A Story is Better Told With Collective Interests: An Experimental Examination of Misinformation Correction During the COVID-19 Pandemic.

PURPOSE: To examine strategies that help motivate social correction behaviors to combat COVID-19-related health misinformation on social media. DESIGN: 2 (message types: narrative vs statistics) x 2 (social frames: individual vs collective) between-subjects experiment. SETTING: Qualtrics-based online experiment via Lucid. SUBJECTS: The final sample consisted of 450 participants (Mage = 45.31). MEASURES: Manipulation check, discussion and correction intentions, and need for cognition (NFC). ANALYSIS: ANCOVA and PROCESS model 3 were used to analyze the data. RESULTS: Significant interaction effects emerged between message types and social frames on discussion intention, F (1, 442) = 5.26, P = .022, and correction intention, F (1, 442) = 4.85, P = .028. Collectively framed narrative correction (Mdiscussion = 3.15, Mcorrection = 3.17) was more effective than individually framed narrative correction (Mdiscussion = 2.73, Mcorrection = 2.77). Individually framed statistical correction (Mdiscussion = 3.10, Mcorrection = 2.95) was more persuasive than collectively framed statistical correction (Mdiscussion = 2.89, Mcorrection = 2.69). The interaction effects were more evident for people low on NFC, P = .031. CONCLUSION: In motivating social correction behaviors, a story is better told with an emphasis on collective interests, and numbers are better presented with personal gains and losses. Future interventions should identify the target audience based on the level of NFC.

Red media, blue media, and misperceptions: examining a moderated serial mediation model of partisan media use and COVID-19 misperceptions.

Misinformation and misperceptions about COVID-19 have undermined democratic system. Partisan media are regarded as one of the culprits for facilitating the spread of misinformation. Grounded in the extended communication mediation model, this study analyzes a U.S. survey sample and examines the conditional indirect effects of partisan media use on COVID-19 related misperceptions. Findings show that using conservative and liberal media both have positive effects on misperceptions and message derogation. Conservative media use has a negative impact on perceived response efficacy, whereas liberal media use positively influenced it. Furthermore, the effect of liberal media use on misperceptions became negative when serially mediated by perceived response efficacy and message derogation. Lastly, discussion network heterogeneity was a significant moderator, such that the indirect effects of partisan media use on misperceptions became weaker among those with a more heterogeneous discussion network. Theoretical and practical implications are discussed. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-022-03772-x.

Clinical efficacy and long-term immunogenicity of an early triple dose regimen of SARS-CoV-2 mRNA vaccination in cancer patients.

INTRODUCTION: Three doses of SARS-CoV-2 mRNA vaccines have been recommended for cancer patients to reduce the risk of severe disease. Anti-neoplastic treatment, such as chemotherapy, may affect long-term vaccine immunogenicity. METHOD: Patients with solid or haematological cancer were recruited from 2 hospitals between July 2021 and March 2022. Humoral response was evaluated using GenScript cPASS surrogate virus neutralisation assays. Clinical outcomes were obtained from medical records and national mandatory-reporting databases. RESULTS: A total of 273 patients were recruited, with 40 having haematological malignancies and the rest solid tumours. Among the participants, 204 (74.7%) were receiving active cancer therapy, including 98 (35.9%) undergoing systemic chemotherapy and the rest targeted therapy or immunotherapy. All patients were seronegative at baseline. Seroconversion rates after receiving 1, 2 and 3 doses of SARS-CoV-2 mRNA vaccination were 35.2%, 79.4% and 92.4%, respectively. After 3 doses, patients on active treatment for haematological malignancies had lower antibodies (57.3%±46.2) when compared to patients on immunotherapy (94.1%±9.56, P<0.05) and chemotherapy (92.8%±18.1, P<0.05). SARS-CoV-2 infection was reported in 77 (28.2%) patients, of which 18 were severe. No patient receiving a third dose within 90 days of the second dose experienced severe infection. CONCLUSION: This study demonstrates the benefit of early administration of the third dose among cancer patients.

What do 5G networks, Bill Gates, Agenda 21, and QAnon have in common? Sources, distribution, and characteristics

Mounting uncertainties regarding the coronavirus disease (COVID-19) pandemic and the popularity of social media created fertile grounds for conspiracy theories to flourish, leading to a global "infodemic." We examine information sources used to support five popular COVID-19-related conspiracy theories on Twitter to identify (1) their primary building blocks, (2) similarities and dissimilarities across COVID-19 conspiracy theories, and (3) the relationship between type of message content and content distribution. Findings show that statements of belief and of malicious purpose were most popular, followed by conspirators, authentication, and secretive actions. However, only malicious purposes and secretive actions messages successfully predicted higher distribution of content, while, for instance, content authentication showed a negative relation. Furthermore, the type of conspiracy theories matters. Mega-theories, such as Agenda 21 and QAnon, incorporated less statements of Belief. COVID-19 vaccine-related theories focused more on authentication, while QAnon highlighted the conspirators behind the pandemic. Conceptual and practical implications are discussed.

Discovering common pathogenetic processes between COVID-19 and sepsis by bioinformatics and system biology approach.

Corona Virus Disease 2019 (COVID-19), an acute respiratory infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has spread rapidly worldwide, resulting in a pandemic with a high mortality rate. In clinical practice, we have noted that many critically ill or critically ill patients with COVID-19 present with typical sepsis-related clinical manifestations, including multiple organ dysfunction syndrome, coagulopathy, and septic shock. In addition, it has been demonstrated that severe COVID-19 has some pathological similarities with sepsis, such as cytokine storm, hypercoagulable state after blood balance is disrupted and neutrophil dysfunction. Considering the parallels between COVID-19 and non-SARS-CoV-2 induced sepsis (hereafter referred to as sepsis), the aim of this study was to analyze the underlying molecular mechanisms between these two diseases by bioinformatics and a systems biology approach, providing new insights into the pathogenesis of COVID-19 and the development of new treatments. Specifically, the gene expression profiles of COVID-19 and sepsis patients were obtained from the Gene Expression Omnibus (GEO) database and compared to extract common differentially expressed genes (DEGs). Subsequently, common DEGs were used to investigate the genetic links between COVID-19 and sepsis. Based on enrichment analysis of common DEGs, many pathways closely related to inflammatory response were observed, such as Cytokine-cytokine receptor interaction pathway and NF-kappa B signaling pathway. In addition, protein-protein interaction networks and gene regulatory networks of common DEGs were constructed, and the analysis results showed that ITGAM may be a potential key biomarker base on regulatory analysis. Furthermore, a disease diagnostic model and risk prediction nomogram for COVID-19 were constructed using machine learning methods. Finally, potential therapeutic agents, including progesterone and emetine, were screened through drug-protein interaction networks and molecular docking simulations. We hope to provide new strategies for future research and treatment related to COVID-19 by elucidating the pathogenesis and genetic mechanisms between COVID-19 and sepsis.

Red media, blue media, and misperceptions: examining a moderated serial mediation model of partisan media use and COVID-19 misperceptions

Misinformation and misperceptions about COVID-19 have undermined democratic system. Partisan media are regarded as one of the culprits for facilitating the spread of misinformation. Grounded in the extended communication mediation model, this study analyzes a U.S. survey sample and examines the conditional indirect effects of partisan media use on COVID-19 related misperceptions. Findings show that using conservative and liberal media both have positive effects on misperceptions and message derogation. Conservative media use has a negative impact on perceived response efficacy, whereas liberal media use positively influenced it. Furthermore, the effect of liberal media use on misperceptions became negative when serially mediated by perceived response efficacy and message derogation. Lastly, discussion network heterogeneity was a significant moderator, such that the indirect effects of partisan media use on misperceptions became weaker among those with a more heterogeneous discussion network. Theoretical and practical implications are discussed. Supplementary Information The online version contains supplementary material available at 10.1007/s12144-022-03772-x.

Discovering common pathogenetic processes between COVID-19 and sepsis by bioinformatics and system biology approach

Corona Virus Disease 2019 (COVID-19), an acute respiratory infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has spread rapidly worldwide, resulting in a pandemic with a high mortality rate. In clinical practice, we have noted that many critically ill or critically ill patients with COVID-19 present with typical sepsis-related clinical manifestations, including multiple organ dysfunction syndrome, coagulopathy, and septic shock. In addition, it has been demonstrated that severe COVID-19 has some pathological similarities with sepsis, such as cytokine storm, hypercoagulable state after blood balance is disrupted and neutrophil dysfunction. Considering the parallels between COVID-19 and non-SARS-CoV-2 induced sepsis (hereafter referred to as sepsis), the aim of this study was to analyze the underlying molecular mechanisms between these two diseases by bioinformatics and a systems biology approach, providing new insights into the pathogenesis of COVID-19 and the development of new treatments. Specifically, the gene expression profiles of COVID-19 and sepsis patients were obtained from the Gene Expression Omnibus (GEO) database and compared to extract common differentially expressed genes (DEGs). Subsequently, common DEGs were used to investigate the genetic links between COVID-19 and sepsis. Based on enrichment analysis of common DEGs, many pathways closely related to inflammatory response were observed, such as Cytokine-cytokine receptor interaction pathway and NF-kappa B signaling pathway. In addition, protein-protein interaction networks and gene regulatory networks of common DEGs were constructed, and the analysis results showed that ITGAM may be a potential key biomarker base on regulatory analysis. Furthermore, a disease diagnostic model and risk prediction nomogram for COVID-19 were constructed using machine learning methods. Finally, potential therapeutic agents, including progesterone and emetine, were screened through drug-protein interaction networks and molecular docking simulations. We hope to provide new strategies for future research and treatment related to COVID-19 by elucidating the pathogenesis and genetic mechanisms between COVID-19 and sepsis.

Injecting disinfectants to kill the virus: Media literacy, information gathering sources, and the moderating role of political ideology on misperceptions about covid-19

Fake information about COVID-19 continues to circulate widely, including false causes and cures. The current study examined the (a) relationship between information gathering sources and misperceptions;(b) association between literacy variables and misperceptions;and (c) the moderating role of political ideology on these relationships. Conservative ideology, younger age, conservative media use, information gathering from social media, and information gathering from Donald Trump were positively associated with COVID-19 misperceptions. Meanwhile, information gathering from local media, CDC, and scientists was negatively related to COVID-19 misperceptions. Interaction models showed critical conditional patterns with political ideology. For example, liberals with higher media literacy for content held lower COVID-19 misperceptions, but this did not hold true for conservatives. The results revealed a need to facilitate more exposure to alternative viewpoints to counteract the echo chamber of misinformation that conservatives appear to trust regardless of self-reported media literacy. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China.

BACKGROUND: Reaching optimal vaccination rates is an essential public health strategy to control the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to simulate the optimal vaccination strategy to control the disease by developing an age-specific model based on the current transmission patterns of COVID-19 in Wuhan City, China. METHODS: We collected two indicators of COVID-19, including illness onset data and age of confirmed case in Wuhan City, from December 2, 2019, to March 16, 2020. The reported cases were divided into four age groups: group 1, ≤ 14 years old; group 2, 15 to 44 years old; group 3, 44 to 64 years old; and group 4, ≥ 65 years old. An age-specific susceptible-exposed-symptomatic-asymptomatic-recovered/removed model was developed to estimate the transmissibility and simulate the optimal vaccination strategy. The effective reproduction number (Reff) was used to estimate the transmission interaction in different age groups. RESULTS: A total of 47 722 new cases were reported in Wuhan City from December 2, 2019, to March 16, 2020. Before the travel ban of Wuhan City, the highest transmissibility was observed among age group 2 (Reff = 4.28), followed by group 2 to 3 (Reff = 2.61), and group 2 to 4 (Reff = 1.69). China should vaccinate at least 85% of the total population to interrupt transmission. The priority for controlling transmission should be to vaccinate 5% to 8% of individuals in age group 2 per day (ultimately vaccinated 90% of age group 2), followed by 10% of age group 3 per day (ultimately vaccinated 90% age group 3). However, the optimal vaccination strategy for reducing the disease severity identified individuals ≥ 65 years old as a priority group, followed by those 45-64 years old. CONCLUSIONS: Approximately 85% of the total population (nearly 1.2 billion people) should be vaccinated to build an immune barrier in China to safely consider removing border restrictions. Based on these results, we concluded that 90% of adults aged 15-64 years should first be vaccinated to prevent transmission in China.

Historical rice farming explains faster mask use during early days of China's COVID-19 outbreak.

In the early days of the coronavirus outbreak, we observed mask use in public among 1,330 people across China. People in regions with a history of farming rice wore masks more often than people in wheat regions. Cultural differences persisted after taking into account objective risk factors such as local COVID cases. The differences fit with the emerging theory that rice farming's labor and irrigation demands made societies more interdependent, with tighter social norms. Cultural differences were strongest in the ambiguous, early days of the pandemic, then shrank as masks became nearly universal (94%). Separate survey and internet search data replicated this pattern. Although strong cultural differences lasted only a few days, research suggests that acting just a few days earlier can reduce deaths substantially.

Incidental news exposure and COVID-19 misperceptions: A moderated-mediation model

On a regular day, individuals can consume news and information on purpose as well as accidently. Incidental news exposure (INE) can be critical for an informed citizenry, but individuals can also encounter misinformation and disinformation accidently. Misinformation surrounding the COVID-19 pandemic has made headlines, and such fake information continues to circulate on social media. We examine the link between INE and misperceptions, as well as investigate the role of a literacy-related variable, self-perceived media literacy (SPML), which may mitigate the impact of INE on misperceptions. To that end, we use survey data to examine 1) the relationship between INE with general misperceptions and COVID-19 misperceptions, 2) the mediating role of general misperceptions between INE and COVID-19 misperceptions, and 3) the moderating role of SPML in this relationship. Our results demonstrated a significant moderated mediation model, in which the association between INE and COVID-19 misperceptions was mediated through general misperceptions, and this relationship was further moderated by SPML. Specifically, among those with higher levels of SPML, the indirect effect of INE on COVID-19 misperceptions was lower compared to those with lower levels of SPML. Our findings have critical implications for INE as well as misinformation research.

Micronucleus production, activation of DNA damage response and cGAS-STING signaling in syncytia induced by SARS-CoV-2 infection.

SARS-CoV-2 infection could cause severe acute respiratory syndrome, largely attributed to dysregulated immune activation and extensive lung tissue damage. However, the underlying mechanisms are not fully understood. Here, we reported that viral infection could induce syncytia formation within cells expressing ACE2 and the SARS-CoV-2 spike protein, leading to the production of micronuclei with an average rate of about 4 per syncytium (> 93%). Remarkably, these micronuclei were manifested with a high level of activation of both DNA damage response and cGAS-STING signaling, as indicated by micronucleus translocation of γH2Ax and cGAS, and upregulation of their respective downstream target genes. Since activation of these signaling pathways were known to be associated with cellular catastrophe and aberrant immune activation, these findings help explain the pathological effects of SARS-CoV-2 infection at cellular and molecular levels, and provide novel potential targets for COVID-19 therapy.

Comprehensive mapping of SARS-CoV-2 interactions in vivo reveals functional virus-host interactions.

SARS-CoV-2 is a major threat to global health. Here, we investigate the RNA structure and RNA-RNA interactions of wildtype (WT) and a mutant (Δ382) SARS-CoV-2 in cells using Illumina and Nanopore platforms. We identify twelve potentially functional structural elements within the SARS-CoV-2 genome, observe that subgenomic RNAs can form different structures, and that WT and Δ382 virus genomes fold differently. Proximity ligation sequencing identify hundreds of RNA-RNA interactions within the virus genome and between the virus and host RNAs. SARS-CoV-2 genome binds strongly to mitochondrial and small nucleolar RNAs and is extensively 2'-O-methylated. 2'-O-methylation sites are enriched in viral untranslated regions, associated with increased virus pair-wise interactions, and are decreased in host mRNAs upon virus infection, suggesting that the virus sequesters methylation machinery from host RNAs towards its genome. These studies deepen our understanding of the molecular and cellular basis of SARS-CoV-2 pathogenicity and provide a platform for targeted therapy.

SARS-CoV-2 spike protein dictates syncytium-mediated lymphocyte elimination.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus is highly contagious and causes lymphocytopenia, but the underlying mechanisms are poorly understood. We demonstrate here that heterotypic cell-in-cell structures with lymphocytes inside multinucleate syncytia are prevalent in the lung tissues of coronavirus disease 2019 (COVID-19) patients. These unique cellular structures are a direct result of SARS-CoV-2 infection, as the expression of the SARS-CoV-2 spike glycoprotein is sufficient to induce a rapid (~45.1 nm/s) membrane fusion to produce syncytium, which could readily internalize multiple lines of lymphocytes to form typical cell-in-cell structures, remarkably leading to the death of internalized cells. This membrane fusion is dictated by a bi-arginine motif within the polybasic S1/S2 cleavage site, which is frequently present in the surface glycoprotein of most highly contagious viruses. Moreover, candidate anti-viral drugs could efficiently inhibit spike glycoprotein processing, membrane fusion, and cell-in-cell formation. Together, we delineate a molecular and cellular rationale for SARS-CoV-2 pathogenesis and identify novel targets for COVID-19 therapy.

Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study.

BACKGROUND: Novel coronavirus disease 2019 (COVID-19) causes an immense disease burden. Although public health countermeasures effectively controlled the epidemic in China, non-pharmaceutical interventions can neither be maintained indefinitely nor conveniently implemented globally. Vaccination is mainly used to prevent COVID-19, and most current antiviral treatment evaluations focus on clinical efficacy. Therefore, we conducted population-based simulations to assess antiviral treatment effectiveness among different age groups based on its clinical efficacy. METHODS: We collected COVID-19 data of Wuhan City from published literature and established a database (from 2 December 2019 to 16 March 2020). We developed an age-specific model to evaluate the effectiveness of antiviral treatment in patients with COVID-19. Efficacy was divided into three types: (1) viral activity reduction, reflected as transmission rate decrease [reduction was set as v (0-0.8) to simulate hypothetical antiviral treatments]; (2) reduction in the duration time from symptom onset to patient recovery/removal, reflected as a 1/γ decrease (reduction was set as 1-3 days to simulate hypothetical or real-life antiviral treatments, and the time of asymptomatic was reduced by the same proportion); (3) fatality rate reduction in severely ill patients (fc) [reduction (z) was set as 0.3 to simulate real-life antiviral treatments]. The population was divided into four age groups (groups 1, 2, 3 and 4), which included those aged ≤ 14; 15-44; 45-64; and ≥ 65 years, respectively. Evaluation indices were based on outbreak duration, cumulative number of cases, total attack rate (TAR), peak date, number of peak cases, and case fatality rate (f). RESULTS: Comparing the simulation results of combination and single medication therapy s, all four age groups showed better results with combination medication. When 1/γ = 2 and v = 0.4, age group 2 had the highest TAR reduction rate (98.48%, 56.01-0.85%). When 1/γ = 2, z = 0.3, and v = 0.1, age group 1 had the highest reduction rate of f (83.08%, 0.71-0.12%). CONCLUSIONS: Antiviral treatments are more effective in COVID-19 transmission control than in mortality reduction. Overall, antiviral treatments were more effective in younger age groups, while older age groups showed higher COVID-19 prevalence and mortality. Therefore, physicians should pay more attention to prevention of viral spread and patients deaths when providing antiviral treatments to patients of older age groups.

Discussion on the clinical value of combined detection of SARS-CoV-2 nucleic acid, antigen and antibody

Novel coronavirus (SARS-CoV-2) nucleic acid detection is the gold standard, and antigen-antibody detection is an important auxiliary method for nucleic acid detection. Nucleic acid and antigen detection is direct evidence of early infection in patients, but it cannot indicate whether the patient has been infected before. Antibody testing is indirect evidence of patient infection. Positive IgM indicates acute infection, and positive IgG indicates mid-to-late disease or previous infection. At the same time, antibody testing can be used as an important indicator for evaluating the clinical effects of vaccines and antibody therapeutics. Although antigen detection can be used as direct evidence for early diagnosis, it is not highly sensitive and has not yet been recognized. Therefore, the combined detection of nucleic acid, antigen and antibody can improve the sensitivity and specificity of clinical detection, and provide an important basis for resumption of work and production.

The dangers of blind trust: Examining the interplay among social media news use, misinformation identification, and news trust on conspiracy beliefs.

Since the beginning of the COVID-19 pandemic, misinformation has been circulating on social media and multiple conspiracy theories have since become quite popular. We conducted a U.S. national survey for three main purposes. First, we aim to examine the association between social media news consumption and conspiracy beliefs specific to COVID-19 and general conspiracy beliefs. Second, we investigate the influence of an important moderator, social media news trust, that has been overlooked in prior studies. Third, we further propose a moderated moderation model by including misinformation identification. Our findings show that social media news use was associated with higher conspiracy beliefs, and trust in social media news was found to be a significant moderator of the relationship between social media news use and conspiracy beliefs. Moreover, our findings show that misinformation identification moderated the relationship between social media news use and trust. Implications are discussed.

Experiences of healthcare providers during the coronavirus pandemic and its impact on them: protocol for a mixed-methods systematic review.

INTRODUCTION: Frontline healthcare providers are redeployed to areas outside their clinical expertise and assigned high-loading workload to address the surge of patients with each coronavirus outbreak. Their importance in crisis is not in doubt. However, they experienced considerable physical distress and psychological stressors, even leading to psychological illness and infection in this environment. There is an urgent need to accurately, comprehensively and objectively understand their experiences, perceptions and current situation of burnout, post-traumatic stress disorder (PTSD), anxiety, depression, insomnia and coronavirus infection. Therefore, this protocol is to conduct a mixed-methods systematic review to summarise the evidence on the experiences of healthcare providers and impacts of the coronavirus on their psychological status and infection during the pandemics. METHODS: Published studies on experience, perspective, impact, burnout, PTSD, anxiety, depression, insomnia, and infection of healthcare providers with SARS, Middle East respiratory syndrome and COVID-19, and written in English and Chinese will be accepted. Databases (MEDLINE, EMBASE, CENTRAL, Web of Science, PubMed, Psychology Information, WanFang and SinoMed) from inception until 30 July 2020 will be searched. Two reviewers will select, screen, extract data and assess the risk of bias independently. Risk of bias of results will be using the Mixed-Methods Appraisal Tool. Using a convergent integrated approach on qualitative/quantitative studies, we will synthesise qualitative and quantitative data separately. The incidence and number of cases about burnout, PTSD, anxiety, depression, insomnia and coronavirus infection among medical staff will be extracted. Then we will transform quantitative data to synthesise narrative findings. This protocol will be reported per the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. ETHICS AND DISSEMINATION: Ethical assessment is not required due to the nature of the proposed systematic review. Findings of our research will be disseminated at conferences related to this field and through publication in peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42020198506.

Who endorses conspiracy theories? A moderated mediation model of Chinese and international social media use, media skepticism, need for cognition, and COVID-19 conspiracy theory endorsement in China.

During the COVID-19 pandemic, various conspiracy theories have been circulating through social media platforms. Scholars have raised concerns about the negative ramifications of conspiracy theories, such as the deterrence of preventive measures. Against this backdrop, the current study analyzed an online survey (N = 731) from China and examined the conditional indirect effects of Chinese and international social media use on conspiracy theory endorsement (CTE) regarding COVID-19. Findings showed that Chinese social media use was not associated with CTE, while international social media use was negatively associated with CTE. Moreover, the significant association was mediated by media skepticism. Further, individuals' level of need for cognition (NFC) was found to moderate the indirect effect. That is, among people with higher levels of NFC, the negative indirect effect of international social media use on CTE became stronger. Theoretical and practical implications were discussed.