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1.
Cardiometry ; - (25):502-510, 2022.
Article in English | Web of Science | ID: covidwho-2226397

ABSTRACT

An automated model representing communicating states for a given moment in actual time is theorized in an Automated Supply Chain Dual (SC). When handling instability threats in SCs, we look at the circumstances surrounding the architecture and deployment of the digital twins. Combining models with data-driven methods show interrelationships between data risk, modeling disturbances, and performance evaluation. Digital network networking maps are distinctly visually illustrated by the SC blow and modifications amidst the COVID-19 pandemic, along with the after-event recovery method. The findings of this research complement SC risk management's science and experience by enriching forecasting and corrective findings to exploit the merits of SC modeling, quantitative predictive data, and evidence of disruptions in real-time. The supply chains have been severely impacted by the recent coronavirus pandemic, known as the COVID-19 outbreak. Due to supply failure, demand for certain items has increased significantly, while raw materials supply required to produce those items has decreased;therefore, to address these issues, this paper proposes some strategies for improving service levels for the most sought-after products, such as toilet paper, during a severe pandemic, such as COVID-19.

2.
Working with Older People ; 2022.
Article in English | Scopus | ID: covidwho-1752321

ABSTRACT

Purpose: The purpose of this study is to explore the effect on distress of senior citizen’s anxiety levels in quarantine during the second wave of COVID-19 pandemic. This is a descriptive study, in which data were collected using the online survey method, a sociodemographic form, a semi-structured data form for second wave COVID-19, the anxiety-level scale and the distress scale. Design/methodology/approach: Data were collected during the period when a curfew was imposed for the senior citizen. Data were analyzed using a structural equation model. According to the structural equation model, anxiety was determined as a predictor of distress. Findings: The anxiety levels of the senior citizen who were 60–69 years old, female, single;had inadequate knowledge about the pandemic;and had not encountered a similar pandemic before considered that family bonding was affected negatively, so they became alone and reported that they became bored, exhausted and distressed during the pandemic, which increased their distress levels. Anxiety affects distress in the senior citizens. Practical implications: One of the policy implications of this study is that governments should provide behavioral support to citizens during a pandemic. For example, short-term home-based psychological interventions should be developed to reduce the negative effects of the second wave of COVID-19 pandemic on mental health. Originality/value: The anxiety levels increased distress levels for those senior citizens who considered their information about the second wave of COVID-19 insufficient;had hyper-emotionality;longed for their families;and felt tense, overwhelmed and lonely during the pandemic. In addition, factors such as constraints of flexibilities, prevention of socialization and decreased physical movements also affect distress in senior citizens. © 2022, Emerald Publishing Limited.

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