COVID-19 Outbreak Research Articles

The correlated factors of anxiety and depression among Chinese hospital staff during the COVID-19 local outbreak.

Hospital staff in the COVID-19 local outbreak were facing different situations, their mental status and influencing factors were also different. The aim of this study is to investigate the anxiety and depression of hospital staff and its potential influence factors during the COVID-19 local outbreak. This was a cross-sectional survey based on a hospital with a local outbreak of COVID-19. We collected the demographic characteristics, COVID-19-related issues, self-rating anxiety scale (SAS), and self-rating depression scale (SDS) of participants through an anonymous questionnaire. Factors associated with anxiety and depression were explored through univariate and multivariate analyses. We also constructed nomograms and calibration curves to predict the probability of anxiety and depression. A total of 800 people completed the questionnaire. 239 (29.9%) of them were doctors, 249 (31.1%) of them were nurses and 312 (39.0%) of them were others. There were 173 (21.6%) cases had anxiety, including 36 (20.8%) doctors, 76 (43.9%) nurses and 61 (35.3%) from other occupations and 281 (35.1%) cases had depression, including 64 (22.8%) doctors, 101 (35.9%) nurses, and 116 (41.3%) from other occupations. Nurses had higher SAS and SDS score than doctors and others (F = 17.856, P < .001 and F = 14.376, P < .001). In addition, multivariate analysis found that occupation, education level, health condition, and reduced sleep were significant influences on anxiety and depression. At the same time, reduced income was also significantly associated with anxiety. During the local outbreak of COVID-19, hospital staff still had varying degrees anxiety and depression. Occupation, education level, health condition and reduced sleep were both significant influencing factors for anxiety and depression. The mental state of hospital staff, including nonmedical-related staff should still be taken seriously.

Evaluation of the preventive effectiveness of russian influenza vaccines in the epidemic seasons of 2018-2021

Monitoring the effectiveness of influenza vaccines annually enables the development of measures aimed at decreasing influenza incidence, hospitalization, and mortality rates. The epidemiological effectiveness of several Russian domestic influenza vaccines was evaluated in St. Petersburg in the 2018-2021 epidemic seasons. Male and female participants (N = 6912) aged 18-23 were monitored from 2018 to 2021. Sovigripp, Grippol Plus, Ultrix, and Ultrix Quadri inactivated influenza vaccines were used for immunization. In 2018-2019, when the vaccine strains fully matched the circulating influenza viruses, prophylactic vaccination resulted in a 2.7 to 7.1-fold reduction in influenza cases. The protective effectiveness of the vaccines against influenza and acute respiratory infections (ARIs) totalled 52.4%, reaching 73.0% effectiveness against influenza after laboratory confirmation. In the epidemic season 2019-2020, when the circulating viruses and vaccine strains did not fully match, the incidence of influenza and ARIs reduced twice due to vaccination; the total vaccine effectiveness against influenza and ARIs amounted to 50.0%. The Grippol Plus, Ultrix, and Ultrix Quadri vaccines proved to be the most effective, demonstrating a total effectiveness of 70.6%-75.0% and a 65.5%-83.5% effectiveness against influenza A and B. In the 2020-2021 epidemic season, no data on the preventive effectiveness of the influenza vaccines could be obtained due to the outbreak of COVID-19 and the absence of detectable influenza virus shedding in the study participants. The results obtained are consistent with WHO experts’ estimates which indicate that modern influenza vaccines reduce the incidence of influenza in adults by 70-90% if the vaccine strains match the circulating virus strains.

Relationships Among COVID-19-Related Service Uptake, HIV Status, Drug Use, and COVID-19 Antibody Status Among HIV Testing Intervention Participants in KwaZulu-Natal, South Africa

People living with HIV (PLWH) and people who use drugs are vulnerable populations who may face barriers to accessing health services and may have irregularities in immune function. People with undiagnosed HIV infection may be particularly likely to have compromised immune function. However, research about whether/how HIV status is related to COVID-19-related health outcomes has been equivocal, and research on the predictors of COVID-19-related health service access/uptake has been limited in Sub-Saharan African settings. Among 470 participants of a peer-recruitment-based HIV-testing intervention in KwaZulu-Natal, we examined whether HIV status and/or hard drug use were associated with uptake of COVID-19 testing and vaccination, and whether they moderated the relationship between COVID-19 vaccination status and COVID-19 IgG antibody status. Women were significantly more likely than men to report testing for COVID-19 (OR = 1.84; p = 0.002) and being vaccinated (OR = 1.79; p = 0.002). Neither HIV status nor drug use was associated with likelihood of getting tested or vaccinated. Vaccinated participants (90% of whom obtained vaccines more than 6 months before the study) were significantly more likely to test positive for COVID-19 IgG antibodies (OR = 6.86; p &lt; 0.0005). This relationship held true for subgroups of PLWH and participants with previously undiagnosed/uncontrolled HIV infection, and was not moderated by HIV status or hard drug use. These findings may suggest that both people who use drugs and PLWH were served as well as other people by KwaZulu-Natal’s COVID-19 response. However, gender-based disparities in COVID-19 service uptake suggest that special care should be taken during future COVID-19 outbreaks or other new epidemics to improve access to related healthcare services among men in this region.

Effects of COVID-19 on flex route transit utilization: An interrupted time series analysis

The COVID-19 outbreak has exerted serious effects on the transportation system, especially public transport. Flex route transit (FRT), one of public transport, has shown significant advantages in transporting passengers during COVID-19 due to its high flexibility and relatively large cabin spaces. This study aims to estimate the effects of the lockdown and first lockdown ease on FRT utilization through interrupted time series analysis. A survey was conducted in Beijing to collect data regarding the daily FRT utilization of individuals, spanning from December 2019 to May 2020. Results indicated that FRT utilization was immediately reduced during the lockdown, and a decreased trend was observed. After the first lockdown ease was rolled out, FRT utilization showed a rising level and trend. Private car owners showed a lower dependence on FRT than non-car owners. The level of income exerted varying effects in a wide range of periods. FRT utilization among the higher income group was more likely to take effect than the lower income group. The study yields various policy implications for FRT operations during COVID-19 or other pandemics.

The Perspectives of Community Pharmacists Toward the Name-Based Rationing System During the COVID-19 Pandemic in Taiwan: Cross-Sectional Survey Study.

In Taiwan's public health system, community-based pharmacists are key first-line health care providers due to their high accessibility. During the COVID-19 pandemic, the pharmacists played a central role in the distribution of these supplies through the Name-Based Rationing System (NBRS), during an acute shortage of masks and testing kits, that helped reduce the spread of the disease. The NBRS, an innovative government-guided strategy developed after the COVID-19 outbreak, provided equitable and convenient access to masks and COVID-19 test kits. This study aimed to investigate (1) Taiwanese pharmacists' knowledge, attitude, and practices (KAPs) of COVID-19, with the intention to assess their preparedness for public health emergencies and their capabilities to implement COVID-19-related policies effectively; (2) their perspectives toward the NBRS; and (3) the association between individual's KAP and corresponding perspectives toward the NBRS. A cross-sectional, web-based survey was conducted in 2 major cities in Taiwan, from June 18 to September 11, 2022, during the peak of the COVID-19 pandemic. To gauge community pharmacists' KAP, a 66-question instrument was developed using guidelines from the Taiwanese Centers for Disease Control, the International Pharmaceutical Federation, and the Taiwanese Pharmacist Association. The instrument's internal consistency reliability was ascertained using Cronbach α (0.819), and its content validity was verified by field experts. Overall, 343 Taiwanese community pharmacists were recruited in the study. Among them, 88% (303/343) scored high on knowledge domain questions related to SARS-CoV-2; 58% (201/343) and 39% (136/343) held positive and neutral attitudes toward COVID-19-related policies, respectively; and 77% (266/343) practiced infectious disease prevention measures in compliance with official guidelines. The results demonstrated a high level of competency in pharmacists in a public health crisis. It revealed that factors including age, pharmacy characteristics, and the number of customers were associated with their perceptions and willingness to continuously participate in the NBRS. Overall, the community pharmacists showed greater support for the COVID-19-testing NBRS compared with the mask NBRS, because of the more favorable influence on the revenue and workforce of the pharmacies and the well-being of the pharmacists. Responses also highlighted concerns about rapid government policy changes and supply dynamics, underscoring the importance of effective communication and considering supply availability in facilitating a successful NBRS. The strong KAP of the community pharmacists justified the government leveraging their expertise in Taiwan's COVID-19 response. While community pharmacies have proven to be essential distribution centers through the NBRS, improving community connections, communication with the government, and supply management are recommended to strengthen the system. These potential approaches aim to ensure successful NBRS implementation and better preparedness for future public health emergencies. Overall, pharmacists have demonstrated their integral role in achieving equitable outcomes and their dedication to public health efforts during crises.

Exploring post-COVID-19 travel intentions of foreign tourists in Nepal: An empirical study using structural equation modeling

&lt;p&gt;Amidst the global challenges posed by the rapid transmission of a new coronavirus, the tourism sector has undergone an unprecedented downturn, similar to all economic sectors. In light of this, the present study aims to examine the travel intentions of foreign tourists in the post-COVID-19 era in the Kathmandu Valley of Nepal using Social Cognitive Theory. Structural equation modeling was used for data analysis of 350 tourists. The study revealed that the travel intention after the COVID-19 outbreak was significantly influenced by severity perception and personal positive effects, both of which were shaped by environmental changes. Results indicate that a common challenge faced by tourists was the lack of quality hotels and homestays, and the suggested managerial solution was to increase the number and enhance the quality of available accommodations. Tourism in Nepal serves as an enduring source of national income, offering a significant competitive advantage, thus rendering sustainable tourism unavoidable.&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;

Analysis and modelling of global online public interest in multiple other infectious diseases due to the COVID-19 pandemic.

Previous research has demonstrated the applicability of Google Trends in predicting infectious diseases. This study aimed to analyze public interest in other infectious diseases before and after the outbreak of COVID-19 via Google Trends data and to predict these trends via time series models. Google Trends data for 12 common infectious diseases were obtained in this study, covering the period from 1 February 2018 to 5 May 2023. The ARIMA, TimeGPT, XGBoost, and LSTM algorithms were then utilized to establish time series prediction models. Our study revealed a significant decrease in public interest in most infectious diseases at the beginning of the pandemic outbreak, followed by a rebound in the post-pandemic era, which is consistent with reported disease incidences. Furthermore, our prediction models demonstrated good accuracy, with TimeGPT showing unique advantages. Our study highlights the potential application value of Google Trends and large pre-trained models for infectious disease prediction.

Construction of a new emergency management system for potentially viral/viral municipal solid waste in China: Based on the "Beam-Column Structure" framework model

Emergency management of municipal solid waste during public health emergencies is crucial for curbing the spread of viruses and controlling environmental pollution. Most existing solid waste management systems, are designed with a top-down approach, covering multiple industries and sectors. However, these systems often fail to effectively manage potentially viral solid waste in household waste, which impedes effective solid waste management during public health emergencies and increases the risk of viral outbreaks. For example, during the COVID-19 outbreak, negligent management of potentially viral solid waste may result in the formation of a potential transmission chain of COVID-19 virus. Improper waste management may contaminate natural vectors such as water, soil and air, thereby increasing the pathways of human contact with infected vectors and promoting the risk of transmission of viral diseases such as dengue, Zika and hepatitis A. In this study, the applicability and limitations of the Chinese public emergency management system in the disposal of Potentially Viral/Viral Municipal Solid Waste (PVMSW) were analyzed in the breakout of public health crises. To address the need for precise risk control, efficient collaboration among key stakeholders, functional integration crossing multiple management organizations and flexible responses to complex situations, we proposed a PVMSW emergency management system based on a “Beam-Column Structure” model. This system consists of four modules: main traction, organizational leadership, functional articulation and demand matching. Each module is supported by the corresponding safeguards, including multi-level subject responsibilities, multi-scenario organization and implementation, multi-chain process connection and multi-demand control methods. The PVMSW emergency management system proposed in this study contributes to extending the framework of existing waste management protocols and enhancing the timely collection, transportation and disposal of PVMSW in public health crises. It offers valuable insights and guidance on the practices for improving risk awareness and management capacity in China's solid waste emergency response.

Epidemiological characteristics of influenza outbreaks in schools in Jiangsu Province, China, 2020–2023 post-COVID-19 pandemic

BackgroundThis study aimed to analyze the epidemic characteristics and influencing factors of school influenza outbreaks in Jiangsu Province, China from 2020 to 2023,following the COVID-19 pandemic, to inform prevention and control strategies.MethodsData on influenza-like illness(ILI) outbreaks from the Chinese Influenza Surveillance Information System and national-level influenza surveillance sentinel hospitals were analyzed. The temporal distribution, school type, virus strains, and outbreak scales were examined using descriptive statistics.ResultsFrom 2020 to 2023, 1142 influenza outbreaks occurred in schools, with primary schools(ages 6 to 12) accounting for 71.80%. Most large outbreaks were caused by A(H1N1) and A(H3N2), responsible for 8.99% of total outbreaks. Outbreaks were predominantly reported in the pre-peak periods of B(Victoria) and A(H1N1) circulation, accounting for 86.31% and 92.32% of their respective total outbreaks. No concurrent influenza and COVID-19 outbreaks were observed during the study period.ConclusionPrimary and secondary schools are high-risk settings for influenza outbreaks. A(H3N2) shows higher adaptability and is more likely to co-circulate with other subtypes/lineages, especially A(H1N1), leading to larger outbreaks. B(Victoria)-caused outbreaks are more frequent but smaller in scale. School influenza outbreaks are more likely to occur during the early stages of seasonal peaks, particularly for B(Victoria) and A(H1N1). This suggests that influenza outbreaks in schools may play a crucial role in seeding and accelerating the spread of the virus within the broader community.

Factors affecting occupational burnout in medical staff: a path analysis based on the job demands-resources perspective.

To assess occupational burnout conditions and work-related factors among frontline medical staff during the COVID-19 pandemic and analyse the relationships among these factors utilizing the job demands-resources (JD-R) model as a theoretical framework. An online survey was distributed to medical staff in one city via convenience sampling during 12/29/2022-1/10/2023. Path analysis was utilized to explore the relationship between work-related factors and occupational burnout among frontline medical staff during the COVID-19 outbreak. Among 474 respondents, 455 frontline medical staff (female=79.56%) were included in the final analysis. Medical staff aged <35 exhibited higher levels of occupational burnout than did older staff. Depression/anxiety and workload were positively correlated with occupational burnout and negatively correlated with self-compassion, workplace health/safety, and workplace support. Path analysis indicated the direct effects of workplace support, depression/anxiety, workplace health/safety, self-compassion, and workload on occupational burnout. There were also partial mediating effects of workplace support, depression/anxiety, workplace health/safety, and self-compassion on occupational burnout. The model demonstrated good fit. Workplace support, a crucial job resource, can improve occupational burnout among frontline medical staff in various ways. Reducing anxiety, depression, and workload and improving workplace support, health/safety, and self-compassion are practical and effective measures for mitigating occupational burnout.

Prevalence of psychological distress: a scientific approach towards the mental health and wellbeing of population during the SARS-COV-2 outbreak

Background The global challenge of the novel coronavirus has led to an unprecedented downturn, adversely affecting the health and mental wellbeing of communities worldwide. The objective of this study is to assess mental health and psychological distress levels within the general population of Peshawar, Pakistan amidst the ongoing COVID-19 pandemic. Method A cross-sectional online survey was conducted among 715 residents of Peshawar, Pakistan. The questionnaire collected data on demographics, socioeconomic status, and residential area. The Modified K10 Kessler Psychological Distress Scale was used to measure mental well-being. Descriptive statistics, including means and standard deviations, were calculated, and statistical analyses were performed using SPSS (IBM, USA, version 22). Results A total of 715 responses were collected. The comprehensive psychological distress score was identified as 25.55, signifying moderate stress levels. Among the respondents, 53.3% were females, 46.7% had completed a bachelor’s degree, 41% were employed, 78.7% were single, 93.1% were non-smokers, and 69.4% resided in urban areas. The study revealed that both gender (p=0.001) employment status (p=0.018) were linked to a more pronounced psychological impact of the outbreak. Conclusions This study highlights age, gender, employment status, and urbanization as influential factors contributing to psychological distress during the COVID-19 outbreak. As we face the challenges of the new normal, it is essential for policymakers to address these mental health concerns through targeted support and interventions, ensuring that mental health resources are accessible and responsive to the needs of affected populations.

Epidemiological model can forecast COVID-19 outbreaks from wastewater-based surveillance in rural communities

Wastewater has emerged as a crucial tool for infectious disease surveillance, offering a valuable means to bridge the equity gap between underserved communities and larger urban municipalities. However, using wastewater surveillance in a predictive manner remains a challenge. In this study, we tested if detecting SARS-CoV-2 in wastewater can forecast outbreaks in rural communities.Under the CDC National Wastewater Surveillance program, we monitored the SARS-CoV-2 in the wastewater of five rural communities and a small city in Idaho (USA). We then used a particle filter method coupled with a stochastic susceptible-exposed-infectious-recovered (SEIR) model to infer active case numbers using quantities of SARS-CoV-2 in wastewater.Our findings revealed that while high daily variations in wastewater viral load made real-time interpretation difficult, the SEIR model successfully factored out this noise, enabling accurate forecasts of the Omicron outbreak in five of the six towns shortly after initial increases in SARS-CoV-2 concentrations were detected in wastewater. The model predicted outbreaks with a lead time of 0 to 11 days (average of 6 days +/- 4) before the surge in reported clinical cases.This study not only underscores the viability of wastewater-based epidemiology (WBE) in rural communities—a demographic often overlooked in WBE research—but also demonstrates the potential of advanced epidemiological modeling to enhance the predictive power of wastewater data. Our work paves the way for more reliable and timely public health guidance, addressing a critical gap in the surveillance of infectious diseases in rural populations.

How does OTT social viewing relieve pandemic-related depressive symptoms? Investigating the moderated mediation model of social connectedness and network types

ABSTRACT After the outbreak of COVID-19, people have lacked offline social opportunities and had to focus their energy on online social activities. While some researchers have proposed that both anxiety and depression have increased significantly during the COVID-19 pandemic, previous studies have provided evidence that people have mitigated negative emotions during the health crisis by using online services. In this manner, the pandemic-induced increase in online activity has significantly boosted global demand for online video services (Over-the-Top, OTT). OTT social viewing refers to the act of interacting with other users while simultaneously watching content through the social viewing service provided by OTT service providers. Drawing on the social compensation hypothesis and social capital theory, we surveyed people who experienced COVID-19-related depression and used Watch party, a key OTT social viewing service in Korea. The study reveals that while social media alone did not directly alleviate COVID-19-related depression, emotional stability was regained through building social connectedness via online activities. Furthermore, the study highlights that in OTT social viewing, the quality of interactions, rather than the quantity, was more crucial for forming social connectedness.

Dialogical Health Communication via Twitter (X) During COVID-19 in African Countries: Ghana as a Case Study

Social media platforms, such as Twitter (X), have a critical role in disseminating health information. The study aims to highlight the potential of Twitter (X) as an influential tool for health communication, in addition to providing findings related to public health communication strategies in Ghana. The study investigated the role of Twitter (X) as a platform for building interactive health communication between the health communication system and citizens in Ghana during the COVID-19 pandemic of 2020–2022. Additionally, it has the potential to contribute to building dialogical health communication. The study analyzed a sample of COVID-19-related tweets from the official Ghana Health Service Twitter (X) account @_GHS from 2020 to 2022. The results showed that Twitter (X) was a key tool for health communication during the COVID-19 pandemic in Ghana, with both health institutions and the public sharing large amounts of health information. Furthermore, the study found evidence of dialogic communication, in which healthcare institutions and professionals are actively engaging with the public on Twitter (X). It concluded that public health communication on Twitter (X) has changed over time, as well as that the interactive health communication between the health communication system and citizens in Ghana was affected positively during the COVID-19 outbreak. It highlighted Twitter (X)’s potential as a tool for establishing a dialogue loop and building dialogic health communication. The results showed that before COVID-19, Ghana did not use Twitter (X) effectively to communicate with citizens about health matters. Twitter (X), with its wide reach and highly interactive nature through features such as retweets, has become a major platform for interactions facilitating dialogue between health institutions and health professionals and facilitating dialogue in public spaces surrounding health issues like COVID-19.

A qualitative analysis on dairy farming policies and its stakeholder’s perspective in Indian dairy sector

This paper critically reviews the role of dairy farming policies and interventions required by the different government agencies and their associations. This article explains the divergence in formulation and implementation of dairy development policies and schemes (DDPS) in the Indian dairy sector. This paper is based on qualitative research representing a diverse range of epistemological, theoretical, and disciplinary perspectives. Review of Literature is to access databases from peer-reviewed journals and published survey reports of statutory and non-statutory bodies in the dairy farming sector. Dairy farmers/dairy entrepreneurs/milk producers are the respondents and information gathered through detailed telephonic interviews and audio recordings due to COVID-19 outbreak. Sample size ranges from 5–10 responses from stakeholders involved in dairy farming in Milk Supply Chain (MSC). Thematic Analysis (TA) is used for identifying, analyzing and interpreting patterns of text and its meaning (‘themes’) using NVIVO 10 software. Benefit of this research are also academicians, researchers and agriculture scientists for further research in the field of dairy farming and MSC. This paper develops a fair understanding about risks and challenges among small-medium size farmers in effective implementation of dairy development programmes and schemes. Dairy producers,processors and enterprises are able to formulate better marketing strategies for future market expansion of desi cow milk. Grounded Theory (GT), an iterative process based on the perception and concerns of respondents gathered from initial data is a novelty of this research. Study is only limited to qualitative approaches with small sample sizes. There is a need to investigate other statistical methods to validate the research.

Managing COVID-19 outbreaks in prisons - a brief review of literature and key lessons learnt.

During the COVID-19 pandemic, prisons faced a unique challenge of preventing and managing outbreaks with minimal adverse impact. This study aims to describe the epidemiology of COVID-19 in prisons, identify lessons learnt and make recommendations. The authors used the PubMed advanced search function using MeSH terms; (coronavirus, sars) AND (prisons) AND (disease outbreaks). The authors included original research reporting COVID-19 outbreaks in prisons. All other types and non-English publications were excluded. The authors used a structured data abstraction template to extract data systematically, and a second author independently abstracted data from 10% of the papers for quality assurance. The search yielded 96 hits. The authors included 15 studies meeting the inclusion criteria. These studies were from four countries. Seven studies reported individual outbreaks. The mean and median number of inmates and staff were 1,765, 1,126 and 575, 510. The mean and median number of cases among inmates and staff were 584, 464, and 72, 77. The number of reported deaths varied from 0 to 11. The authors present the prison-specific hazards grouped under human factors, healthcare factors and environmental factors. The authors also summarise interventions deployed as either primary prevention interventions, such as vaccinations, or secondary prevention interventions, including screening and contact tracing. This narrative review summarises the prison-specific hazards, which include movement of people in and out of the person, moving in new prisoners from other prisons, mixing of prisoners when transporting to courts, limited medical and isolation resources, crowded dormitories, shared lavatories, small communal facilities, poor ventilation and overcrowding. The interventions included limiting non-medical transfers into and out of the persons, assigning staff members to specific areas, encouraging face coverings among prisoners and staff and social isolation measures within the constraints of the prison setting. The interventions were adopted by prison authorities to contain and manage the outbreaks. Public Health and prison authorities need to be aware of the risk of further outbreaks of COVID-19 and other infectious diseases in these settings and implement key measures identified in this review to minimise adverse outcomes.

Beyond the blues: The protective influence of adaptability and well-being on university students' mental health.

Theoretical approaches suggest that adaptability and well-being could serve as protective factors in influencing mental health. However, it remains empirically unclear how students' prior adaptability and well-being predict depression (and vice versa) in the long term. Hence, using a longitudinal design, the present study explores the reciprocal relations among university students' adaptability, well-being, as well as depression before, during, and after the lockdown resulting from the COVID-19 pandemic. In a sample of 7527 Chinese university students (51.7% female; mean age = 18.38, standard deviation [SD] = 0.77), we measured adaptability, university-related well-being, and depression. Self-report assessments were administered before (Time 1, October 2019), 1 year after (Time 2, March 2021), and 2 years after (Time 3, March 2022) the COVID-19 outbreak in a comprehensive public university in China. Cross-lagged panel analysis revealed that prior adaptability and university-related well-being negatively predicted subsequent depression, even when statistically controlling for demographic factors such as gender, family economic status, and so on. Moreover, results showed positive reciprocal relations between adaptability and university-related well-being. Findings indicate that adaptability and university-related well-being have long-term protective effects on the mental health of university students, which could mitigate the negative effects of COVID-19 or other crises. The implications for practice and suggestions for future research are discussed.

How life circumstances during public health crises affect people to share and correct misinformation: a perspective of the third-person effect.

Misinformation spreading on social media often parallels public crises, such as the outbreak of COVID-19, because people's behaviors regarding misinformation may be influenced by their typical life circumstances. With the increasing severity of living conditions, misinformation is believed to spread more widely, while corrective behaviors tend to decrease. Furthermore, social comparison also affects the perception of life circumstances and subsequent behaviors. Taking Shanghai's COVID-19 lockdown as an example, this study examined whether two representative factors-the duration of the lockdown and the satisfaction with relief measures-affected people's tendency to share and correct misinformation. By employing the third-person effect (TPE) theory, the underlying mechanisms of social comparison were also explored. An online survey was conducted in April 2022, when the Zero-COVID policy was implemented in Shanghai. In addition to questions about life circumstances, a third-person perception scale, a behaviors of sharing misinformation scale, and a behaviors of correcting misinformation scale were included in the survey. Finally, 7,962 valid responses were collected. It was found that both behaviors-sharing and correcting misinformation-were affected by life circumstances but in different ways. The evidence also supported the existence of third-person perception (TPP). It was observed that the relationship between satisfaction with relief measures and sharing behavior was mediated by Third-Person Perception. This study reveals that the proliferation of misinformation during crises is related to the deterioration of people's perception of life circumstances. Social comparison often plays a significant role, as was reflected by the TPE.

On the efficiency of US community banks around the COVID-19 outbreak

ABSTRACT This paper examines how the COVID-19 pandemic affected the efficiency of 569 publicly traded community banks in the United States. Using a slacks-based measure (SBM) DEA modelling framework, we analyze quarterly data around the pandemic outbreak to estimate overall technical efficiency, pure technical efficiency, and scale efficiency scores. We use four assessment perspectives: general, loan-volume focused, loan-income focused and income-focused models. Additionally, we incorporate credit risk adjustment in loan and income-focused models. Our findings indicate that U.S. community banks enhanced their efficiency during and after COVID-19, surpassing pre-pandemic levels. Managerial efficiency drove this improvement. Adjusting for default risk weakened efficiency improvements, revealing a more accurate picture of efficiency changes during and after the pandemic.

Predictors of COVID-19 severity among a cohort of Egyptian patients

BackgroundAs the outbreak of COVID-19 progresses, prognostic markers for the identification of high-risk individuals are urgently needed. The angiotensin system is implicated in the pathogenesis of COVID-19 as ACE2 is the cellular receptor for SARS-COV-2 virus, and expression of the ACE2 gene could regulate an individual’s susceptibility to infection. In addition, the balance between ACE and ACE2 activity may play a role in the severity of COVID-19.Aim of workThe aim of the work is to explore the role of ACE1 I/D and ACE2 G8790A gene variants and serum ACE l/ACE2 ratio as risk factors for severity of COVID-19 infection.MethodsOne hundred and eighty COVID-19 patients were divided into three groups: mild (60 patients), moderate (60 patients), and severe (60 patients). The enzyme levels of ACE and ACE2 were measured by ELISA. ACE I/D (rs4646994) was assayed using PCR and ACE2 (rs2285666) gene variant was determined using real-time PCR.ResultsACE/ACE2 ratio was significantly lower in the mild group than in the moderate-to-severe group (P < 0.001). GG (reference) genotype and G allele of ACE2 were more frequent in mild group, AA (variant) genotype, and A allele were more frequent in severe group (P value < 0.001). In the multiple logistic regression, COVID-19 severity was associated with older age (> 50y) (OR 10.4, 95% CI 3.8–28.4, P < 0.001), comorbidities (OR 8.2, 95% CI 1.6–42.1, P 0.012), and higher ACE/ACE2 ratio (OR 8.3, 95% CI 3.7–18.6 P < 0.001) were independent significant predictors of severity. Haplotype analysis revealed that patients with D allele of the ACE gene combined with the A allele of the ACE2 gene had nearly double the risk of having severe COVID infection (OR = 1.9, 95% CI 1.1–3.5, P = 0.024).ConclusionOld age (> 50 years), presence of comorbidities, and a high ACE/ACE2 ratio are recognized as pivotal predictors of COVID-19 severity.