Spread Of Coronavirus Disease Research Articles

A Novel Cell- and Virus-Free SARS-CoV-2 Neutralizing Antibody ELISA Based on Site-Specific Labeling Technology.

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to the global spread of coronavirus disease 2019 (COVID-19), creating an urgent need for updated methods to evaluate immune responses to vaccines and therapeutic strategies. In this study, we introduce a novel cell-free, virus-free SARS-CoV-2 neutralizing antibody ELISA (NAb-ELISA), which is based on competitive inhibition of the receptor binding domain (RBD) of spike protein binding to the angiotensin-converting enzyme 2 (ACE2) receptor. In this method, site-specific biotinylated hACE2-Fc-Avi recombinant protein is immobilized onto a 96-well plate for capture, and the RBD-Fc-vHRP recombinant proteins serve as detection probes. Evaluation of sera from wild type (WT) or Delta RBD-immunized mice using the NAb-ELISA and pseudovirus neutralization tests (pVNTs) demonstrated strong correlations between assays (R2 = 0.91 and 0.90 for the WT and Delta groups, respectively). Additionally, the NAb-ELISA successfully detected cross-neutralizing activity in sera, though with slightly lower correlation to pVNT (R2 = 0.70-0.83). By employing NAb-ELISA instead of an indirect ELISA for hybridoma screening, five monoclonal antibodies (mAbs) with neutralizing activities against WT, Delta, and BA.2 pseudoviruses were obtained. This assay offers a straightforward, rapid, and safe approach to characterizing vaccine-induced antibody responses and mAb neutralization activity. Notably, the NAb-ELISA platform can be quickly adapted to assess neutralizing antibody responses against emerging mutant strains, addressing the rapid mutation of the virus.

Towards Resilient Communities: Evaluating the Nonlinear Impact of the Built Environment on COVID-19 Transmission Risk in Residential Areas

Reflections on urban epidemics often drive improvements in the resilience of the built environment. However, the assessment regarding the nonlinear influence of the community environment on the spread of Corona Virus Disease 2019 (COVID-19) is inadequate. This study analyzed the influential mechanism of built environment factors on the epidemic risk in residential areas, using Shanghai as a case study. During the lockdown in April 2022, Shanghai reported daily data on COVID-19 outbreaks in residential areas, amounting to a total of 90,323 entries. Based on a GIS-based grid analysis approach, we employed a Random Forest (RF) model and a Multiscale Geographically Weighted Regression (MGWR) model to investigate the marginal effects and spatial heterogeneity of environmental factors on the mean count of COVID-19 outbreak days (MC) in residential areas within each grid zone. The results show that the value of MC forms a ring-mountain distribution surrounding the city's outer ring road. The RF model (R² = 0.57) demonstrates that the house price, population density, family number, and the standard deviation of building height (BH_SD) significantly correlated with MC, with the relative importance of 25%, 13%, 11%, and 6%, respectively. The MGWR model (R² = 0.63) highlights the spatial heterogeneity of family number, house age, house price, property fee, and delivery density. We also found that property fee and green rate were negatively correlated with the MC. These findings help improve responses to public health emergencies and create more resilient communities to cope with pandemics.

Impact of universal masking in reducing the risk of nosocomial respiratory viruses among people with cancer.

Universal masking within healthcare settings was adopted to combat the spread of coronavirus disease 2019 (COVID-19). In addition to mitigating the risk for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, it also had an added benefit of preventing the nosocomial transmission of other respiratory viral diseases. This study examines the impact of the masking intervention on nosocomial respiratory viral infections (RVI) in vulnerable sub-populations of people with cancer at a tertiary care hospital. Interrupted time series analysis. We reviewed non-SARS-CoV-2 nosocomial RVI between January 1, 2017 and December 31, 2023 and compared its quarterly trends before (January 2017 to March 2020) and after (April 2020 to December 2023) the universal masking intervention was implemented. Prior to the masking policy, there was no significant change in the quarterly rate of non-SARS-CoV-2 nosocomial RVI (baseline trend: P = 0.662). Crude infection rates decreased from 5.6% preintervention to 4.3% after the masking policy was implemented (P < 0.001). Quarterly trends continued to steadily decline post-intervention (β = -0.10, SE = 0.04, P < 0.007). Our results suggest that universal face masking is associated with reduced non-SARS-CoV-2 nosocomial RVI, providing further evidence to support the continued use of face masks in healthcare settings to protect the health of immunocompromised patients.

Relationship between changes in lifestyle and sleep duration due to the spread of coronavirus disease (COVID-19) in older adults: A cross-sectional study

Objectives In response to the spread of COVID-19, a state of emergency was declared on April 7, 2020. People were asked to stay at home unless necessary, and studies conducted in Japan and other countries have investigated the impact of these restrictions on the lives and health of older adults. While some studies have focused on sleep, a crucial aspect of the health of older adults, little is known about the relationship between sleep and various lifestyle changes experienced by older adults in Japan during the COVID-19 pandemic. Herein, we aimed to investigate the factors associated with changes in sleep duration among older adults before and after the spread of COVID-19.Methods A random sample of 1,808 men and women aged 65-84 years who lived in Fukushima City, Fukushima Prefecture, Japan was selected. A self-administered anonymous survey was mailed to the participants. Logistic regression analysis was used to identify the factors associated with decreased sleep duration compared to the COVID-19 pre-pandemic. Factors such as basic attributes, lifestyle changes compared with that during pre-pandemic period, stress levels, and involvement with the community were considered in the analysis.Results Of the 1,808 distributed surveys, 1,305 were returned (response rate: 72.2%). After excluding participants with missing data (n＝108), 1,197 responses were included in the final analysis (valid response rate: 66.2%). Among these, 155 participants (12.9%) reported decreased sleep duration. Decreased "social activities/connectedness" (odds ratio [OR]: 2.55, 95% confidence interval [CI]: 1.54-4.22), reduced "average duration of exercise on exercise days" (OR: 2.69, 95% CI: 1.38-5.24), and self-reported "stress in the past month" (OR: 2.41, 95% CI: 1.43-4.06) were significantly associated with decreased sleep duration.Conclusion The spread of COVID-19 was associated with decreased sleep duration among older adults. This decrease was linked to reduced social activity and participation, decreased exercise, and increased stress. To mitigate these effects, maintaining social participation and activities, scheduling regular and manageable exercise routines, and implementing effective stress management strategies while adhering to infection control practices are important.

Developing a Novel Contact Tracing Mobile Application for Coronavirus Disease 2019 (COVID-19) for Improving Testing Capacity and Controlling the Spread of COVID-19 in Nigeria

In this study, a novel contact tracing model that leverages smartphone technology to enhance efficiency, reduce costs, and extend the duration of contact tracing efforts is developed. This model utilizes smartphones as identification systems, collecting data on the proximity of other smartphone users through integrated Bluetooth and GPS technology. The study examines the frequency, duration, and proximity of interactions between smartphone devices in a clinical setting, highlighting potential implications for infectious disease transmission to pilot the mobile application developed. Contact data from six pairs of devices were analyzed, focusing on metrics such as total contacts, total contact time, average contact time, average distance, and the percentage of contacts occurring within 1.5 meters. The results showed varying levels of interaction across device pairs, with Devices 1 &amp; 3 showing the highest number of contacts (175), and Devices 3 &amp; 4 displaying the longest average contact time (20,133,193.01 seconds). Correlation analysis revealed weak and statistically insignificant relationships between total contacts and average distance (r = 0.13, p = 0.81), contact time and the percentage of close contacts (r = -0.15, p = 0.78). These findings suggest that while there are observable trends in contact patterns, the statistical insignificance highlights the need for further investigation to establish stronger associations that could inform infection control practices in healthcare settings.

Active-type piezoelectric smart textiles with antifouling performance for pathogenic control

Recently, an investigation into preventive measures for coronavirus disease 2019 (COVID-19) has garnered considerable attention. Consequently, strategies for the proactive prevention of viral pathogens have also attracted significant interest in the field of wearable devices and electronic textiles research, particularly due to their potential applications in personal protective equipment. In this study, we introduce smart textiles designed with optimized piezoelectric devices that exhibit antifouling performance against microorganisms and actively inactivate viruses. These active-type smart textiles, which incorporate advanced lead zirconate titanate (PZT) ceramics, a stretchable interconnector array, and polymeric fabric, demonstrate effective antifouling capabilities, detaching approximately 90% of Escherichia coli and 75% of SARS-CoV-2. Furthermore, they inactivate viruses, releasing ~26.8 ng of N protein from ruptured SARS-CoV-2, using ultrasonic waves within the wearable platform. Experimental results show that piezoelectric smart textiles significantly reduce the spread of COVID-19 by leveraging the electrical and acoustic properties of PZT ceramics.

COVID-19 pandemic in Saudi Arabia: an epidemiological analysis of 2020-2021.

The coronavirus disease 2019 (COVID-19) pandemic proved challenging for the healthcare systems. This study is an analysis of the epidemiological situation of COVID-19 in the Kingdom of Saudi Arabia (KSA), and the impact of the control measures on the epidemiological trends of the disease. A retrospective study was conducted on COVID-19 cases confirmed by reverse transcriptase polymerase chain reaction (RT-PCR) in KSA from March 2020 to December 2021. The numbers of confirmed, recovered, and death cases was analyzed and classified by age, gender, and nationality. Descriptive statistics and bivariate analysis for the disease trends and some of the control measures were conducted. All statistical analysis was carried out using the IBM SPSS version 26. There were 549,810 confirmed cases from March 2, 2020, to December 1, 2021. The highest number of cases was during the summer months. Men accounted for 70% of all reported cases. 65% of incidents involved people aged 20-50 years. Saudi nationals represented 63% of the total cases. There was a decline in both confirmed and fatality cases in 2021 compared to 2020 (OR = 2.1, p < 0.001; and OR = 2.53, p < 0.001 respectively). Furthermore, the precautionary measures implemented to curb the spread of COVID-19 had a positive effect in reducing disease incidences (correlation 0.75, p < 0.001). The Saudi government has had exceptional success in controlling COVID-19 by expanding screening tests, launching immunization campaigns, and training physicians.

Analysis of the impact of coronavirus infection on human health: epidemiological data, vaccination strategies, psychological aspect, consequences (literature review)

The COVID-19 (COronaVIrus Disease 2019) pandemic has caused widespread morbidity, mortality, and socioeconomic crisis around the world. Since its first outbreak in 2019, COVID-19 has evolved continuously, leading to the emergence of several variants that have gained greater transmission efficiency, severity, and immune evasion properties. Vaccination has proven to be an important strategy to control the spread of the virus and mitigate its impact. The development of multiple COVID-19 vaccines within 1 year of the virus's emergence was unprecedented. The purpose of the article was to analyze and summarize the scientific literature on the impact of COVID-19 on global health, including epidemiological data, vaccination strategies, psychological impact of the pandemic, and human health outcomes. The analysis found that COVID-19 vaccination has been very effective in reducing morbidity, hospitalizations and intensive care unit admissions. However, ongoing surveillance, monitoring of options and adaptive vaccination strategies are crucial to maximize the benefits of vaccination and effectively control the spread of the virus. Globally, the dramatic and rapid spread of COVID-19 has triggered social changes that have led to an increased burden of mental health and fear-related behaviors. The physical and social distancing imposed in many parts of the world has had a significant impact on how the general population communicates and interacts with each other. Extreme avoidance of the lack of social contact has created a sense of "disconnection" that has been further exacerbated by the inability to meet friends and family at social gatherings and supportive places such as churches, restaurants, workplaces, and sports facilities. The closure of schools and many businesses, along with rising unemployment, further exacerbated feelings of isolation, financial hardship, anxiety, and depression. The article provides information on the mental impact of COVID-19 on patients, namely, the virus contributes to mental distress, anxiety, depression, suicide risk, post-traumatic stress disorder, cognitive impairment and sleep disorders. Keywords: COVID, spread, vaccines, anxiety, depression.

The trends and outcomes of inflammatory bowel disease surgery during the COVID-19 pandemic: A retrospective propensity score-matched analysis from a multi-institutional research network.

The coronavirus disease 2019 (COVID-19) pandemic has affected the management of inflammatory bowel disease (IBD) patients. Elective operations and surveillance endoscopies were postponed for IBD patients to preserve healthcare resources and to prevent the spread of COVID-19. This study aimed to describe the trends and outcomes of IBD surgery during the pandemic. This was a retrospective propensity score-matched analysis using data extracted from TriNetX, a multi-institutional research database. IBD patients admitted for surgery were identified between March 2019 to February 2020 (prepandemic) and March 2020 to February 2023 (pandemic). The monthly volume of IBD surgical procedures was compared during the pandemic to the prepandemic period. After matching, the risk of adverse outcomes following IBD surgery was compared between the 3 years of the pandemic compared to the prepandemic cohort. There was a reduction in both elective and emergency IBD operations during the pandemic. These trends were not significant. After matching, the risks of returning to theaters and hospital readmission were comparable across the 3 years of the pandemic. In the first and second years of the pandemic, elective patients were at a greater risk of mortality (risk ratio [RR], 2; 95% confidence interval [CI], 1.160-3.448 and RR, 1.778; 95% CI, 1.003-3.150, respectively) and the emergency cohort had a higher risk of critical care admission (RR, 1.759; 95% CI, 1.126-2.747 and RR, 1.742; 95% CI, 1.131-2.682, respectively). Our study highlights the impact of the COVID-19 pandemic on the management of IBD patients undergoing surgery. These results provide insights into the management of IBD surgery during times of crisis and can help guide decision-making and resource allocation for IBD patients requiring surgical intervention.

Adequate serum 25-hydroxy-vitamin D levels are correlated with low anti-PF4 levels in mild COVID-19 Patients: An observational study.

The worldwide spread of coronavirus disease 2019 (COVID-19) has resulted in an unparalleled health emergency of global proportions. Around 31% of individuals with COVID-19 experience thrombosis associated with hypercoagulation. COVID-19 patients have shown an increase in platelet activation, but the mechanism has not been fully understood yet. One theory suggests that this could be related to the heparin-induced thrombocytopenia phenomenon, where platelet activation involves anti-PF4 antibodies that are associated with thrombosis. Vitamin D has been established to exert an influence on immunological responses and inflammation. The aim of this study is to analyze the correlation between serum 25-hydroxy-cholecalciferol [25(OH)D] levels and anti-PF4 antibodies among COVID-19 patients. A cross-sectional study was conducted among 160 COVID-19 patients at Cipto Mangunkusumo General Hospital and Wisma Atlit Hospital Jakarta from October 2021 to January 2022. The mean serum 25(OH)D level was 15.1 ng/mL. A significant negative correlation was found between serum 25(OH)D and anti-PF4 levels in mild COVID-19 patients (P = .035; R = -0.236). Remarkably, P-selectin levels were significantly higher in the moderate COVID-19 group compared to the severe group (P = .031). Serum 25(OH)D level had a significant negative correlation with anti-PF4 level in mild COVID-19 patients. Thus, it is highly recommended to ensure that serum 25(OH)D levels are maintained above 30 ng/mL. Remarkably, the P-selectin level was significantly higher in the moderate COVID-19 group compared to the severe group.

COVID-19 and diabetes research: Where are we now and what does the future hold? A bibliometric visualization analysis

Background & objectiveThe extensive spread of Coronavirus disease 2019 (COVID-19) worldwide has caused a dramatic negative impact on many individuals' health. This study aims to systematically and comprehensively analyze the current status and possible future directions of diabetes mellitus (DM) and COVID-19 research. MethodsWe obtained publications about COVID-19 and DM from the Web of Science Core Collection (WoSCC) using the search terms "COVID-19″ and similar terms combined with "DM" and similar terms, with a date range of January 2020 to May 2024. And we used CiteSpace V 6.3.R2 to perform the bibliometric visualization analysis. ResultsThe search enrolled 6266 publications. The USA is a country with the most publications; Harvard University was the most productive institution in this field. The highest-ranked journal was the PLOS ONE, and the most cited journal was Lancet. The 20 most cited journals have all been cited 28754 times, accounting for 28 % of the total cites; the range of those journals was 790–3197. Publications on COVID-19 and DM research exhibited a distinct trajectory, shifting from an initial emphasis on understanding the impact of diabetes on COVID-19 infection and its associated pathophysiological mechanisms to a focus on analyzing the differential responses of diverse patient populations. Subsequently, research has progressed to examine the effects of medications and vaccines, as well as the long-term consequences of COVID-19 in diabetic individuals. Throughout this research endeavor, the exploration of diverse therapeutic interventions, their efficacy, and ultimate outcomes have consistently remained a paramount focus. And " metabolic syndrome," " long COVID," and " gestational diabetes" are still likely to be the hotspots and frontiers of research in the future. ConclusionsThis bibliometric analysis related to DM in COVID-19 illuminates the current research situation and developmental trends, supporting researchers in the exploration of prospective directions for research.

Dual isotope analysis reveals the COVID-19 lockdown impact on nitrate aerosol sources and formation pathways in Shanghai

Nitrate (NO3−) is an important contributor to PM2.5 which can adversely affect the environment and human health. A noticeable decrease in NOx concentrations has been reported due to the lockdown measures implemented to curb the spread of Corona Virus Disease 2019 (COVID-19). However, questions remain, regarding the nonlinear relationship between NOx and NO3−. Here, we collected PM2.5 samples in two periods, before and during the lockdown of COVID-19 in Shanghai. Dual isotopes (δ18O-NO3− and δ15N-NO3−) of NO3− were measured to investigate the formation pathways and potential sources of NO3−. The results showed that the concentration of NO3− decreased significantly during the lockdown period compared to the period before the lockdown. Additionally, the hydroxyl pathway was the dominant contributor to NO3− production during the lockdown period, while N2O5 hydrolyses dominated the formation of NO3− before the lockdown. This change is largely attributable to alterations in the oxidative potential of the environment. In comparison to the period preceding the lockdown, the relative contributions of each NOx source remained largely unchanged throughout the lockdown periods. Nevertheless, the concentration of NO3− contributed by each NOx source exhibited a notable decline, particularly the mobile sources and coal combustion. Furthermore, the reduction extent of NO3− due to the lockdown period was also greater than the reduction during the Clean Air Actions (2013–2017). Our findings provide evidence that the COVID-19 lockdown led to a decrease in NO3− concentration due to changes in the formation pathway and reductions in NOx emissions from various sources.

Comorbid Diseases and Outcomes of Critically Ill COVID-19 Patients Admitted to an Indonesian Intensive Care Unit from May to October 2021

Background: Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). The spread of COVID-19 has become a worldwide health threat, with 583,038,110 cases and a death toll of 6,416,023. This study attempted to determine the relationship of age, sex, and comorbid diseases with the outcomes of critically ill COVID-19 patients at Prof. Dr. IGNG Ngoerah Central General Hospital, Denpasar, Indonesia. Methods: This analytic study employed a retrospective approach, analyzing secondary data from medical records using a purposive sampling method. The research included univariate analysis, bivariate analysis using the chi-square test, and multivariate analysis using a general linear model performed with the assistance of IBM SPSS Statistics for Windows, version 23.0 (IBM Corp., Armonk, N.Y., USA). A statistical analysis result with a p-value of less than 0.05 was deemed significant. Results: A total of 264 critically ill COVID-19 patients were hospitalized in the Intensive Care Unit of Prof. Dr. IGNG Ngoerah Central General Hospital from May to October 2021. Comorbid diseases were present in 215 patients. The comorbid diseases that had the greatest impact on increasing mortality were diabetes mellitus, hypertension, kidney disease, and cardiovascular disease (p=0.000–0.006, 95% CI). Conclusion: Age and sex do not have any significant relationship with the outcomes of critically ill COVID-19 patients. Meanwhile, comorbid diseases, such as diabetes mellitus, hypertension, and renal and cardiovascular diseases, pose a significant impact on the mortality rate of critically ill COVID-19 patients. Highlights: This study investigated patients who were critically ill with COVID-19 to determine the relationship between age, sex, comorbidities, and patient outcomes. The findings of this study may provide additional data on the impact of comorbidities on the severity of COVID-19, which can be valuable to prevent mortality due to the infection.

Fuzzy and Neutrosophic Cognitive Maps Analysis of the Emergence of COVID-19 Post-vaccination

After several years of the spread of coronavirus disease 2019 (COVID-19) around the world occurred, World Health Organization (WHO) has stimulated great efforts to develop a vaccine against the COVID-19. Therefore, all of citizen is obliged to take the vaccine for precaution. However, the vaccine is only one step to reduce the spreadness of COVID-19, where the appearance of COVID-19 can occur after vaccination. Some peoples do not understand the vaccine function where it is used to prevent spreading COVID-19. This research analysed the emergence of COVID-19 post-vaccination by using the method of fuzzy and neutrosophic cognitive maps. The collected data from an interview with two experts called as a concept and from there the directed graph and adjacency matrix are constructed. Multiplication between vectors and matrices are repeated until the fixed point in finding the hidden pattern for all the concepts for COVID-19 post-vaccination obtained. The results obtained from this study are useful to all to know the factors caused of the epidemic after vaccinated as well as the procedures to be followed to protect from this disease.

Harnessing the Core Propagation Phenomenon Ontology to Develop a Knowledge Graph for Tracking Health-Related Phenomena.

Biomedical data analysis and visualization often demand data experts for each unique health event. There is a clear lack of automatic tools for semantic visualization of the spread of health risks through biomedical data. Illnesses such as coronavirus disease (COVID-19) and Monkeypox spread rampantly around the world before governments could make decisions based on the analysis of such data. We propose the design of a knowledge graph (KG) for spatio-temporal tracking of public health event propagation. To achieve this, we propose the specialization of the Core Propagation Phenomenon Ontology (PropaPhen) into a health-related propagation phenomenon domain ontology. Data from the UMLS and OpenStreetMaps are suggested for instantiating the proposed knowledge graph. Finally, the results of a use case on COVID-19 data from the World Health Organization are analyzed to evaluate the possibilities of our approach.

An Integrative Review on Cross-Cultural Psychometric Studies of the Fear of COVID-19 Scale.

Background and Purpose: The rapid spread of coronavirus disease 2019 (COVID-19) worldwide prompted global fear and panic among all populations. The Fear of COVID-19 Scale was developed to assess the degree of fear. This review summarizes and synthesizes the revised cross-cultural validation studies of the Revised Fear of COVID-19 Scale to explore the properties of the scale and fear characteristics among different populations. Methods: A systematic literature search was conducted on the electronic databases of PubMed and Scopus. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis framework. Results: The review demonstrated that the Revised Fear of COVID-19 Scale has robust psychometric properties and fear impacts mental health across all study populations. The characteristics of the fear of COVID-19 are associated with specific variables. Conclusion: The Revised Fear of COVID-19 Scale can be used as a screening tool to assess levels of COVID-19 fear among different populations globally.

A visualized and bibliometric analysis of nursing research during the COVID-19 pandemic.

The global spread of Coronavirus disease 2019 (COVID-19) has been increasing since December 2019. A total of 8460 publications were obtained from the Web of Science Core Collection from 2019 to 2023, providing insights into the progress of nursing research throughout the COVID-19 pandemic. Bibliometric analysis was conducted on these articles using CiteSpace. The analysis focused on examining the distribution of these publications in terms of space and time, distribution of authors, subject categories, distribution of topics, and cited references. These results may be explained from 3 perspectives. Initially, the number of yearly publications on nursing research consistently increased during the COVID-19 pandemic. Furthermore, a co-occurrence analysis of the countries and the authors revealed that certain countries, including the United States, China, and England, have successfully implemented organized and standardized nursing models. These countries also have well-developed and established nursing research systems. Notably, academic communities in specific regions, such as the team led by MD Stefan Gravenstein, Mor Vincent, and White Elizabeth at Brown University in the United States, have emerged as leaders in this field. Furthermore, examining the papers' subject categories and topic distribution indicate that nursing during the COVID-19 pandemic has been predominantly interdisciplinary, encompassing various disciplines such as clinical medicine, essential medicine, psychology, public health management, and even telematics science. Our study provided valuable insights into acquiring knowledge on nursing research during the COVID-19 pandemic, pinpointed possible partners for researchers interested in nursing, and uncovered prevalent research patterns and popular subjects.

Development of highly adaptable RT-PCR methods for identifying Delta and BA.1 variants in inactivated COVID-19 vaccines.

Background The emergence and rapid spread of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), poses a significant threat to human health and public safety. While next-generation sequencing (NGS) is capable of detecting and tracking new COVID-19 variants for disease diagnosis and prevention, its high cost and time-consuming nature limit its widespread use. In this study, our aim was to develop a highly adaptable and accurate RT-PCR method for identifying the Delta or BA.1 variants in inactivated COVID-19 vaccine. We devised three two-plex RT-PCR methods targeting specific mutation sites: S: Δ156-157, S: N211-, L212I, and S: Δ142-144, Y145D. The RT-PCR method targeting the S: Δ156-157 mutation site was able to distinguish the Delta variant from other COVID-19 virus strains, while the RT-PCR methods targeting the S: N211-, L212I or S: Δ142-144, Y145D mutation sites were able to distinguish the BA.1 variant from other COVID-19 virus strains. We separately validated these three two-plex RT-PCR methods, and the results demonstrated good linearity, repeatability, reproducibility, and specificity for each method. Moreover, all three methods can be applied in the production of SARS-CoV-2 variant inactivated vaccines, enabling the identification of Delta or BA.1 variants in virus cultures as well as in inactivated vaccine stocks. This study presents a systematic approach to identify COVID-19 variants using multiple RT-PCR methods. We successfully developed three two-plex RT-PCR methods that can identify Delta and BA.1 variants based on specific mutation sites, and we completed the validation of these three methods.

Correction by distraction: how high-tempo music enhances medical experts’ debunking TikTok videos

Abstract The spread of multimodal coronavirus disease 2019 (COVID-19) misinformation on social media poses considerable public health risks. Yet limited research has addressed the efficacy of citizen-contributed, multimodal debunking messages, especially the roles of audiovisual structural features. In a between-subject online experiment, we assessed the impacts of misleading TikTok videos promoting the false claim that COVID-19 vaccines cause infertility and compared the effectiveness of debunking videos from medical experts vs. laypeople. We independently varied the presence of background music. Results showed that while misleading TikTok videos increased misperceptions, most debunking videos effectively countered such misinformation. Notably, compared with laypeople’s testimonial corrections, expert didactic videos benefited more from incorporating high-tempo background music, primarily through the suppression of counterarguing rather than through enhanced encoding. These findings underscore the importance to consider audiovisual structural features, such as background music, as well as the cognitive pathway through distracted counterarguing, in future research on multimodal misinformation and correction.

Impact of the COVID-19 Pandemic on Saudi Parents' Perceptions Toward Their Children's Oral Health: A Cross-Sectional Study.

Background The coronavirus disease 2019 (COVID-19) markedly affected all aspects of life. Pediatric dentistry and oral health of children faced a challenging situation during the pandemic. Aim This study aimedto assess the attitude of Saudi parents toward their children's oral health and dental treatment during the COVID-19 pandemic. Methods This online-based cross-sectional study was conducted using a structured questionnaire adopted from previous studies with some modifications. It was distributed among 385 Saudi parentsrecruited through social media. It included questions regarding demographic data, parents' attitudes toward their children's dental care and dental visits during the COVID-19 pandemic, their fear level and willingness to take their children to dental appointments, and the parent's perception of dental clinics with regard to the COVID-19 spread. Descriptive statistics and the chi-squaretest were used; statistical significance was set at a p-value < 0.05. Results Different levels of fear of the pandemic were expressed by Saudi parents, with 42 (10.9%) showing maximum fear while 36 (9.3%) reported no fear. Although about half of the parentsstated that their children experienced dental pain during the pandemic, only 97 (25.1%) looked for dental care and were assisted. There was a significant association (p < 0.05) between the fear level with the family income and parents' willingness to take their children to dental appointments. Conclusions COVID-19 has hada great impact on parents' attitudes towards their children's oral health. A high percentage of Saudi parents' stated that they would take their children to dental clinics during the pandemic only for urgent treatment and severe pain.