ABSTRACT
Background: Health care workers (HCW) assume a significant part in teaching the overall population about the origin of the immunization and its implications and subsequently, vaccination hesitancy among them presents existential dangers to the stoppage and control of this pandemic. It will likewise impede endeavours to reduce COVID-19 pandemic. Objective(s):To comprehend coronavirus vaccine acceptance and specific attitudes toward vaccine hesitancy among HCWs and medical students at Jinnah hospital, Lahore. Method(s):200 HCWs employed by Jinnah Hospital, Lahore and 200 asymptomatic medical students to access attitudes toward vaccine acceptance and hesitancy. A cross-sectional survey was designed and the questionnaire was administered during May, 2022 while it was completed online throughout the month of May, 2022. Vaccination hesitancy was defined as procrastination or denial of vaccination although the services and the doses are available. Tabulated form was given to the descriptive statistics and the reported attitudes towards COVID-19 vaccine of the participants. Data was entered and analysed statistically by using SPSS software, IBM version 27. Qualitative data was shown as frequencies and percentages. For data analysis a chi-square test was used with P < .05 as statistical significance. Result(s):In total, 400 enrolees, completed the questionnaire, a majority of participants were doctors (98.5%), were vaccinated by choice (90.5%), had Chinese vaccination (80.5%), and had booster dose (34%). Almost all respondents were aware of COVID-19 vaccination (100%).Vaccination hesitancy was shown by health care workers right away due to fear of vaccine (1%). Conclusion(s):Vaccine intake was adequate among health care workers and satisfactory among medical students. Awareness regarding vaccination was good among both groups with low level of hesitancy.Copyright © 2022, Anka Publishers. All rights reserved.
ABSTRACT
Background: Corona virus is caused by Severe Acute Respiratory Syndrome Coronavirus 2;it has spread in 216 countries including Pakistan. It has been noted in the past that disease outbreaks have significant effects on mental health of the population. With previous evidence of anxiety and depression among student populations, we aimed to investigate frequency of Mental Health and its association with changes in Quality of Life due To Covid-19 Pandemic among undergraduate students in Islamabad.
ABSTRACT
For any legal system, determining how liability will be ascribed to a particular person is a difficult task. However, a recently popularised conundrum in legal literature considers the question of legal liability for artificially intelligent computer systems. With the advent of COVID-19, the adoption of new technologies is accelerating, and the role of AI in our lives is only going to increase. What is often overlooked is that such technologies are usually premised on the “deep learning” system, creating uncertainty in decision making, experience-based learning, and reactions to events. Considering the issue of ascribing liability for harms caused by AI, this paper scrutinises these shortcomings. It highlights how legal systems have the propensity to do more in the promulgation of industry-wide standards relating to AI products. A failure to do so may have catastrophic consequences with the rapid development of AI technology and the increasing reliance on it by humans. © 2021 LUMS Law Journal. All rights reserved.