A Structural Equation Model to Analyze the Effects of COVID-19 Pandemic Risks on Project Success: Contractors' Perspectives

The purpose of this paper is to capture the direct and indirect effects of COVID-19 emerging risks on construction projects' success in developing countries from the contractors' perspective. To achieve this, we collected data from Iraqi construction industry and conducted the following multistage research methodology: (1) preliminary investigation with four construction contractors to identify the success indicators of construction projects;(2) focus group session with 11 experts to identify the COVID-19 emerging risks for the construction industry;(3) semistructured interviews with seven construction experts to develop several hypotheses on the effect of COVID-19 emerging risks on project success;(4) survey data collection from 99 construction contractors;and (5) development of a structural equation model (SEM) to analyze the effects of COVID-19 emerging risks on project success. The results of the SEM analysis show that financial market (FM)-related risks, supply chain operations (SCO)-related risks, health and safety of construction workforce (HSCW)-related risks, organizational implications (OI)-related risks, and contractual implications (CI)-related risks have a significant impact on construction projects success. CI-related risks have the strongest total effects on project success, followed by OI-related risks, FM-related risks, HSCW-related risks, and SCO-related risks, respectively. The results also emphasis the significant mediation role of CI between COVID-19 emerging risks and project success. This study contributes to the body of knowledge and contracting companies by helping researchers and construction contractors to better understand how the key risk factors emerging from extreme conditions like the COVID-19 pandemic affect construction projects' success and may serve as a guideline for developing effective response strategies. © 2023 American Society of Civil Engineers.

Cyber Pandemics

The focus of this special issue is on studying the consequences of pandemics and cyber pandemics on privacy and trust both in the digital and the real worlds. In the aftermath of the recent COVID-19 pandemic that has shaken several aspects of our lives for almost two years of time, preliminary research indicates that the technological capabilities and the data that have been deployed and exploited to contain the spread of the disease may have affected people's privacy, sense of security, as well as their trust in their governing institutions. The enclosed articles explore both the effectiveness and the impacts of some of the deployed technologies in the handling of the COVID-19 pandemic on people's privacy as well as on their security and related risks. © 1997-2012 IEEE.

A PRODUCT SERVICE SUPPLY CHAIN NETWORK EQUILIBRIUM CONSIDERING RISK MANAGEMENT IN THE CONTEXT OF COVID-19 PANDEMIC

This paper studies the equilibrium decision-making problem of product service supply chain (PSSC) network under the impact of COVID-19 related risks. The PSSC is composed of service-oriented transformation of manufacturing enterprises to sell product service systems (PSSs) to customers. So, under the impact of COVID-19, the network faces dual risks of products and services. This paper constructs the PSSC network of raw material suppliers, service providers, manufacturing service integrators and demand markets. Through variational inequalities, a network equilibrium model of PSSC considering risk management was established, and their decision-making problems were discussed. Three numerical examples were used to analyse the impact of risk management on the supply chain network at various levels. The results show that the risk management of upstream and downstream enterprises will have mutual in uence, and the cost input of service risk management will benefit the entire PSSC network. Therefore, through the diversified development and improvement of services, the market demand for PSSs can be increased. © 2023,Journal of Industrial and Management Optimization. All Rights Reserved.

COVID-19 Risk Perceptions Among College Students: Social Media, National News Media, and Indirect Experience.

This study explored how national news media use and social media use were related to indirect experience of COVID-19 that was associated with higher personal risk perception. Based on a survey of 358 college students, we found that national news media use was unrelated to indirect experience, and its relationship to risk perception was limited to the societal level. Instagram use, in contrast, was related to indirect experience and in turn related to higher personal risk perception. However, without the mediating role of indirect experience, Instagram use was related to lower personal risk perception. Drawing upon these findings, we discuss the importance of social networks (i.e., individuals to whom people are connected in everyday life) in studies of risk perception.

Towards Multidimensional Infection Risk Monitoring

Many employees and employers are negatively affected by the ongoing Coronavirus disease pandemic. Although the infection spread has decreased during the summer 2022, the possibility of being infected still is high. There are plenty of industries that are forced to work onsite, and they must ensure a safe work environment by mitigating related risks and their negative effects on the health of employees and enterprise business continuity. In order to take control over the situation in offices, shops, factories and other working places, it is proposed to develop a Covid-19-safe workplace platform for infection risks monitoring and minimization. The platform is based on a risk model, which can help an employer to follow the rules and create safe work conditions for his employees. Scientific articles, safe work environment requirements and recommendations connected to the Covid-19 infection, its spread and control factors were studied and considered. As a result the risk model that has data about risks, their impact, hazard and mitigation measures was created. © 2022 IEEE.

On the Compliance of Platforms with Children’s Privacy and Protection Requirements - An Analysis of TikTok

During the Covid-19 pandemic, social media platforms such as Youtube Kids and TikTok perceived a growing audience, as their videos became part of child and preteen culture. However, the children’s lack of digital literacy limits their understanding of privacy-related risks on these platforms. Besides, the misleading design of platforms services (e.g. features that favour advertising partners and retain young audiences in the ecosystem) together with limited enforcement of policies and terms of use by tech companies affect children’s protection. This paper presents 18 legal requirements (LR) for children’s privacy and protection by platforms. We illustrate their application by examining TikTok, the most popular social media platform among children. We collected TikTok’s documentation and evidence from relevant media and IT news websites to classify the compliance of its practices with these LR, which can guide platforms in implementing children’s privacy and data protection. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Effectiveness and future implications of COVID-19-related risk stratification for managing retinopathy of prematurity: The Indian twin cities retinopathy of prematurity study report number 10.

Purpose: To evaluate the effectiveness and future implications of COVID-related risk stratification for managing retinopathy of prematurity (ROP). Methods: A prospective study was conducted at a tertiary eye care center from the beginning of the lockdown in India from 23 March 2020 till the end of the first phase of lockdown on 29 May 2020. We evaluated 200 prematurely born infants (< 34 weeks of gestational age) using the new safety guideline protocols for low-risk babies developed in conjunction with the Indian ROP Society for care during the COVID-19 pandemic. Low risk included babies born at more than 30 weeks of gestational age, post menstrual age 34 weeks or above at presentation, more than 1000 grams of birth weight, and stable systemically with good weight gain. Results: New guidelines were implemented in 106 (53%) infants who were low risk while 94 (47%) infants with high risk were followed up as per the old guidelines. Out of the 106 infants (212 eyes) managed by the new guidelines, good outcome (group 1) was seen in 102 (96.2%) infants. Twenty-seven of the 102 infants had some form of ROP and 5 of these infants needed treatment. None of the low-risk babies with no detachment at presentation managed by new guidelines required surgery later (group 2). Two (1.9%) infants came with retinal detachment at presentation and underwent successful surgery (group 3) and two infants (1.9%) were lost to follow up. Conclusion: New risk stratification during the COVID-19 pandemic was an efficient and safe strategy in managing low-risk ROP babies.

Obsessive-compulsive symptoms among the general population during the first COVID-19 epidemic wave in Italy.

This study investigated obsessive-compulsive symptoms (OCS) in the Italian general population during the initial stage of the pandemic and the impact of COVID-19 related potential risk factors. A web-based survey was spread throughout the internet between March 27th and April 9th, 2020. Twenty thousand two hundred forty-one individuals completed the questionnaire, 80.6% women. The Dimensional Obsessive-Compulsive Scale (DOCS) was included to assess the severity of the obsessive-compulsive symptom domains. Further, selected outcomes were depression, anxiety, insomnia, perceived stress, and COVID-19 related stressful life events. A panel of logistic or linear regression analyses was conducted to explore the impact of COVID-19 related risk factors, socio-demographic variables, and mental health outcomes on OCS. A total of 7879 subjects (38,9%) reported clinically relevant OCS. Specifically, more than half of the sample (52%) reported clinically relevant symptoms in the Contamination domain, 32.5% in the Responsibility domain, 29.9% in the Unacceptable thoughts domain, and 28.6 in the Symmetry/Ordering domain. Being a woman was associated with OCS, except for Symmetry/Ordering symptoms. A lower education level and younger age were associated with OCS. Moreover, depression, anxiety, perceived stress symptoms, insomnia, and different COVID-19 related stressful events were associated with OCS. We found high rates of OCS, particularly in the contamination domain, in the Italian general population exposed to the first COVID-19 epidemic wave and COVID-19 related risk factors. These findings suggest the need to investigate further the trajectories of OCS in the general population along with the long-term socio-economic impact of the pandemic.

Climate scenario analysis for pension schemes: a UK case study

This paper demonstrates how climate scenario analysis can be used for forward-looking assessment of the risks and opportunities for financial institutions, using a case study for a UK defined benefit pension scheme. It uses a top-down modelling tool developed by Ortec Finance in partnership with Cambridge Econometrics to explore the possible impacts of three plausible (not extreme) climate pathways of the scheme’s assets and liabilities. It finds that the funding risks are greater under all three climate pathways than under the climate-uninformed base scenario. In the absence of changes to the investment strategy or recovery plan, the time taken to reach full funding is increased by three to nine years. Given that most models currently used by actuaries do not make explicit adjustments for climate change, these modelled results suggest it is quite likely that pension schemes are systematically underestimating the funding risks they face.

Frequency of Anti-SARS-CoV-2 Antibodies in Various Occupational Sectors in an Industrialized Area of Northern Italy from May to October 2020.

The results of a voluntary screening campaign for the presence of anti-SARS-CoV-2 serum antibodies are presented, performed on workers in the highly industrialized province of Modena in northern Italy in the period 18 May-5 October 2020. The employment activities of the subjects that tested positive for anti-SARS-CoV-2 IgM and/or IgG antibodies were determined and classified using the International Standard Industrial Classification of All Economic Activities (ISIC). The distribution across different sectors was compared to the proportion of workers employed in the same sectors in the province of Modena as a whole. Workers with anti-SARS-CoV-2 serum antibodies were mainly employed in manufacturing (60%), trade (12%), transportation (9%), scientific and technical activities (5%), and arts, entertainment and recreation activities (4.5%). Within the manufacturing sector, a cluster of workers with positive serological tests was observed in the meat processing sector, confirming recent data showing a possible increased risk of SARS-CoV-2 infection in these workers.

Age-related risk factors and severity of SARS-CoV-2 infection: a systematic review and meta-analysis.

OBJECTIVES: We aimed to estimate the prevalence of reported symptoms and comorbidities, and investigate the factors associated with age of the SARS-CoV-2 infected patients. METHODS: We performed a systematic review with meta-analysis (PROSPERO registration: CRD42020182677) where the databases (PubMed, SCOPUS, EMBASE, WHO, Semantic Scholar, and COVID-19 Primer) were searched for clinical studies published from January to April, 2020. Initially, the pooled prevalence of symptoms and comorbidity of COVID-19 patients were estimated using random effect model and the age -related factors were identified performing multivariate analysis [factor analysis]. RESULTS: Twenty-nine articles with 4,884 COVID-19 patients were included in this study. Altogether, we found 33 symptoms and 44 comorbidities where the most frequent 19 symptoms and 11 comorbidities were included in the meta-analysis. The fever (84%), cough/dry cough (61%), and fatigue/weakness (42%) were found more prevalent while acute respiratory distress syndrome, hypertension and diabetes were the most prevalent comorbid condition. The factor analysis showed positive association between a cluster of symptoms and comorbidities with patients' age. The symptoms comprising fever, dyspnea/shortness of breath, nausea, vomiting, abdominal pain, dizziness, anorexia and pharyngalgia; and the comorbidities including diabetes, hypertension, coronary heart disease, COPD/lung disease and ARDS were the factors positively associated with COVID-19 patient's age. CONCLUSION: As an unique effort, this study found a group of symptoms (fever, dyspnea/shortness of breath, nausea, vomiting, abdominal pain, dizziness, anorexia and pharyngalgia) and comorbidities (diabetes, hypertension, coronary heart disease, COPD/lung disease and ARDS), associated with the age of COVID-19 infected patients.