The impact of vaccination on the dynamics of the Omicron variant of SARS-CoV-2

In the context of vaccination, we develop a novel mathematical model to examine the Omicron type of coronavirus illness. The system's mathematical analysis based on its equilibrium points shall be obtained. The threshold quantity is used to investigate the system's local and global asymptotical analysis. The Omicron vaccination model shown to be stable locally asymptotically if R 0 v < 1 . The system is globally asymptotically stable at the disease-free equilibrium for a special case when η = 1 if R 0 v < 1 . We estimate the model parameters based on the observed data and show that the threshold is R 0 ≈ 2.4894 in the absence of vaccination. The model has the phenomenon of backward bifurcation under certain conditions. Herd immunity analysis is obtained and it turns out that the herd immunity threshold for the South African population is 74%. The impact of vaccination on disease dynamics is also shown and discussed. Further, we have given some graphical results showing the community's disease reduction. [ FROM AUTHOR] Copyright of Waves in Random & Complex Media is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Time series forecasting of COVID-19 transmission in Asia Pacific countries using deep neural networks.

The novel human coronavirus disease COVID-19 has become the fifth documented pandemic since the 1918 flu pandemic. COVID-19 was first reported in Wuhan, China, and subsequently spread worldwide. Almost all of the countries of the world are facing this natural challenge. We present forecasting models to estimate and predict COVID-19 outbreak in Asia Pacific countries, particularly Pakistan, Afghanistan, India, and Bangladesh. We have utilized the latest deep learning techniques such as Long Short Term Memory networks (LSTM), Recurrent Neural Network (RNN), and Gated Recurrent Units (GRU) to quantify the intensity of pandemic for the near future. We consider the time variable and data non-linearity when employing neural networks. Each model's salient features have been evaluated to foresee the number of COVID-19 cases in the next 10 days. The forecasting performance of employed deep learning models shown up to July 01, 2020, is more than 90% accurate, which shows the reliability of the proposed study. We hope that the present comparative analysis will provide an accurate picture of pandemic spread to the government officials so that they can take appropriate mitigation measures.

Acute-Onset Achalasia Following a Recent COVID-19 Infection: A Case Report.

Achalasia is a rare esophageal motility disorder that leads to dysphagia, regurgitation, and several other symptoms. While the etiology of achalasia is not completely understood, studies have suggested an immune reaction to viral infections, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as a potential cause. Here, we present a case report of a previously healthy 38-year-old male who presented to the emergency room with severe shortness of breath, recurrent vomiting, and dry cough, that had progressively worsened over five days. The patient was diagnosed with coronavirus disease 2019 (COVID-19), and a chest CT also revealed prominent features of achalasia with a markedly dilated esophagus and areas of narrowing at the distal esophagus. The initial management of the patient included IV fluids, antibiotics, anticholinergics, and corticosteroid inhalers which improved his symptoms. This case report highlights the importance of considering the acute-onset of achalasia in COVID-19 patients and the need for further research on the potential association between SARS-CoV-2 and achalasia.

Challenges in the Development and Application of Organ-on-Chips for Intranasal Drug Delivery Studies.

With the growing demand for the development of intranasal (IN) products, such as nasal vaccines, which has been especially highlighted during the COVID-19 pandemic, the lack of novel technologies to accurately test the safety and effectiveness of IN products in vitro so that they can be delivered promptly to the market is critically acknowledged. There have been attempts to manufacture anatomically relevant 3D replicas of the human nasal cavity for in vitro IN drug tests, and a couple of organ-on-chip (OoC) models, which mimic some key features of the nasal mucosa, have been proposed. However, these models are still in their infancy, and have not completely recapitulated the critical characteristics of the human nasal mucosa, including its biological interactions with other organs, to provide a reliable platform for preclinical IN drug tests. While the promising potential of OoCs for drug testing and development is being extensively investigated in recent research, the applicability of this technology for IN drug tests has barely been explored. This review aims to highlight the importance of using OoC models for in vitro IN drug tests and their potential applications in IN drug development by covering the background information on the wide usage of IN drugs and their common side effects where some classical examples of each area are pointed out. Specifically, this review focuses on the major challenges of developing advanced OoC technology and discusses the need to mimic the physiological and anatomical features of the nasal cavity and nasal mucosa, the performance of relevant drug safety assays, as well as the fabrication and operational aspects, with the ultimate goal to highlight the much-needed consensus, to converge the effort of the research community in this area of work.

Structural basis for the mechanism of interaction of SARS-CoV-2 B.1.640.2 variant RBD with the host receptors hACE2 and GRP78.

The inflicted chaos instigated by the SARS-CoV-2 (Severe acute respiratory syndrome coronavirus 2) globally continues with the emergence of novel variants. The current global outbreak is aggravated by the manifestation of novel variants, which affect the effectiveness of the vaccine, attachment with hACE2 (human Angiotensin-converting enzyme 2) and immune evasion. Recently, a new variant named University Hospital Institute (IHU) (B.1.640.2) was reported in France in November 2021 and is spreading globally affecting public healthcare. The B.1.640.2 SARS-CoV-2 strain revealed 14 mutations and 9 deletions in spike protein. Thus, it is important to understand how these variations in the spike protein impact the communication with the host. A protein coupling approach along with molecular simulation protocols was used to interpret the variation in the binding of the wild type (WT) and B.1.640.2 variant with hACE2 and Glucose-regulating protein 78 (GRP78) receptors. The initial docking scores revealed a stronger binding of the B.1.640.2-RBD with both the hACE2 and GRP78. To further understand the crucial dynamic changes, we looked at the structural and dynamic characteristics and also explored the variations in the bonding networks between the WT and B.1.640.2-RBD (receptor-binding domain) in association with hACE2 and GRP78, respectively. Our findings revealed that the variant complex demonstrated distinct dynamic properties in contrast to the wild type due to the acquired mutations. Finally, to provide conclusive evidence on the higher binding by the B.1.640.2 variant the TBE was computed for each complex. For the WT with hACE2 the TBE was quantified to be-61.38 ± 0.96 kcal/mol and for B.1.640.2 variant the TBE was estimated to be -70.47 ± 1.00 kcal/mol. For the WT-RBD-GRP78 the TBE -was computed to be 32.32 ± 0.56 kcal/mol and for the B.1.640.2-RBD a TBE of -50.39 ± 0.88 kcal/mol was reported. This show that these mutations are the basis for higher binding and infectivity produced by B.1.640.2 variant and can be targeted for drug designing against it.Communicated by Ramaswamy H. Sarma.

Ulam-Hyers stability of tuberculosis and COVID-19 co-infection model under Atangana-Baleanu fractal-fractional operator.

The intention of this work is to study a mathematical model for fractal-fractional tuberculosis and COVID-19 co-infection under the Atangana-Baleanu fractal-fractional operator. Firstly, we formulate the tuberculosis and COVID-19 co-infection model by considering the tuberculosis recovery individuals, the COVID-19 recovery individuals, and both disease recovery compartment in the proposed model. The fixed point approach is utilized to explore the existence and uniqueness of the solution in the suggested model. The stability analysis related to solve the Ulam-Hyers stability is also investigated. This paper is based on Lagrange's interpolation polynomial in the numerical scheme, which is validated through a specific case with a comparative numerical analysis for different values of the fractional and fractal orders.

Prevalence and difference of COVID-19 symptoms, post-COVID conditions and duration of illness among the vaccinated and unvaccinated population: a cross-sectional study in Peshawar.

Studies on coronavirus disease 2019 (COVID-19) symptoms, post-coronavirus disease (COVID) conditions, and vaccination outcomes in Pakistan are limited and inconsistent. The study investigated differences in symptoms and post-COVID conditions between vaccinated and unvaccinated individuals and the impact of vaccination on illness duration based on existing literature. Methods: The study was a 3-month cross-sectional study conducted in Peshawar, Pakistan. It targeted individuals aged 16 and above who had contracted COVID-19 at least once during the recent pandemic, regardless of gender, and confirmed through reverse transcriptase polymerase chain reaction testing. The sample size was 250, determined using the WHO sample size calculator. Data were collected through questionnaires after obtaining verbal consent and analyzed using IBM SPSS version 26, taking into account their vaccination status along with other important variables. Results: Among the 250 respondents, 143 (57.2%) were unvaccinated, while 107 (42.8%) were vaccinated at the time of contracting COVID-19. Unvaccinated subjects developed a greater variety of symptoms that lasted for longer durations (P<0.001) with symptoms like dyspnea [55 (38.5%, P=0.011)], anosmia [76 (53.1%, P=0.001)], and chest pain [24 (16.8%, P=0.029)] occurring at greater percentages. Sixty-one (42.7%) unvaccinated subjects reported post-COVID conditions as opposed to 29 (27.1%) among the vaccinated group [P=0.011; odds ratio (OR)=0.5; 95% CI=0.29-0.86]. Conclusion: The study found that COVID-19 vaccination can reduce the duration and frequency of symptoms, as well as post-COVID conditions. This is the first research of its kind conducted in Peshawar, Pakistan, and may serve as a foundation for future research in this demographic.

The Common Systemic and Local Adverse Effects of the Sinovac COVID-19 Vaccine: An Observational Study From Pakistan.

Background Vaccination acts by boosting the capacity of a person's immune system to identify and effectively resist infection-causing bacteria and viruses, as it stimulates the immune system to respond to the vaccine's antigens. The immunological response may include local and systemic symptoms, including pain at the injection site and fever, respectively. The Sinovac vaccine is an inactivated virus vaccine made in China and is one of the most widely used vaccines in many countries; however, the side effects of the Sinovac vaccine have not been well-studied in our population. Therefore, this study assessed the prevalence of side effects experienced by participants after receiving the Sinovac vaccine. Methodology This multicenter, cross-sectional study was conducted using a non-probability sampling method. The duration of the study was six months from May 1, 2022, to October 31, 2022. A total of 800 participants who were completely vaccinated with the Sinovac vaccine were included in the study. For categorical data, frequencies and percentages were documented, while for continuous data, such as age, height, weight, and the duration of comorbidities, means and standard deviations were evaluated. Results The study findings showed that out of 800 participants, 534 (66.8%) were males and 266 (33.3%) were females, with a mean age of 41.20 ± 13.70 years. Among them, 162 (20.3%) had hypertension, and 104 (13.0%) had diabetes. Following the first dose of the Sinovac vaccine, fever was the most commonly reported side effect in 350 (43.8%) participants. Additionally, pain at the injection site in 238 (29.8%) participants, followed by swelling at the injection site in 228 (28.5%) recipients, were among other common side effects. Following the second dose of the Sinovac vaccine, fever was the most commonly reported side effect in 262 (32.8%) participants. Conclusions This study concluded that fever was the most frequent systemic side effect, whereas pain and swelling at the injection site were the most frequent local side effects following the administration of the first and second doses of the Sinovac vaccine. Both dosages of Sinovac were well-tolerated, and the majority of the adverse effects were minor and self-limiting.

The effect of COVID-19 pandemic on respiratory therapy students' clinical practice: a cross-sectional study.

BACKGROUND: Due to the 2019 Coronavirus disease (COVID-19) precaution, educational systems and learners' practices from all specialties have been negatively affected, especially university students. COVID-19 has a massive effect on the practice of allied health students. The students' hospital exposure has been severely affected by the cancelation of the clinical practice. This study aims to investigate the effect of COVID-19 pandemic on the clinical practice of respiratory therapy students in different universities around Jeddah, Saudi Arabia. METHODS: Analytical cross-sectional online questionnaire was distributed from August 2021 to November 2021 to respiratory therapy students. The study's sampling technique was non-probability consecutive, and the calculated sample size was 183 participants. The survey contained questions to identify the clinical exposure of the participants. The participants included RT students in their clinical training years from King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz University, and Batterjee Medical College in Jeddah. The survey evaluated the effects of the pandemic on students' clinical practice, confidence and clinical preparation, and education. RESULTS: A total of 187 respiratory therapy students completed the questionnaire. The results revealed that 145 (77.5%) of respiratory therapy students agreed that the pandemic had disrupted their clinical practice. The percentage of respiratory therapy students who felt that they were less confident and less prepared for the next academic year due to practical session cancellation was 141 (75.4%). Out of the total students, 135 (72.2%) students reported difficulty in connecting the clinical and theoretical part because of the pandemic. CONCLUSION: The majority of respiratory therapy students from the three universities similarly reported that the pandemic disrupted their practice and interfered with their ability to connect between clinical and theoretical part. Moreover, it had affected their confidence and preparedness for the next year.

Career capital, career success, and perceived employability: evidence from medical billing companies in the post-COVID world.

BACKGROUND: This paper focuses on the concept of career construction based on the theory of conservation of resources to understand the overall effect of career capital on career success from both a subjective and objective manner through the mediating effect of perceived employability. OBJECTIVE: This study attempts to explain how different integrated aspects of career capital, including human, social, and psychological (antecedents), influence both subjective career success and objective career success (outcome) through the mediating effect of perceived employability (mediator). METHODS: Time-lagged data of 331 employees from the telehealth medical billing service companies based in Pakistan were analyzed through a structural equation modeling technique using SmartPLS software. RESULTS: The main results confirmed that career capital positively affects perceived employability and career success while perceived employability positively mediates the relationship between career capital and career success. CONCLUSION: This research responded to prior calls by explaining the positive mediating role of perceived employability (as a mediator) in explaining the positive influence of career capital on career success using different various dimensions of career capital and career success. This research included the contextual issues by testing the model in the telehealth sector of Pakistan. The findings suggested that context or occupation matters in the relationship between career capital and career success.

Unveiling commodities-financial markets intersections from a bibliometric perspective

The prominence of commodity markets within the domains of empirical finance and energy economics is well established, largely due to oil's importance and its relationship with other commodities and financial markets. In this study, we present a bibliometric examination of 437 journal articles addressing the phenomenon of commodity connectedness, spanning the period from 1994 to 2022. The research methods include a blend of qualitative and quantitative approaches, incorporating bibliometrics and content analysis. Based on the findings of the analysis, four primary research streams have been identified within the literature concerning commodity connectedness, namely (1) commodity interconnectivity, (2) the relationship between traditional commodities, renewable energy, and cryptocurrencies, (3) the relationship between oil and stock markets, and (4) studies utilizing copula methods to examine the interconnectivity between oil and financial markets. We proposed 15 future research questions for further investigation in the domain of commodity connectedness, including topics such as the impact of the post-COVID era and global uncertainties on commodity markets, how commodities can address the issue of climate change, the exponential growth of cryptocurrencies as a new financial asset, and the impact of the ongoing Russia-Ukraine conflict on commodity and financial markets.

Ongoing Strategies to Improve Antimicrobial Utilization in Hospitals across the Middle East and North Africa (MENA): Findings and Implications.

Antimicrobial resistance (AMR) is an increasing global concern, increasing costs, morbidity, and mortality. National action plans (NAPs) to minimize AMR are one of several global and national initiatives to slow down rising AMR rates. NAPs are also helping key stakeholders understand current antimicrobial utilization patterns and resistance rates. The Middle East is no exception, with high AMR rates. Antibiotic point prevalence surveys (PPS) provide a better understanding of existing antimicrobial consumption trends in hospitals and assist with the subsequent implementation of antimicrobial stewardship programs (ASPs). These are important NAP activities. We examined current hospital consumption trends across the Middle East along with documented ASPs. A narrative assessment of 24 PPS studies in the region found that, on average, more than 50% of in-patients received antibiotics, with Jordan having the highest rate of 98.1%. Published studies ranged in size from a single to 18 hospitals. The most prescribed antibiotics were ceftriaxone, metronidazole, and penicillin. In addition, significant postoperative antibiotic prescribing lasting up to five days or longer was common to avoid surgical site infections. These findings have resulted in a variety of suggested short-, medium-, and long-term actions among key stakeholders, including governments and healthcare workers, to improve and sustain future antibiotic prescribing in order to decrease AMR throughout the Middle East.

BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data.

Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge from the datasets collected from 930 COVID-19 patients hospitalized in Italy during the first wave of COVID-19 (March-June 2020). The dataset consists of twenty-five biomarkers from electronic health record and Chest X-ray (CXR) images. It is found that the system can diagnose low- or high-risk patients with an accuracy, sensitivity, and F1-score of 89.03%, 90.44%, and 89.03%, respectively. The system exhibits 6% higher accuracy than the systems that employ either CXR images or biomarker data. In addition, the system can calculate the mortality risk of high-risk patients using multivariate logistic regression-based nomogram scoring technique. Interested physicians can use the presented system to predict the early mortality risks of COVID-19 patients using the web-link: Covid-severity-grading-AI. In this case, a physician needs to input the following information: CXR image file, Lactate Dehydrogenase (LDH), Oxygen Saturation (O2%), White Blood Cells Count, C-reactive protein, and Age. This way, this study contributes to the management of COVID-19 patients by predicting early mortality risk. Supplementary Information: The online version contains supplementary material available at 10.1007/s00521-023-08606-w.

SARS-CoV-2 S1 Subunit Booster Vaccination Elicits Robust Humoral Immune Responses in Aged Mice.

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants has raised concerns about reduced vaccine effectiveness and the increased risk of infection, and while repeated homologous booster shots are recommended for elderly and immunocompromised individuals, they cannot completely protect against breakthrough infections. In our previous study, we assessed the immunogenicity of an adenovirus-based vaccine expressing SARS-CoV-2 S1 (Ad5.S1) in mice, which induced robust humoral and cellular immune responses (E. Kim, F. J. Weisel, S. C. Balmert, M. S. Khan, et al., Eur J Immunol 51:1774-1784, 2021, https://doi.org/10.1002/eji.202149167). In this follow-up study, we found that the mice had high titers of anti-S1 antibodies 1 year after vaccination, and one booster dose of the nonadjuvanted rS1Beta (recombinant S1 protein of SARS-CoV-2 Beta [B.1.351]) subunit vaccine was effective at stimulating strong long-lived S1-specific immune responses and inducing significantly high neutralizing antibodies against Wuhan, Beta, and Delta strains, with 3.6- to 19.5-fold increases. Importantly, the booster dose also elicited cross-reactive antibodies, resulting in angiotensin-converting enzyme 2 (ACE2) binding inhibition against spikes of SARS-CoV-2, including Omicron variants, persisting for >28 weeks after booster vaccination. Interestingly, the levels of neutralizing antibodies were correlated not only with the level of S1 binding IgG but also with ACE2 inhibition. Our findings suggest that the rS1Beta subunit vaccine candidate as a booster has the potential to offer cross-neutralization against broad variants and has important implications for the vaccine control of newly emerging breakthrough SARS-CoV-2 variants in elderly individuals primed with adenovirus-based vaccines like AZD1222 and Ad26.COV2.S. IMPORTANCE Vaccines have significantly reduced the incidences of severe coronavirus disease 2019 (COVID-19) cases and deaths. However, the emergence of SARS-CoV-2 variants has raised concerns about their increased transmissibility and ability to evade neutralizing antibodies, especially among elderly individuals who are at higher risks of mortality and reductions of vaccine effectiveness. To address this, a heterologous booster vaccination strategy has been considered as a solution to protect the elderly population against breakthrough infections caused by emerging variants. This study evaluated the booster effect of an S1 subunit vaccine in aged mice that had been previously primed with adenoviral vaccines, providing valuable preclinical evidence for elderly people vaccinated with the currently approved COVID-19 vaccines. This study confirms the potential for using the S1 subunit vaccine as a booster to enhance cross-neutralizing antibodies against emerging variants of concern.

Sources, analysis, and health implications of atmospheric microplastics

Microplastics (MPs) are emerging environmental contaminants pervasive in the environment. Studies have revealed that the majority of airborne MPs are in the form of fiber. Inhaled atmospheric MPs adversely impact human health, causing inflammation and oxidative stress. Atmospheric MPs may also carry hazardous chemical pollutants in addition to heavy metals. Many research studies have been conducted about MPs' presence in the environmental components, however questions about the presence and identification of atmospheric MPs remained unanswered. Based on the mentioned research gaps, this study examined the sources and abundance of MPs in the atmosphere and their generation, accumulation, and fate. The paper further studies and evaluates current methods for identifying and assessing airborne MPs and their impact on human health and the environment. According to the study findings, there are flaws and complexity in MPs assessment and technical procedures, which further challenges data comparability and dependability. In order to ensure data comparability and reliability, the abundance of atmospheric MPs needs to be expressed using a unified and standard methodology. Innovative and well-established identification methods, strategies to minimize the impacts of MPs, and appropriate steps to reduce this global pollution are required for the current state of MPs. It also provides an overview of atmospheric MPs' characteristics, sources, and airborne transmission and deposition mechanisms. Advances in bacterial degradation, sunlight-driven photocatalysts, fuels, and biodegradable plastics could revolutionize future studies on reducing plastic pollution. Future studies should include more research on the various aspects of atmospheric MPs. Despite several research studies conducted on the presence and identification of MPs in various environmental components, many questions regarding MPs in the atmosphere and from the perspectives of COVID-19 and One Health still need to be answered. This study will help the key stakeholders and policymakers in safeguarding public health and environment from the threats posed by airborne MPs.

Thirty-Day Cardiovascular Readmissions Following Discharge with COVID-19: A US Nationwide Readmission Database Analysis from the Pandemic Year 2020.

BACKGROUND: COVID-19 is known to be associated with a myriad of cardiovascular (CV) complications during acute illness, but the rates of readmissions for CV complications after COVID-19 infection are less well established. METHODS: The U.S Nationwide Readmission Database was utilized to identify COVID-19 admissions from April 1st to November 30th, 2020 using ICD-10-CM administrative claims. RESULTS: A total of 521,351 admissions for COVID-19 were identified. The all-cause 30-day readmission rate was 11.6% (n=60,262). The incidence of CV readmissions was 5.1% (n=26,725), accounting for 44.3% of all-cause 30-day readmissions. Both CV and non-CV readmissions occurred at a median of 7 days. Patients readmitted with CV causes had a higher comorbidity burden with Charlson comorbidity median score of 6. The most common CV cause of readmission was acute heart failure (HF) (8.5%) followed by acute myocardial infarction (MI) (5.2%). Venous thromboembolism and stroke during 30-day readmission occurred at a rate of 4.6% and 3.6%, respectively. Stress cardiomyopathy and acute myocarditis were less frequent with an incidence of 0.1% and 0.2%, respectively. CV readmissions were associated with higher mortality compared with non-CV readmissions (16.5% vs. 7.5%, p<0.01). Each 30-day CV readmission was associated with greater cost of care than each non-CV readmission ($13,803 vs. $10,310, p=<0.01). CONCLUSIONS: Among survivors of index COVID-19 admission, 44.7% of all 30-day readmissions were attributed to CV causes. Acute HF remains the most common cause of readmission after COVID-19, followed closely by acute MI. CV causes of readmissions remain a significant source of mortality, morbidity, and resource utilization.

COVID-19 & Problematics of Global Health Security

COVID-19 illustrates our fragile and precarious global health security. Global health governance has failed miserably to ensure health security. This study examines the problematics of health security. The findings reveal that the problem lies in the conception of health security. A narrow understanding of the term "security" has been used to define and implement health security at the national and global levels, based on the Westphalian legacy of protecting countries against external public health threats through many emergency measures. Nationalistic and sovereign norms constantly stand in the way of collaboration among states. The problem is primarily interpretation, acceptability, and implementation of the concept. This study recommends that health security be redefined from a human security paradigm. As a second step, revamp the global health governance regime through de-politicization of WHO, constructing a pandemic treaty and making 'health security a priority.

SUSTAINABLE E-COMMERCE AND ENVIRONMENTAL IMPACT ON SUSTAINABILITY

Sustainability is one of the most important socio-economic-environmental topics of the time. Consumers are increasingly demanding companies to have eco-friendly approaches that ensure sustainable ecommerce. There is a great challenge to e-commerce business, taking into account that e-commerce is connected with frequent shipping, high return rates, and non-recyclable packaging, which cause a negative impact on the environment. The studies show that ecommerce is rapidly growing and widely accepted. However, the challenge is how to sustain the growth of e-commerce in the long run considering the environmental impact. Therefore, the research gap on sustainable e-commerce should be considered in the light of the environmental impact. Qualitative, quantitative and cluster analysis methods are applied in this study. The results indicate that investing in more sustainable processes has a positive environmental impact. According to the survey, two out of three customers find online retailers adopting sustainability policies important. Only one out of four customers has decided to refuse firms that do not meet sustainability practices. Therefore, the studies of sustainable ecommerce are crucial. The findings indicate that most European countries have adopted e-commerce sustainability policies while countries in Africa have adopted only few (Kenya). Thus, theoretical and managerial implications are proposed in this study. In addition, all stakeholders should apply policies governing sustainable e-commerce and environmental impact: the government, retailers, and consumers.

ZOOM FATIGUE IN PAKISTANI UNIVERSITY TEACHERS

Zoom fatigue is defined as the tiredness, worries, or exhaustion that is caused by over use of computer-generated ways of communication. The present investigation focused on exploration of phenomenon of zoom fatigue in University Teachers. Qualitative research design followed by thematic analysis technique was core paradigm of the study. Data collection was carried out from Universities of Faisalabad, Sargodha and Lahore districts of Punjab province of Pakistan. The purposive sample comprising of participants (N=20) participant who taught at university level with only zoom platform were included. A semi-structured interview based questionnaire was used to collect the data. In thematic analysis, 07 themes and 23 sub-themes were emerged. Themes appeared in the study include zoom utilization challenges, physical health issues, psychological concerns, connectivity fret, home life opinion and social life disturbances and on-campus classe preferences. In Pakistan, zoom has been seen as less effective mode of learning particularly for poor signal coverage area inhabitants. However, this study has brought attention to certain recognised aspects, such as internet and health and mental health-related issues.