Risk Perception Mental Health Impact and Coping Strategies during Covid 19 Pandemic among Health Care Workers

Objective: To assess the risk perception mental health impact and coping strategies during Covid-19 pandemic among health care workers. Study Design: Cross-sectional study. Place and Duration of Study: Department of Community Dentistry, Frontier Medical & Dental College, Abbottabad from 1st January 2021 to 31st December 2021. Methodology: Two hundred health care workers were given questionnaire for complete detailing their information regarding demographic, occupational, anxiety scoring and depression state. Results: The age of the health care workers was mostly within 26-40 years followed by greater than 18 years. It was observed that anxiety was presented at a mild score within doctors and other health care worker staff while it was seen to a moderate level within the nursing health care workers. Furthermore, the gender distribution of anxiety showed higher level of anxiety among females than males. Within genders a low risk perception was seen within males than females. Among the health care workers, the risk perception was highest in nurses followed by paramedic and other health care staff. Conclusion: Covid-19 has caused devastating effects on the psychological stability of the health care workers which needs to be properly assessed and addressed.

A Meta-Analysis of Foreign Direct Investment and Economic Growth: An Empirical evidence from Pakistan during COVID 19 Policymaking

Purpose: Present study is based on the impact of Foreign Direct Investment on the Economic Growth of Pakistan. In this paper, a time-series data has been collected for the variables Foreign Direct Investment (FDI), Gross Capital Formation (GCF), Inflation rate (IR), and Gross Domestic Product (GDP) since the year 1970-2018 from World Bank Development Indicators. Some tests have been performed regarding the significance of data using regression, correlation analysis, and normality test (Kolmogorov-Smirnov) using SPSS software. In this research, an alternative hypothesis has been built to analyze the significance of this data. Discussions and recommendations have been given in this paper to implicate on the economy for growth and development measures.Design/Methodology/Approach: The data from WDI and other worldwide authentic sources were used from 1970-2018 to perform models using regression analysis and advanced machine learning methods.Findings: Regression and correlation analysis have been used on the variables. Its result indicates a positive relationship among the variables FDI and GDP whereas it shows a negative correlation among the variables GCF, IR concerning GDP.Limitations: Data is predictable based on the variables taken. It has been collected for the recent years up till 2018. It can only predict a certain variation caused by the increase of a particular independent variable that is FDI, GCF, and IR. Future variation in variables cannot be predicted. The results are specifically related to Pakistan and cannot be justified for other countries.Practical implications: Strong industrial network clusters must be formed by the policymakers to gain investor loyalty and will also help companies to form capital and also sustain a strong supply chain management. Higher FDI inflows will aid the ongoing project of Pakistan which is the Diamer Bhasha Dam. Due to the pandemic stated as COVID-19, FDI will actively play a role in maintaining ventilators in hospitals that have become a current need. An increase in inflation shows a negative impact on the economy of Pakistan. Considering the prevailing situation where unemployment level, job opportunities not being available and no productivity level is being achieved due to the current Pandemic i.e. COVID-19, policymakers must take initiative in reducing consumer prices so that all the preceding situations could have positive effects on the economic growth of Pakistan © 2020 IEEE.