Covid-19 pandemic has created crises among some Malaysians. The crises have both opportunity and threat impacts. Without proper intervention, some people will develop stress, anxiety, and depression. This study aims to explore the emotional anxiety that exists in the society due to Covid-19 pandemic and the roles of social media and counselling support in reducing anxiety among Malaysians. This quantitative research involved online survey throughout the country. The online survey is administered during the First Phase and the Second Phase of Movement Control Order (MCO). The survey contains 13 items which cover three domain: i) anxiety, ii) roles of social media, and iii) roles of counselling support in reducing anxiety among members of the society. There were 8375 respondents from various age groups, locations, as well as economic and educational statuses involved in the study. Data were analysed using descriptive and inferential analysis. Majority of 7233 (86.6%) respondents felt anxious due to Covid-19 pandemic. A total of 7871 respondents (94%) followed the latest updates on Covid-19 to reduce their anxiety. They used social media such as Facebook, Instagram and Twitter to gather information and follow the updates through television and press conference. A total of 5251 respondents (62.7%) were aware of the counselling support provided during the MCO, and 4603 respondents (55%) felt comfortable to have counselling support by phone. The findings will contribute to knowledge on the society's emotional anxiety in facing Covid-19. It reflects the actual situation happened in Malaysia during Covid-19 and MCO.
This paper discusses the findings of an empirical analysis of the Kuznets, or reverse U-shaped relationship, between the COVID-19 mortality rate and economic performance. In the early stages of economic development, the COVID-19 mortality rate is anticipated to rise with rising economic activity and urbanization. Eventually, the mortality rate decreases at higher economic development levels as people and the government are more capable of investing in disease abatement measures. The quality of political institutions, wealth distribution, urbanization, vaccination rate, and improvements in healthcare systems are hypothesized to affect the COVID-19 mortality rate. Examining this relationship can be effective in understanding the change in the COVID-19 mortality rate at different economic performance stages and in identifying appropriate preventive measures. This study employed the negative binomial regression to model a cross-sectional dataset of 137 countries. Results indicated that the relationship between the per-head gross domestic product (GDP) level and the COVID-19 mortality rate appeared to follow a pattern like the Kuznets curve, implying that changes in institutional quality, healthcare advancements, wealth distribution, urbanization, vaccination rate, and the percentage of the elderly population were significant in explaining the relationship. Improvement of the healthcare system has a notable effect on lowering the COVID-19 mortality rate under more effective government conditions. Additionally, the results suggested that a higher per-head GDP is required to reverse the rising trend of the mortality rate under higher income inequality. Based on these results, preventive measures, and policies to reduce COVID-19 mortalities were recommended in the conclusion section.
The COVID-19 pandemic was a serious global health emergency in 2020 and 2021. This study analyzed the seasonal association of weekly averages of meteorological parameters, such as wind speed, solar radiation, temperature, relative humidity, and air pollutant PM2.5, with confirmed COVID-19 cases and deaths in Baghdad, Iraq, a major megacity of the Middle East, for the period June 2020 to August 2021. Spearman and Kendall correlation coefficients were used to investigate the association. The results showed that wind speed, air temperature, and solar radiation have positive and strong correlations with the confirmed cases and deaths in the cold season (autumn and winter 2020-2021). The total COVID-19 cases negatively correlated with relative humidity but were not significant in all seasons. Besides, PM2.5 strongly correlated with COVID-19 confirmed cases for the summer of 2020. The death distribution by age group showed the highest deaths for those aged 60-69. The highest number of deaths was 41% in the summer of 2020. The study provided useful information about the COVID-19 health emergency and meteorological parameters, which can be used for future health disaster planning, adopting prevention strategies and providing healthcare procedures to protect against future infraction transmission.