ABSTRACT
Gender inequality is a more pronounced phenomenon in developing countries, which may be rooted in poor governance, and inadequate social and religious institutions. Therefore, this research tests the effects of religious tensions, governance, economic growth, and education on gender equality in a panel of 59 developing countries from 1995-2015. Moreover, religious tensions may have spillovers in neighboring countries in this modern age of media and globalization. Therefore, we apply Spatial Durbin and Autoregressive models to consider spatial autocorrelation in the religious tensions model. We find that both gender equality and religious tensions have spillovers in neighboring countries. Moreover, reducing religious tensions and increasing economic growth promote gender equality and have positive spillovers in neighboring countries as well. Bureaucratic quality has a positive effect on gender equality in home countries and has insignificant spillovers on gender equality in the neighboring countries. However, education could not affect gender equality in developing countries.
ABSTRACT
The pandemic of Covid-19 at the global level cannot be underestimated. Arab world including Saudi Arabia is affected with the pandemic of Covid-19. More importantly, the surge of the numbers of infected individuals in Iran has brought fear and anxiety in the whole region in general and Saudi Arabia in particular. Several studies have investigated the prevalence of the virus in different countries from various perspectives. Nonetheless, little focus is given to academic research on health challenge of the virus resulting to fear and anxiety in the recent time in the context of Saudi Arabia. This study primarily aims at exploring the health effect of Covid-19 in Saudi Arabia despite the fact that, the World Health Organization (WHO) has clamored for preventive measures in addressing global health effect of the virus. The methodology of the study is systematic literature review (SLR) and content analysis of the secondary data on health impact of Covid-19 and preventive measures against its transmission in the country are critically analyzed. The results of secondary data of the study indicated that a number of confirmed cases, active cases and deaths in Saudi Arabia manifested negative impact of Covid-19 on citizens' health especially fear and anxiety despite the fact that records have showed steady recovered cases in the country. More specifically, the findings indicated that, health impact of Covid-19 are as follows namely: fear or anxiety, negative attitude among health workers and women in health workforce. Similarly, Saudi Arabia has put in place various preventive measures such as: preventive measures against transmission of Covid-19 which are as follows: institutional preparedness and strengthening mechanism, curfews and lockdowns and suspension of activities and order of social distancing. In conclusion, this paper has lucidly highlighted the health effect of Covid-19 and safety measures against the transmission of Covid-19 have been elaborated in the context of Saudi Arabia. It is thereby suggested that, the outcome of this study can be helpful to the health workers and policymakers in the country to be acquainted with the magnanimity of the novel coronavirus as well as putting effective safety mechanisms in place in curtailing the spread of Covid-19 in Saudi Arabia.
ABSTRACT
Big data analytics and artificial intelligence are revolutionizing the global healthcare industry. As the world accumulates unfathomable volumes of data and health technology grows more and more critical to the advancement of medicine, policymakers and regulators are faced with tough challenges around data security and data privacy. This paper reviews existing regulatory frameworks for artificial intelligence-based medical devices and health data privacy in Bangladesh. The study is legal research employing a comparative approach where data is collected from primary and secondary legal materials and filtered based on policies relating to medical data privacy and medical device regulation of Bangladesh. Such policies are then compared with benchmark policies of the European Union and the USA to test the adequacy of the present regulatory framework of Bangladesh and identify the gaps in the current regulation. The study highlights the gaps in policy and regulation in Bangladesh that are hampering the widespread adoption of big data analytics and artificial intelligence in the industry. Despite the vast benefits that big data would bring to Bangladesh's healthcare industry, it lacks the proper data governance and legal framework necessary to gain consumer trust and move forward. Policymakers and regulators must work collaboratively with clinicians, patients and industry to adopt a new regulatory framework that harnesses the potential of big data but ensures adequate privacy and security of personal data. The article opens valuable insight to regulators, academicians, researchers and legal practitioners regarding the present regulatory loopholes in Bangladesh involving exploiting the promise of big data in the medical field. The study concludes with the recommendation for future research into the area of privacy as it relates to artificial intelligence-based medical devices should consult the patients' perspective by employing quantitative analysis research methodology.
