulness (ß=.565, P<.001), which jointly explained nearly 67% of the adoption intention variance. Information characteristics (ß=.244, P<.001), perceived drawbacks (ß=-.097, P=.002), perceived benefits (ß=.512, P<.001), and self-efficacy (ß=.141, P<.001) jointly determined perceived usefulness and explained about 81% of the variance of perceived usefulness. However, social influence did not have a statistically significant impact on perceived usefulness, and self-efficacy did not significantly influence adoption intention directly. CONCLUSIONS: By integrating IAM and HBM, this study provided the insight and understanding that perceived usefulness and adoption intention of online health information could be influenced by information characteristics, people's perceptions of information drawbacks and benefits, and self-efficacy. Moreover, people also exhibited proactive behavior rather than reactive behavior to adopt information. Thus, we should consider these factors when helping the informed public obtain useful information via two approaches: one is to improve the quality of government-based and other official information, and the other is to improve the public's capacity to obtain information, in order to promote truth and fight rumors. This will, in turn, contribute to saving lives as the pandemic continues to unfold and run its course.

NewsMeSH: A new classifier designed to annotate health news with MeSH headings.

MOTIVATION: In the age of big data, the amount of scientific information available online dwarfs the ability of current tools to support researchers in locating and securing access to the necessary materials. Well-structured open data and the smart systems that make the appropriate use of it are invaluable and can help health researchers and professionals to find the appropriate information by, e.g., configuring the monitoring of information or refining a specific query on a disease. METHODS: We present an automated text classifier approach based on the MEDLINE/MeSH thesaurus, trained on the manual annotation of more than 26 million expert-annotated scientific abstracts. The classifier was developed tailor-fit to the public health and health research domain experts, in the light of their specific challenges and needs. We have applied the proposed methodology on three specific health domains: the Coronavirus, Mental Health and Diabetes, considering the pertinence of the first, and the known relations with the other two health topics. RESULTS: A classifier is trained on the MEDLINE dataset that can automatically annotate text, such as scientific articles, news articles or medical reports with relevant concepts from the MeSH thesaurus. CONCLUSIONS: The proposed text classifier shows promising results in the evaluation of health-related news. The application of the developed classifier enables the exploration of news and extraction of health-related insights, based on the MeSH thesaurus, through a similar workflow as in the usage of PubMed, with which most health researchers are familiar.

Mental health consequences of COVID-19 media coverage: the need for effective crisis communication practices.

During global pandemics, such as coronavirus disease 2019 (COVID-19), crisis communication is indispensable in dispelling fears, uncertainty, and unifying individuals worldwide in a collective fight against health threats. Inadequate crisis communication can bring dire personal and economic consequences. Mounting research shows that seemingly endless newsfeeds related to COVID-19 infection and death rates could considerably increase the risk of mental health problems. Unfortunately, media reports that include infodemics regarding the influence of COVID-19 on mental health may be a source of the adverse psychological effects on individuals. Owing partially to insufficient crisis communication practices, media and news organizations across the globe have played minimal roles in battling COVID-19 infodemics. Common refrains include raging QAnon conspiracies, a false and misleading "Chinese virus" narrative, and the use of disinfectants to "cure" COVID-19. With the potential to deteriorate mental health, infodemics fueled by a kaleidoscopic range of misinformation can be dangerous. Unfortunately, there is a shortage of research on how to improve crisis communication across media and news organization channels. This paper identifies ways that legacy media reports on COVID-19 and how social media-based infodemics can result in mental health concerns. This paper discusses possible crisis communication solutions that media and news organizations can adopt to mitigate the negative influences of COVID-19 related news on mental health. Emphasizing the need for global media entities to forge a fact-based, person-centered, and collaborative response to COVID-19 reporting, this paper encourages media resources to focus on the core issue of how to slow or stop COVID-19 transmission effectively.

Interpreting SARS-CoV-2 seroprevalence, deaths, and fatality rate - Making a case for standardized reporting to improve communication.

The SARS-CoV-2 virus has spread across the world, testing each nation's ability to understand the state of the pandemic in their country and control it. As we looked into the epidemiological data to uncover the impact of the COVID-19 pandemic, we discovered that critical metadata is missing which is meant to give context to epidemiological parameters. In this review, we identify key metadata for the COVID-19 fatality rate after a thorough analysis of mathematical models, serology-informed studies and determinants of causes of death for the COVID-19 pandemic. In doing so, we find reasons to establish a set of standard-based guidelines to record and report the data from epidemiological studies. Additionally, we discuss why standardizing nomenclature is be a necessary component of these guidelines to improve communication and reproducibility. The goal of establishing these guidelines is to facilitate the interpretation of COVID-19 epidemiological findings and data by the general public, health officials, policymakers and fellow researchers. Our suggestions may not address all aspects of this issue; rather, they are meant to be the foundation for which experts can establish and encourage future guidelines throughout the appropriate communities.

COVID-19, a tale of two pandemics: novel coronavirus and fake news messaging.

The emergence of COVID-19, caused by novel Coronavirus SARS-CoV-2, became a pandemic in just 10 weeks. Without effective medications or vaccines available, authorities turned toward mitigation measures such as use of face masks, school's closings, shelter-in-place, telework and social distancing. People found refuge on the internet and social media apps; however, there was a proliferation of instant messaging containing hoaxed, deliberate misleading information: fake news messaging (FNM). The aim of this study was to assess FNM through content analysis and to discriminate them in a proposed taxonomy structure. A sample of convenience of messages, memes, tweets or cartoons in several languages was selected from the most popular social media outlets, i.e. Facebook, WhatsApp, Twitter etc. More than 300 FNM were identified. Descriptive statistics were used for highlighting potential relationships between variables. Content analysis determined that FNM could be divided into Health- and non-health-related types. There are several sub-types considering, but not limited to, religious beliefs, politics, economy, nutrition, behaviors, prevention of the infection, the origin of the disease and conspiracy theories. The parallel FNM pandemic affected the response from an already debilitated public health system through the confusion created in the community and the erosion in the credibility of genuine media. Public health practitioners had to face people's unpredictable behaviors, panic, tensions with the communities and, in some cases, a hostile climate toward frontline workers. Public health practitioners must adjust ongoing and future health promotion and education interventions including plans to neutralize fake news messages.