An integrative framework for building organizational resilience through environmental scanning: a view of organizational information processing theory: MRN

PurposeThis study aims to investigate the impact of environmental scanning on organizational resilience through the mediation of organizational learning and innovation based on organizational information processing theory (OIPT) within Egyptian small and medium enterprises (SMEs) during the COVID-19 pandemic.Design/methodology/approachThis study adopted a cross-sectional design to collect the data used to carry out mediation analysis. A self-administered questionnaire was used to collect data from a sample consisting of 249 Egyptian SMEs. The smart partial least square structural equation modeling (PLS-SEM) technique was adopted to test the hypotheses.FindingsEnvironmental scanning does not have a direct effect on organizational resilience. However, organizational learning and innovation fully mediate the relationship between environmental scanning and organizational resilience.Research limitations/implicationsThe sample size was small, covering only Egyptian manufacturing SMEs. The results may differ in the service sector and other countries. The study was cross-sectional which is limited to tracing the long-term effects of environmental scanning, organizational learning and innovation on organizational resilience. Accordingly, a longitudinal study may be undertaken.Practical implicationsManagers in Egyptian SMEs should use signals from environmental scanning activities as input for learning and transforming business processes through innovation to develop organizational resilience.Originality/valueThis study is the first to investigate the role of environmental scanning in building organizational resilience through organizational learning and innovation based on the perspective of OIPT within Egyptian SMEs during the COVID-19 crisis.

Study of musculoskeletal problems among long-term computer users in Ahmedabad City

Background: COVID-19 made many changes in life of persons and even after post COVID era these changes are integral to our life. Some of the changes were online classes, work from home, and online gaming. Computer work leads to static position of neck, shoulders, and upper limbs for extended hours. This leads to higher risk of developing visual, musculoskeletal and psychological problems. Aims and Objectives: The present study was carried out to determine prevalence of musculoskeletal health disorders, assess work distribution, and their probable interaction with musculoskeletal health problems in computer users of Ahmedabad city. Material(s) and Method(s): A cross-sectional study was carried out over a period of 1-year time among 800 participants to study the musculoskeletal problems among computer users. Result(s): Out of 800 participants, 76.75% of participants had any computer related musculoskeletal problem. If participants work more than 4 h in a single spell prevalence of musculoskeletal problems was 82.95%. Regular exercise has significant role in preventing computer-related musculoskeletal problems. Conclusion(s): Computer-related musculoskeletal problems have relation with number of hours spent in single spell, total daily working hours, and years of computer-related work.Copyright © 2023, Mr Bhawani Singh. All rights reserved.

Efforts to Optimize Clinical Trial Management by Revising Deviation Reports and Classifying Deviation Cases for Efficient Clinical Trial Quality Improvement at Asahikawa Medical University Hospital.

Face-to-face communication during on-site monitoring is important for clinical trial quality assurance. However, with the coronavirus disease early 2020 pandemic, medical institutions placed restrictions on hospital visits to secure their medical systems. Asahikawa Medical University Hospital similarly established restrictions on outpatient and inpatient visits and legal restrictions on outside vendors. Therefore, the frequency of on-site monitoring of clinical trials conducted at our hospital was reduced. Since there was no sign of convergence at the infection units even after 2 years, we investigated the frequency of on-site monitoring and the frequency of clinical trial deviations in the review of the system. In addition, although a clinical trial deviation report form (previous form)was prepared in the fiscal year 2019, there were many free descriptions, and many deviation reports were difficult to understand. Similarly, there were cases where deviations were not recorded on the deviation report form but only on article records (source documents), such as electronic medical records after consultation with the sponsor, and deviations were not recorded in a uniform format. Thus, the hospital experienced difficulty tabulating and classifying the number of deviation occurrences. Based on this experience, this report describes the progress of revising the clinical trial deviation report, clarifying the items to be included in the report, and establishing a system to clarify the process related to clinical trial deviation occurrences.Copyright: © 2023 the Japanese Society of Clinical Pharmacology and Therapeutics (JSCPT).

Political Identity, Risk Perception, and Sport Participation: Conditional Process Analysis of Golfers' Revisit Intent During the COVID Pandemic

A first-stage moderated mediation model consisting of general risk awareness of COVID-19, perceived risk of playing golf, and revisit intention was introduced to specify when and how political orientation influences an individual's decision to play golf again. Findings are discussed in the context of a dual process model of political identity, and the implications for practice as well as future research are presented. Consumers consciously or subconsciously conduct risk-benefit analysis for consumption choices, whether it is a careful piecemeal examination or a heuristic probe (Hespanhol et al., 2015). [...]golf was considered a safer recreational activity with relatively little risk of transmission than other activities where social distancing was either difficult or impossible (Robinson et al., 2021). [...]it is worth exploring the relationship between general risk awareness of the disease and domain-specific risk and how they influence individuals' decisions to play golf.

Geographic Information Systems for Facilitating Audits of the Urban Built Environment

Data collection and large-scale urban audits are challenging and can be time consuming processes. Geographic information systems can extract and combine relevant data that can be used as input to calculation tools that provide results and quantify indicators with sufficient spatial analysis to facilitate the local decision-making process for building renovations and sustainability assessment. This work presents an open-access tool that offers an automated process that can be used to audit an urban area in order to extract relevant information about the characteristics of the built environment, analyze the building characteristics to evaluate energy performance, assess the potential for the installation of photovoltaics on available building rooftops, and quantify ground permeability. A case study is also presented to demonstrate data collection and processing for an urban city block, and the relevant results are elaborated upon. The method is easily replicable and is based on open data and non-commercial tools.

Identification of Facebook posts on nephrology-related terms that benefit patient outreach

Objective: The impact of social media on public health has been examined in various studies. However, none have explored user engagement based on the type of Facebook posts related to renal disease. Therefore, the present study sought to determine which type of nephrology-related posts have greater user engagement. Setting(s): Facebook pages. Method(s): The posts on a specific Facebook page curated by a team of nephrologists in Malaysia were examined in this cross-sectional study. The type of post, likes, comments, shares of a post and reach of a post were used for data analysis. Analysis of variance was used to quantify the relative contribution of each independent variable to the odds of the post being highly liked or shared. The Kruskal-Wallis test was used to compare links, photos, shared videos, status and videos for parameters such as reach, the number of times a specific piece of content has been displayed on a screen (impressions), and user engagement. Result(s): Shared videos and photos received the highest median reach of 5,862 and 5,880, respectively. People who 'liked' the page in 2019, 2020 and 2021 numbered 193, 4,196 and 2,835, respectively. Among the types of content on the Facebook page, photos and shared videos received the highest median lifetime reach of the post compared to links, status and videos in terms of 'people who liked the page'. Conclusion(s): The study findings suggest that posting a video or photo maximises the chance of engagement and meaningfully impacts public health outcomes.Copyright © The Author(s) 2023.

Exploring the Impact of Education Strategies on Individuals' Attitude Towards Telemental Health Service: Findings from a Survey Experiment Study.

While COVID-19 has caused significant mental health consequences, telemental health services have the potential to mitigate this problem. But due to the sensitive nature of mental health issues, such services are seriously underutilized. Based on an integrated variance-process theoretical framework, this study examines the impact of applying different education strategies on individuals' attitude toward telemental health and subsequently their intention to adopt telemental health. Two different education videos on telemental health (peer- or professional-narrated) were developed based on social identity theory. A survey experiment study was conducted at a major historically black university, with 282 student participants randomly assigned to the two education videos. Individual perceptions of the telemental health service (usefulness, ease of use, subjective norms, relative advantage, trust, and stigma) and their attitude and usage intention data were collected. The results show that ease of use, subjective norms, trust, relative advantage, and stigma significantly influence individuals' attitude toward telemental health in the peer-narrated video group. Only trust and relative advantage were found to be significant factors toward attitude in the professional-narrated video group. This study highlights the importance of designing education strategies and builds a theoretical foundation for understanding the nuanced differences in individuals' responsiveness to different educational materials.

Research progress on influence of environmental and meteorological parameters on transmission of coronavirus disease 2019

Novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) is spreading rapidly around the world and has become a global pandemic. Meteorological factors have been recognized as one of the critical factors that influence the epidemiology and transmission of infectious diseases. In this context, the World Meteorological Organization and scholars at home and abroad have paid extensive attention to the relationships of environment and meteorology with COVID-19. This paper systematically collected and sorted out relevant domestic and foreign studies, and reviewed the latest research progress on the impact of environmental and meteorological factors on COVID-19, classifying them into typical meteorological factors (such as temperature, humidity, and wind speed), local environmental factors (such as indoor enclosed environment, ventilation, disinfection, and air conditioning), and air pollution. Current research evidence suggests that typical meteorological factors, local environmental factors, and air pollutants are closely related to the transmission of COVID-19. However, the results of different studies are still divergent due to uncertainty about the influencing mechanism, and differences in research areas and methods. This review elucidated the importance of environmental and meteorological factors to the spread of COVID-19, and provided useful implications for the control of further large-scale transmission of COVID-19 and the development of prevention and control strategies under different environmental and meteorological conditions.Copyright © 2022, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.

Academic Framing of Computational Representations in the Virtual Classroom during Covid-19

Keywords: Agenda;Framing;Social representations;Expectations;Computer Introduction The development of research projects often requires the competition of computers, software and data analysis techniques, but the acceptance, appropriation and intensive use of them presents limitations in terms of utility and risk expectations [1]. Some explanatory models of human capital formation suggest that the formation of talent or intellectual capital in intangible assets of organizations is due to habitus [3]. [...]the predictive models of the social representations of these determinants have not been observed in the explanation of the relations with the intensive use of technologies, devices and electronic networks. [...]the objective of the present work was to establish the academic link relative to the social representations of computer computers, considering the dimensions of the organizational, educational and cognitive models. Methodology A documentary, retrospective and exploratory study was carried out with a selection of sources indexed to international repositories Table 1, considering the indexing period from 2019 to 2021, as well as the search by allusive keywords for negative (stigma, risk, rejection) and positive (utility, acceptance, appropriation) (Table 1) Content analysis and opinion matrices were used, considering the inclusion of findings, ratings and comparisons of coded data such as;-1 for negative dimensions (stigma, risk and rejection) and +1 for positive dimensions (utility, acceptance and appropriation) The qualitative data analysis package was used, considering equation (1) in which the contingency relations and the proportions of probabilities of taking risks in permissible thresholds of human capital formation stand out The contrast of the null hypotheses was made from the estimation of these parameters.

Air quality changes in Shijiazhuang during COVID-19 outbreak

[Background] The coronavirus disease 2019 (COVID-19) was first detected in December 2019. To combat the disease, a series of strict measures were adopted across the country, which led of improved air quality. This provides an opportunity to discuss the impact of human activities on air quality. [Objective] This study investigates the air quality changes in Shijiazhuang, and analyzes the impacts of epidemic prevention and control measures on air quality, so as to provide reference and ideas for further improving air quality and prevention and control measures. [Methods] The air quality data were collected online from https://www.zq12369.com/ and https://aqicn.org/city/shijiazhuang/cn/. Comparisons in air quality index (AQI) and the concentrations of air pollutants (PM2.5, PM10, SO2, CO, NO2, and O3) were made between the period from December 2019 to June 2020 (reference) and the same period from 2016 to 2019 by t-test and chi-square test. [Results] The daily average AQI dropped by 25.38% in Shijiazhuang during the COVID-19 prevention and control compared with the some period from 2016 to 2019 (t=6.28, P < 0.05). The proportions of pollution days during the COVID-19 outbreak in Shijiazhuang were PM2.5 (44.56%), O3 (31.09%), PM10 (23.83%), and NO2 (2.59%) successively, the pollution days of PM10 decreased significantly (chi2=3.86, P < 0.05) compared with 2016-2019, but during traffic lockdown the numbers of pollution days of PM2.5 and in the mid stage of prevention the number of pollution days of O3 increased (P < 0.05). Compared with the control period, the concentrations of the six air pollutants decreased to varying degrees (P < 0.05), especially SO2 dropped by 55.36%. [Conclusion] The measures taken for COVID-19 control and prevention have reduced the pollution sources and emissions, which resulted in better general air quality of Shijiazhuang City, but have aggravated the pollution of O3 and other pollutants. It is necessary to further explore the causes for the aggravation of O3 pollution in order to formulate reasonable air quality control strategies.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.

Application of ultrasound-guided peripheral arterial puncture in severe patients with Coronavirus disease 2019 under three-level protection

Objective To explore the application of ultrasound-guided arterial line placement in severe patients with COVID-19. Methods From February to April 2020, we retrospectively collected and analyzed the clinical data of critical patients with COVID-19 with an indwelling peripheral arterial catheter treated by the medical team of Peking Union Medical College Hospital. Patients with ultrasound-guided peripheral arterial catheterization were taken as the study group, while patients whose arterial catheter was placed by traditional palpation were taken as the control group. The puncture condition and complication rate were compared between the two groups. Results A total of 60 severe patients with COVID-19 who met the inclusion and exclusion criteria were enrolled in this study. There were 30 cases in the study group and 30 cases in the control group. In the study group, the success rate of the first catheterization of the peripheral artery (63.3% vs. 26.7%) and the total puncture success rate [(79.43+/- 25.79)% vs. (53.07+/-30.21)%] were higher than those in the control group (all P < 0.05), the puncture times(1.43+/-0.56 vs. 2.50+/-1.28) were less than those of the control group (P < 0.05). The rates of 24-hour disuse (6.7% vs. 30.0%), local hematoma (10.0% vs. 36.7%), occlusion, and tortuous (3.3% vs. 40.0%) in the study group were lower than those in the control group (all P < 0.05). Conclusion Under the three-level protection, ultrasound-guided arterial catheter placement for severe patients with COVID-19 can improve the success rate of catheter placement, reduce puncture times, and reduce the incidence of complications.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.

The effect of etiotropic therapy on the formation of immune disorders in patients with COVID-19

The course of a new coronavirus infection is associated with immune system disorders during the acute stage of the desease. Administration of effective etiotropic drugs contributes to early elimination of the virus. At the same time, risks of post-COVID immune system disorders are minimized. The aim of the study was to investigate features of the immune response formation against the background of etiotropic therapy in patients who underwent COVID-19. Material and methods. An observational retrospective comparative study was conducted. The study involved patients with COVID-19 3 months after treatment with etiotropic drugs (riamilovir or umifenovir). The study involved 87 patients (52 women and 35 men) with varying degrees of COVID-19 severity. In accordance with the study design, participants were divided into 2 groups: the first group - 41 patients (received riamilovir during the acute period of the disease);the second group - 46 patients (received umifenovir in the acute period of the disease). Statistical processing of the results was carried out using the Statistica 8.0 software package. Extensive indicators, median (Me) and interquarter range Q25-Q75 were calculated. Statistical significance between the indicators of independent samples was assessed by Mann-Whitney nonparametric test and Chi-square test. P-values below 0.05 were considered statistically significant. Results and discussion. Analysis of clinical and laboratory data showed that after suffering COVID-19, not all indicators of the immune system in patients who had had COVID-19 recovered to control values. However, it is noted that in patients of the main group, which using riamilovir, compared to the comparison group was less likely to be diagnosed with chronic systemic syndrome, inflammation, dysregulation of the cellular link of immunity in the early post-COVID period.Copyright © Eco-Vector, 2022.

Innovative high-fidelity simulation for vaccination training of pharmacist including emergency cases - a randomised controlled study

IntroductionRecently, pharmacists in Germany were allowed to administer influenza and COVID-19 vaccines for people aged 12 years and older in order to increase vaccination coverage rates. To adapt pharmacy curriculum for clinical practice, an innovative, high level vaccination training course comprising clinical skills, techniques required for level of competence was developed with participants interacting either with a high-fidelity simulator or low-fidelity injection pad. Clinical scenarios to manage adverse events were also implemented.MethodsA randomized controlled trial using a pre-post-design with pharmacy undergraduates alongside with a theoretical part was performed. The intervention group interacted with a high-fidelity simulator, while the control group was trained with low-fidelity injection pads. Before and after the respective training each participant went through an objective structured clinical examination (OSCE) and each participant completed a self-assessment questionnaire and knowledge quiz.ResultsOSCE Score were raised through an analytical checklist examining skills in anamnesis, patient information, vaccination process, and handling emergency case. Both training methods showed a significant (p<0,01) increase of skills but a significant (p<0,01) greater increase in the intervention group compared to the control group, particularly in vaccination process (p=0,007). Both Groups showed a similar increase of self-assessment score raised through a 6-point-Likert scale, and no significant differences were observed in the quizzes.ConclusionsHigh fidelity simulation proves to be an appropriate tool to train pharmacy students for vaccine administration, as a new pharmaceutical service and enable the students to recognize and manage adverse events.

Integrated surveillance and early warning system for emerging infectious diseases based on One Health concept: Structures and innovations.

One Health is an upgrade and optimization of health concepts, which recognizes the integrated health of the human-animal-environment. It emphasizes the use of interdisciplinary collaboration, multi-sectoral coordination, and multi-organizational One Health approaches to solve scientific questions. The surveillance and early warning system is the basis of public health emergency prevention and control. The COVID-19 pandemic and the emerging infectious disease (EID) have put great challenges on the existing surveillance and early warning systems worldwide. Guided by the concept of One Health, we attempt to build a new pattern of integrated surveillance and early warning system for EID. We will detail the system including the One Health-based organizational structure, zoonotic and environmental science surveillance network, EID reporting process, and support and guarantee from education and policy. The integrated surveillance and early warning system for EID constructed here has practical and application prospects, and will provide guidance for the prevention and control of COVID-19 and the possible EID in the future.Copyright © 2022, National Institute of Parasitic Diseases. All rights reserved.

A prospective study of acute sinusitis, clinical features and modalities of management in adults, Sudan

Background: Acute sinusitis is not an uncommon disease that manifests with inflammation of the mucosal lining of the paranasal sinuses. It has varied etiologies including viral, bacterial, fungal, and allergic. Anatomical variations, trauma, auto-immunity, diabetes mellitus, and dental procedures are predisposing factors. With the wide variation in the etiological factors, the management could be tricky. This study is quite relevant with the advent of the relentlessly persisting COVID-19 pandemic which affects the upper respiratory tract as well. Method(s): This is a descriptive hospital-based prospective study conducted at the Khartoum ENT Teaching Hospital, Ibnsina Teaching Hospital, Omdurman Military Hospital, and Omdurman Teaching Hospital in Khartoum State in the period from March 2020 to February 2021. The study included all patients 18 years and older diagnosed with acute sinusitis. The data was collected by a well-structured questionnaire designed to meet the objectives of the study and analyzed using SPSS 20. Any COVID-19 suspect is excluded from the study. Result(s): The total number of patients was 109;of them, 59 (54.1%) were females and 50 (45.9%) were males, and the female to male ratio was 1.18:1. One hundred seven (98.2%) patients received medical treatment and two patients (1.8%) did take the medications. Eighty-one patients (74.3%) were cured with medical treatment and only 28 patients (25.7%) needed surgical intervention. The age group from 25 to 40 years old was the most affected, accounting for 68 patients (62.4%), and the above 60 years old (3.7%) was the least affected group. Conclusion(s): Acute sinusitis is not an uncommon disease, if addressed properly and timely is medically treatable in most cases apart from complicated cases. This study shows that the active working ages (25-40) were the most affected. Few patients needed surgery (FESS). Negligence could result in complications. Diseases like COVID-19 affect the upper respiratory tract, and there is a similarity in symptoms, and in the advent of the COVID-19 pandemic nowadays, differentiation is of paramount importance.Copyright © 2022, The Author(s).

The impact of procurement digitalization on supply chain resilience: empirical evidence from Finland

PurposeThe purpose of this study is to investigate the role of procurement digitalization in reducing uncertainty in the supply chain (SC) and how it relates to mitigating SC risks and improving SC resilience (SCRES).Design/methodology/approachBased on survey data collected from the procurement functions of 147 Finnish firms, this study conceptualizes data analytics, information sharing and procurement process digitalization as drivers of procurement digitalization and investigates their impact on SC risk management and SCRES by using partial least squares path modeling.FindingsProcurement digitalization through data analytics and digital process maturity requires effective information sharing among SC partners and SC risk management to be able to improve SCRES. Procurement digitalization increases information-processing capacities and reduces uncertainty in the SC.Originality/valueThis study contributes to the understanding on the relationships between procurement digitalization and SCRES.

Improving supply chain resilience from the perspective of information processing theory

PurposeSupply chain resilience (SCR) has attracted much attention in the context of the high uncertainty caused by the coronavirus disease 2019 (COVID-19), local regional conflicts and natural disasters. Based on information processing theory (IPT), this study investigates the role of supply chain information processing capability in enhancing SCR through supply chain governance (SCG), under different conditions of environmental uncertainty.Design/methodology/approachThe hypothetical model is tested by using hierarchical regression on the primary samples collected from the Chinese manufacturing industry.FindingsThe results indicate that supply chain information processing capability has a significant positive effect on SCR. Also, SCG plays a mediating role between supply chain information processing capability and SCR. Furthermore, environmental uncertainty positively moderates the effect of supply chain information acquisition and supply chain information analysis on relational governance. However, environmental uncertainty only positively moderates the effect of supply chain information analysis on contractual governance.Originality/valueThis is the first study to explain the effect of information processing capability on SCR from the supply chain perspective, while also exploring the mediating role of SCG between SCR and supply chain information processing capacity, based on IPT.

Effects of Knowledge Anxiety and Cognitive Processing Bias on Brand Avoidance during COVID-19: The Mediating Role of Attachment Anxiety and Herd Mentality

The COVID-19 pandemic has led to an increase in users' knowledge anxiety, which has been further intensified by the diversity of information platforms and the emphasis on digital personal branding. While previous research has examined the relationship between digital personal branding and negative emotions, little is known about the mechanisms behind negative reactions to digital personal branding from non-direct factors or users' spontaneous negative emotions. To address this gap, this study draws on cognitive appraisal theory (CAT) and social identity theory (SIT) to explore the relationships between users' knowledge anxiety, cognitive processing biases, and brand avoidance, and the impacts of herding behavior and attachment anxiety on these relationships. A sample of 530 consumers completed an online survey, and the data were analyzed using a partial least squares path model. The results revealed that user knowledge anxiety directly and indirectly influenced brand avoidance behavior through cognitive processing bias, and attachment anxiety moderated the path between cognitive processing bias and user knowledge anxiety. However, herding behavior was not found to be significant in online knowledge sharing communities.

Promoting the Safety of Pregnant Women: Information Management System Strategy for the COVID-19 Vaccination

Background: Promoting the immunity of pregnant women during the Covid-19 pandemic through vaccination against SARS-CoV-2 infection is one of the main challenges. It is important to manage the information related to receiving the vaccine and its possible complications for surveillance of its safety and to deal with the challenges. Based on this, it is necessary to design a national information management system for the COVID-19 vaccination. Objective(s): To promote the safety of pregnant women by providing a national model of an information management system for pregnant women's COVID-19 vaccination in Iran. Method(s): The present research was of applied descriptive type. Based on the review of articles and information sources and a com-parative study of the information management and surveillance system for the vaccination of pregnant women in developed coun-tries, and according to the country's organizational structure, the national model of the information management system for pregnant women's COVID-19 vaccination was designed for Iran. Then the validation of the model was examined in two steps using the Delphi technique. Finally, after analyzing the data, the final model was presented. Result(s): The findings were categorized into two main groups, including the structural components (responsible organization and databases, surveillance center, participating organizations, and data sources) and informational process (data set, data collection, quality control, data exchanges, data processing, reporting) that reached 100% consensus of experts. Conclusion(s): For developing IMS for the COVID-19 vaccination of pregnant women, it is necessary to specify the responsible organization and the participating centers, create surveillance centers and databases, and define the information management system process.Copyright © 2023, Author(s).