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2.
Gut Microbes ; 14(1):2117503, 2022.
Article in English | MEDLINE | ID: covidwho-2028942

ABSTRACT

The origins of preexisting SARS-CoV-2 cross-reactive antibodies and their potential impacts on vaccine efficacy have not been fully clarified. In this study, we demonstrated that S2 was the prevailing target of the preexisting S protein cross-reactive antibodies in both healthy human and SPF mice. A dominant antibody epitope was identified on the connector domain of S2 (1147-SFKEELDKYFKNHT-1160, P144), which could be recognized by preexisting antibodies in both human and mouse. Through metagenomic sequencing and fecal bacteria transplant, we demonstrated that the generation of S2 cross-reactive antibodies was associated with commensal gut bacteria. Furthermore, six P144 reactive monoclonal antibodies were isolated from naive SPF mice and were proven to cross-react with commensal gut bacteria collected from both human and mouse. A variety of cross-reactive microbial proteins were identified using LC-MS, of which E. coli derived HSP60 and HSP70 proteins were confirmed to be able to bind to one of the isolated monoclonal antibodies. Mice with high levels of preexisting S2 cross-reactive antibodies mounted higher S protein specific binding antibodies, especially against S2, after being immunized with a SARS-CoV-2 S DNA vaccine. Similarly, we found that levels of preexisting S2 and P144-specific antibodies correlated positively with RBD binding antibody titers after two doses of inactivated SARS-CoV-2 vaccination in human. Collectively, our study revealed an alternative origin of preexisting S2-targeted antibodies and disclosed a previously neglected aspect of the impact of gut microbiota on host anti-SARS-CoV-2 immunity.

3.
Elife ; 11, 2022.
Article in English | PubMed | ID: covidwho-2025329

ABSTRACT

Large-scale populations in the world have been vaccinated with COVID-19 vaccines, however, breakthrough infections of SARS-CoV-2 are still growing rapidly due to the emergence of immune-evasive variants, especially Omicron. It is urgent to develop effective broad-spectrum vaccines to better control the pandemic of these variants. Here, we present a mosaic-type trimeric form of spike receptor-binding domain (mos-tri-RBD) as a broad-spectrum vaccine candidate, which carries the key mutations from Omicron and other circulating variants. Tests in rats showed that the designed mos-tri-RBD, whether used alone or as a booster shot, elicited potent cross-neutralizing antibodies against not only Omicron but also other immune-evasive variants. Neutralizing antibody ID50 titers induced by mos-tri-RBD were substantially higher than those elicited by homo-tri-RBD (containing homologous RBDs from prototype strain) or the BIBP inactivated COVID-19 vaccine (BBIBP-CorV). Our study indicates that mos-tri-RBD is highly immunogenic, which may serve as a broad-spectrum vaccine candidate in combating SARS-CoV-2 variants including Omicron.

4.
Best Practices for Trauma-Informed School Counseling ; : 175-203, 2022.
Article in English | Scopus | ID: covidwho-2024627

ABSTRACT

Following the COVID-19 outbreak, Asian Americans, more specifically East and Southeast Asian Americans, have become the targets of racism, discrimination, and hate crimes. Mirroring this broader societal problem of COVID-related racism, schools have become a hostile environment for Asian American students with a significant rise in bullying and discriminatory incidents. In addition to experiencing harassment and discrimination in schools, Asian American students have also reported such incidents in online platforms. Both in-person and online COVIDrelated discrimination experienced by Asian American students have been linked to the PTSD symptoms, racial trauma, in this minoritized population. Therefore, the purpose of this chapter is to serve as a resource for school counselors to implement trauma-informed, culturally-sensitive practices, using the multitiered systems of support (MTSS) as a guide, when working with Asian American youth affected by COVID-19-related racial discrimination. © 2021, IGI Global.

5.
Frontiers in Public Health ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2023010

ABSTRACT

Amidst the COVID-19 vaccination, Twitter is one of the most popular platforms for discussions about the COVID-19 vaccination. These types of discussions most times lead to a compromise of public confidence toward the vaccine. The text-based data generated by these discussions are used by researchers to extract topics and perform sentiment analysis at the provincial, country, or continent level without considering the local communities. The aim of this study is to use clustered geo-tagged Twitter posts to inform city-level variations in sentiments toward COVID-19 vaccine-related topics in the three largest South African cities (Cape Town, Durban, and Johannesburg). VADER, an NLP pre-trained model was used to label the Twitter posts according to their sentiments with their associated intensity scores. The outputs were validated using NB (0.68), LR (0.75), SVMs (0.70), DT (0.62), and KNN (0.56) machine learning classification algorithms. The number of new COVID-19 cases significantly positively correlated with the number of Tweets in South Africa (Corr = 0.462, P < 0.001). Out of the 10 topics identified from the tweets using the LDA model, two were about the COVID-19 vaccines: uptake and supply, respectively. The intensity of the sentiment score for the two topics was associated with the total number of vaccines administered in South Africa (P < 0.001). Discussions regarding the two topics showed higher intensity scores for the neutral sentiment class (P = 0.015) than for other sentiment classes. Additionally, the intensity of the discussions on the two topics was associated with the total number of vaccines administered, new cases, deaths, and recoveries across the three cities (P < 0.001). The sentiment score for the most discussed topic, vaccine uptake, differed across the three cities, with (P = 0.003), (P = 0.002), and (P < 0.001) for positive, negative, and neutral sentiments classes, respectively. The outcome of this research showed that clustered geo-tagged Twitter posts can be used to better analyse the dynamics in sentiments toward community-based infectious diseases-related discussions, such as COVID-19, Malaria, or Monkeypox. This can provide additional city-level information to health policy in planning and decision-making regarding vaccine hesitancy for future outbreaks.

6.
Frontiers in Public Health ; 10:978159, 2022.
Article in English | MEDLINE | ID: covidwho-2023005

ABSTRACT

During the COVID-19 pandemic in 2020, a tuberculosis outbreak occurred in a university in eastern China, with 4,488 students and 421 staff on the campus. A 19-year-old student was diagnosed in August 2019. Later, the first round of screening was initiated among close contacts, but no active cases were found. Till September 2020, four rounds of screening were performed. Four rounds of screening were conducted on September 9, November 8, November 22-25 in 2019 and September 2020, with 0, 5, 0 and 43 cases identified, respectively. A total of 66 active tuberculosis were found in the same university, including 4 sputum culture-positive and 7 sputum smear-positive. The total attack rate of active tuberculosis was 1.34% (66/4909). The whole-genome sequencing showed that the isolates belonged to the same L2 sub-specie and were sensitive to all tested antituberculosis drugs. Delay detection, diagnosis and report of cases were the major cause of this university tuberculosis epidemic. More attention should be paid to the asymptomatic students in the index class. After the occurrence of tuberculosis cases in schools, multiple rounds of screening should be carried out, and preventive therapy should be applied in a timely manner.

7.
Journal of Neurosurgery Case Lessons ; 2(17):CASE21421, 2021.
Article in English | MEDLINE | ID: covidwho-2022561

ABSTRACT

BACKGROUND: Nasal swab tests are one of the most essential tools for screening coronavirus disease 2019 (COVID-19). The authors report a rare case of iatrogenic cerebrospinal fluid (CSF) leak from the anterior skull base after repeated nasal swab tests for COVID-19, which was treated with endoscopic endonasal repair. OBSERVATIONS: A 41-year-old man presented with clear continuous rhinorrhea through his left nostril for 5 days after repeated nasal swabbing for COVID-19. There were no obvious risk factors for spontaneous CSF leak. Computed tomography cisternography showed contrast accumulation in the left olfactory fossa and along the left nasal cavity. Such findings aligned with a preliminary diagnosis of CSF leakage through the left cribriform plate. Magnetic resonance imaging confirmed the presence of a CSF fistula between his left cribriform plate and superior nasal concha. The patient underwent endoscopic endonasal repair. CSF rhinorrhea ceased after the surgery, and no recurrence was noted during the 12-week postoperative follow-up period. LESSONS: Although rare, iatrogenic CSF leakage can be a serious complication following COVID-19 nasal swab tests, especially when infection may cause significant neurological sequelae. Healthcare providers should become familiar with nasal cavity anatomy and be well trained in performing nasal swab tests.

8.
Journal of Nursing Management ; 05:05, 2022.
Article in English | MEDLINE | ID: covidwho-2019499

ABSTRACT

AIMS: This study aimed to investigate the status quo of nurses' spiritual care competency and their relationship with perceived professional benefit. BACKGROUND: Spiritual care has always been considered a vitally important part of holistic nursing. Understanding the spiritual care competency of nurses during the COVID-19 pandemic can help nursing managers understand the weak links in spiritual care practice and improve the quality of nursing service. As a positive emotional experience and cognitive evaluation of the profession, perceived professional benefit can serve to adjust work pressure, relieve job burnout, and promote an individual's overall growth. However, the relationship between perceived professional benefit among nurses and spiritual care competency remains unclear. METHODS: A total of 372 nurses were recruited from 15 separate Chinese hospitals. An online questionnaire was used to assess nurses' sociodemographic, spiritual care competency, and perceived professional benefit. Statistical analyses were performed using Pearson's correlation analysis, t-test, analysis of variance (ANOVA), and multiple stepwise linear regression analysis. RESULTS: The total mean score of spiritual care competency (99.43 +/- 21.10) among nurses was found to be moderate. Nurses' spiritual care competency was positively correlated with perceived professional benefit (P < .01). The multiple stepwise linear regression model (n = 372) had an explained variance (R2 = 0.218) and showed that perceived professional benefit and the manner of receiving spiritual training were the main influencing factors of nurses' spiritual care competency (P < .001). CONCLUSION: The study findings indicated that nurses need to improve their spiritual care competency by improving their perceived professional benefit. IMPLICATION FOR NURSING MANAGERS: Our study evaluated the spiritual care competency of nurses and explored the correlation between perceived professional benefit and spiritual care competency among nurses. The results of this study can help nursing managers to carry out relevant interventions, thus improving nurses' spiritual care competency and optimizing the quality of nursing.

9.
Ieee Access ; 10:88371-88385, 2022.
Article in English | Web of Science | ID: covidwho-2018603

ABSTRACT

The COVID-19 epidemic has disrupted the normal teaching and learning in universities, which poses significant challenges to college education. The traditional face-to-face learning mode has been switched to online (distance) learning, causing various influences on students' academic performance. As higher education plays a central role in technology innovation and society development, it is of great importance to investigate and improve online education in the context of COVID-19. This study distributed online questionnaires to college students from 30 provinces or municipalities in China to evaluates the SWOT (Strengths, Weaknesses, Opportunities, and Threats) factors of shifting from traditional learning to online learning during COVID-19 Pandemic. The SWOT analysis has been employed to construct 16 kind of internal and external evaluation factors and 4 kind of improvement strategies for assess online education. The basic data of subjective weight method - AHP comes from the questionnaire survey, and the weight value of SWOT factors are determined through the questionnaire survey results. The fuzzy MARCOS approach is used to select the most suitable strategies for its effective implementation. Several coping strategies are suggested to improve the online education in post-pandemic era, which is essential for higher education and promoting a civilized and sustainable society. "By reforming and innovating the teacher led teaching mode, stimulate students' interest in learning, get rid of the boring learning state, create a good learning atmosphere and improve the teaching quality" is the most effective strategy to enhance the online learning experience and increase students' satisfaction. This methodology is applicable with a case study concerning the students' online education in pandemic and the validity of this approach is presented through comparative analysis and sensitivity analysis. Through example verification, it is found that SWOT method is suitable for online education evaluation research no matter how the research object changes.

10.
Current Medicine (Cham, Switzerland) ; 1(1):14, 2022.
Article in English | MEDLINE | ID: covidwho-2014673
11.
2022 3rd International Conference on Computer Information and Big Data Applications, CIBDA 2022 ; : 1081-1086, 2022.
Article in English | Scopus | ID: covidwho-2012956

ABSTRACT

In response to the outbreak of the new coronavirus pneumonia- "COVID-19" in 2019, the health code is widely used in China as an effective means of epidemic prevention and testing. The information security issues among the health code have important research significance. This paper proposes a set of security protocols based on the existing cryptographic theory system, the information security issues of health codes will also be discussed in depth on this basis. In the study, some problems with the use of health code was explained and solutions were proposed. © VDE VERLAG GMBH - Berlin - Offenbach.

12.
Trop Dis Travel Med Vaccines ; 8, 2022.
Article in English | PMC | ID: covidwho-2009483

ABSTRACT

Background: Most mass gathering events have been suspended due to the SARS-CoV-2 pandemic. However, with vaccination rollout, whether and how to organize some of these mass gathering events arises as part of the pandemic recovery discussions, and this calls for decision support tools. The Hajj, one of the world's largest religious gatherings, was substantively scaled down in 2020 and 2021 and it is still unclear how it will take place in 2022 and subsequent years. Simulating disease transmission dynamics during the Hajj season under different conditions can provide some insights for better decision-making. Most disease risk assessment models require data on the number and nature of possible close contacts between individuals. Methods: We sought to use integrated agent-based modeling and discrete events simulation techniques to capture risky contacts among the pilgrims and assess different scenarios in one of the Hajj major sites, namely Masjid-Al-Haram. Results: The simulation results showed that a plethora of risky contacts may occur during the rituals. Also, as the total number of pilgrims increases at each site, the number of risky contacts increases, and physical distancing measures may be challenging to maintain beyond a certain number of pilgrims in the site. Conclusions: This study presented a simulation tool that can be relevant for the risk assessment of a variety of (respiratory) infectious diseases, in addition to COVID-19 in the Hajj season. This tool can be expanded to include other contributing elements of disease transmission to quantify the risk of the mass gathering events.

13.
Female Pelvic Medicine and Reconstructive Surgery ; 28(6):S56, 2022.
Article in English | EMBASE | ID: covidwho-2008706

ABSTRACT

Introduction: We previously reported a 6.1% rate of mesh/permanent suture exposure at 1 year after minimally-invasive total hysterectomy and sacrocolpopexy (TLH + SCP) with a light-weight polypropylene mesh. Vaginal mesh exposures may increase over time. Objective: The goal of this extension study was to evaluate total and incident mesh/permanent suture exposure rates at least 2 years after surgery. Our secondary aims were to evaluate surgical success and late adverse events. Methods: This extension study included women previously enrolled in the multicenter randomized trial of permanent (2-0 GoreTex) vs delayed-absorbable (2-0 PDS) suture with Upsylon™ mesh during TLH + SCP for > stage II prolapse (POP), for follow-up at least 24 months after surgery. Due to COVID-19, women were given the option of an in-person (symptoms + exam) or telephone visit (symptoms only). The primary outcome was total and incident permanent suture or mesh exposure, or symptoms suggestive of mesh exposure in women without a pelvic examination (vaginal bleeding, bothersome discharge, partner feeling mesh). Women who did not enter the extension trial but were confirmed to have mesh exposure at 1 year were carried forward as a mesh exposure. Secondary outcomes were: 1) Surgical success, which was defined as no subjective bulge on PFDI questionnaire, no prolapse beyond the hymen, and no POP retreatment and 2) Adverse events, which were classified according to Dindo grading scale. Results: 182/200 previously randomized participants were eligible for inclusion, of which 106 (58%) women (78 in-person and 28 via questionnaire only) agreed to the extension study. Demographic characteristics are presented in Table 1. At a mean of 3.9 years post-surgery, the rate of mesh/suture exposure was 7.7% (14/182): 5 in-person,1 in the questionnaire only group and 8 cases carried forward from 1-year follow-up. Only 2 were incident cases reported after 1-year follow-up. There were 2 cases of suture exposure in the original cohort at 1 year, and 0 suture exposures in the current group, for a carry forward rate of 1.1% (2/182). There was no significant difference in mean age or follow-up time for women with and without an exam. None reported vaginal bleeding/discharge, dyspareunia, or penile dyspareunia. Mesh/suture exposures were managed as follows: 4 (66.7%) vaginal estrogen, 2 (33.3%) office trimming and 1 (16.7%) vaginal mesh excision surgery. For women without a study visit, there was one reported mesh exposure which was treated with office removal. Surgical success was 93/ 106 (87.7%): 13/94 (13.8%) failed by bulge symptoms, 2/78 (2.6%) by prolapse beyond hymen, 1/85 (1.2%) by retreatment with pessary, and 0 retreatment with surgery. There were 34 (32%) subjects who reported an adverse event. The most common were vaginal atrophy (16), pelvic or vaginal pain (7), dyspareunia (5), UTI (3), vaginal bleeding (3), and vaginal discharge (3). There were no serious adverse events. Conclusions: The rate of incident mesh exposure between 1 and 3.9 years postsurgery was low, success rates remained high, and there were no delayed serious adverse events after TLH + SCP with lightweight polypropylene mesh (Table Presented).

14.
Journal of chemical information and modeling ; 2022.
Article in English | MEDLINE | ID: covidwho-2008238

ABSTRACT

Protein-protein interactions (PPIs) are involved in almost all biological processes in the cell. Understanding protein-protein interactions holds the key for the understanding of biological functions, diseases and the development of therapeutics. Recently, artificial intelligence (AI) models have demonstrated great power in PPIs. However, a key issue for all AI-based PPI models is efficient molecular representations and featurization. Here, we propose Hom-complex-based PPI representation, and Hom-complex-based machine learning models for the prediction of PPI binding affinity changes upon mutation, for the first time. In our model, various Hom complexes Hom(G1, G) can be generated for the graph representation G of protein-protein complex by using different graphs G1, which reveal G1-related inner connections within the graph representation G of protein-protein complex. Further, for a specific graph G1, a series of nested Hom complexes are generated to give a multiscale characterization of the PPIs. Its persistent homology and persistent Euler characteristic are used as molecular descriptors and further combined with the machine learning model, in particular, gradient boosting tree (GBT). We systematically test our model on the two most-commonly used data sets, that is, SKEMPI and AB-Bind. It has been found that our model outperforms all the existing models as far as we know, which demonstrates the great potential of our model for the analysis of PPIs. Our model can be used for the analysis and design of efficient antibodies for SARS-CoV-2.

15.
World Journal of Clinical Cases ; 10(25):8872-8879, 2022.
Article in English | EMBASE | ID: covidwho-2006526

ABSTRACT

BACKGROUND Misuse of disinfectants during the coronavirus disease 2019 pandemic has led to several poisoning incidents. However, there are few clinical case reports on poisoning caused by improper mixing of household disinfectants. AIM To summarize the clinical characteristics and treatment effects of chlorine poisoning caused by improper mixing of hypochlorite bleach with acidic cleaning agents. METHODS We retrospectively analyzed baseline and clinical data, clinical symptoms, and treatment methods of seven patients with chlorine poisoning who were admitted to the National Army Poisoning Treatment Center. RESULTS Among the seven patients, the average poisoning time (exposure to admission) was 57 h (4-240 h). All patients were involved in cleaning bathrooms. Chest computed tomography scans revealed bilateral lung effusions or inflammatory changes in five patients. The partial pressure of oxygen decreased in six patients, and respiratory failure occurred in one. Five patients had different degrees of increase in white blood cell count. Humidified oxygen therapy, non-invasive mechanical ventilation, anti-inflammatory corticosteroids, antioxidants, and antibiotics were administered for treatment. The average length of hospital stay was 7 d (4-9 d). All seven patients recovered and were discharged. CONCLUSION Improper mixing of household disinfectants may cause damage to the respiratory system due to chlorine poisoning. Corticosteroids may improve lung exudation in severe cases, and symptomatic supportive treatment should be performed early

16.
Mathematical Biosciences and Engineering ; 19(11):11380-11398, 2022.
Article in English | Web of Science | ID: covidwho-2006288

ABSTRACT

A significant distinction between the COVID-19 pandemic and previous pandemics is the significant role of social media platforms in shaping public adherence to non-pharmaceutical interventions and vaccine acceptance. However, with the recurrence of the epidemic, the conflict between epidemic prevention and production recovery has become increasingly prominent on social media. To help design effective communication strategies to guide public opinion, we propose a susceptible-forwarding-immune pseudo-environment (SFI-PE) dynamic model for understanding the environment with direct and indirect propagation behaviors. Then, we introduce a system with external interventions for direct and indirect propagation behaviors, termed the macro-controlled SFI-PE (M-SFI-PE) model. Based on the numerical analyses that were performed using actual data from the Chinese Sina microblogging platform, the data fitting results prove our models' effectiveness. The research grasps the law of the new information propagation paradigm, and our work bridges the gap between reality and theory in information interventions.

17.
Indoor Air ; 32(8), 2022.
Article in English | Web of Science | ID: covidwho-2005271

ABSTRACT

Particle size removal efficiencies for 0.1-1.0 mu m (PSE0.1-1.0$$ {PSE}_{0.1-1.0} $$) and 0.3-1.0 mu m (PSE0.3-1.0$$ {PSE}_{0.3-1.0} $$) diameter of Minimum Efficiency Reporting Value (MERV) filters, an electrostatic enhanced air filter (EEAF), and their two-stage filtration systems were evaluated. Considering the most penetrating particle size was 0.1-0.4 mu m particulate matter (PM), the PSE0.1-1.0$$ {PSE}_{0.1-1.0} $$ as an evaluation parameter deserves more attention during the COVID-19 pandemic, compared to the PSE0.3-1.0$$ {PSE}_{0.3-1.0} $$. The MERV 13 filters were recommended for a single-stage filtration system because of their superior quality factor (QF) compared to MERV 6, MERV 8, MERV 11 filters, and the EEAF. Combined MERV 8 + MERV 11 filters have the highest QF compared to MERV 6 + MERV 11 filters and EEAF + MERV 11 filters;regarding 50% of PSE0.1-1.0$$ {PSE}_{0.1-1.0} $$ as the filtration requirements of two-stage filtration systems, the MERV 8 + MERV 11 filtration system can achieve this value at 1.0 m/s air velocity, while PSE0.1-1.0$$ {PSE}_{0.1-1.0} $$ values were lower than 50% at 1.5 m/s and 2.0 m/s. EEAF obtained a better PSE0.3-1.0$$ {PSE}_{0.3-1.0} $$ in the full-recirculated test rig than in the single-pass mode owing to active ionization effects when EEAF was charged by alternating current.

18.
Ieee Transactions on Engineering Management ; 2022.
Article in English | Web of Science | ID: covidwho-2005239

ABSTRACT

Hospitals and other healthcare settings use various simulation methods to improve their operations, management, and training. The COVID-19 pandemic, with the resulting necessity for rapid and remote assessment, has highlighted the critical role of modeling and simulation in healthcare, particularly distributed simulation (DS). DS enables integration of heterogeneous simulations to further increase the usability and effectiveness of individual simulations. This article presents a DS system that integrates two different simulations developed for a hospital intensive care unit (ICU) ward dedicated to COVID-19 patients. AnyLogic has been used to develop a simulation model of the ICU ward using agent-based and discrete event modeling methods. This simulation depicts and measures physical contacts between healthcare providers and patients. The Unity platform has been utilized to develop a virtual reality simulation of the ICU environment and operations. The high-level architecture, an IEEE standard for DS, has been used to build a cloud-based DS system by integrating and synchronizing the two simulation platforms. While enhancing the capabilities of both simulations, the DS system can be used for training purposes and assessment of different managerial and operational decisions to minimize contacts and disease transmission in the ICU ward by enabling data exchange between the two simulations.

19.
PLoS ONE [Electronic Resource] ; 17(8):e0272208, 2022.
Article in English | MEDLINE | ID: covidwho-2002303

ABSTRACT

The COVID-19 pandemic has had a devastating impact on the global economy. In this paper, we use the Phillips curve to compare and analyze the macroeconomics of three different countries with distinct income levels, namely, lower-middle (Nigeria), upper-middle (South Africa), and high (Canada) income. We aim to (1) find macroeconomic changes in the three countries during the pandemic compared to pre-pandemic time, (2) compare the countries in terms of response to the COVID-19 economic crisis, and (3) compare their expected economic reaction to the COVID-19 pandemic in the near future. An advantage to our work is that we analyze macroeconomics on a monthly basis to capture the shocks and rapid changes caused by on and off rounds of lockdowns. We use the volume and social sentiments of the Twitter data to approximate the macroeconomic statistics. We apply four different machine learning algorithms to estimate the unemployment rate of South Africa and Nigeria on monthly basis. The results show that at the beginning of the pandemic the unemployment rate increased for all the three countries. However, Canada was able to control and reduce the unemployment rate during the COVID-19 pandemic. Nonetheless, in line with the Phillips curve short-run, the inflation rate of Canada increased to a level that has never occurred in more than fifteen years. Nigeria and South Africa have not been able to control the unemployment rate and did not return to the pre-COVID-19 level. Yet, the inflation rate has increased in both countries. The inflation rate is still comparable to the pre-COVID-19 level in South Africa, but based on the Phillips curve short-run, it will increase further, if the unemployment rate decreases. Unfortunately, Nigeria is experiencing a horrible stagflation and a wild increase in both unemployment and inflation rates. This shows how vulnerable lower-middle-income countries could be to lockdowns and economic restrictions. In the near future, the main concern for all the countries is the high inflation rate. This work can potentially lead to more targeted and publicly acceptable policies based on social media content.

20.
Arch Public Health ; 80(1):194, 2022.
Article in English | PubMed | ID: covidwho-2002231

ABSTRACT

BACKGROUND: The aim of the study was to use a moderated mediation model to understand and examine the relationship between negative emotions and creativity among college students during the COVID-19 pandemic, using psychological resilience as a mediator and posttraumatic growth as a moderator. METHODS: A sample of 881 college students in mainland China completed a self-report questionnaire that included four scales: the Depression-Anxiety-Stress Scale, Psychological Resilience Scale, Runco Ideational Behavior Scale and Posttraumatic Growth Inventory. RESULTS: Findings indicated that:(1) negative emotions were a strong predictor of creativity;(2) psychological resilience partially mediated the association between negative emotions and creativity;and (3) posttraumatic growth moderated the positive effect of psychological resilience, such that the indirect effect between negative emotions and creativity via psychological resilience was stronger for someone with a low level of resilience. CONCLUSION: The findings further clarify the mechanisms that affect the relationship between negative emotions and creativity among college students.

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