ABSTRACT
Background: Despite the major developments in the vaccination, world health organization due to sudden rise in vaccine-preventable diseases has identified vaccine hesitancy as a major threat. Vaccine hesitancy gets stimulated by the health-related information acquired from various sources, hence is a major problem for health care authorities. Objectives: The main objective of the study was to assess the acceptance of COVID-19 vaccines and its predictors along with the attitude towards these vaccines by the public of Pakistan. Method: This cross-sectional survey was conducted from Jan-March 2022 in Pakistan. The survey from the current study was adopted from a previously conducted research. Male and female participants over the age of 18 were included for the current survey. Participants who declined to participate and providing incomplete details were excluded from the study. Institutional ethical approval for the research was obtained. Chi square test was conducted to assess association between the variable while descriptive statistics were used in form of frequencies. Results: From a total of 1194 participants, there were 232 (19.4%) males and 962 (80.6%) females. When enquired regarding finding vaccines to be safe, 69% of females and 75% of the males both agreed. In response to finding single dose of vaccine better than the multiple dose most of the females (38.5%) and males (47.4%) disagreed. Likewise, majority of females (81%) and males (84.5%) agreed that immunisation will protect against corona virus. In response to pharmaceutical companies being able to develop efficient COVID-19 vaccine, majority of the study participants agreed. When enquired about getting worried on hearing news of side effects, 61% females and 56% males stated not getting worried. Conclusion: An efficient and safe vaccine against COVID-19 is a vital factor in managing and bringing an end to the COVID-19 pandemic, however, wide acceptability of the vaccine is necessary. Public health policy developers must address the wide misinformation spreading regarding the COVID-19 vaccines. Moreover, government should aim to disseminate adequate information about the efficacy and safety of vaccine that will increase the trust of general public on government and will be beneficial in future.
ABSTRACT
Coronaviruses are a large viral family that attacks key organs, particularly the lungs. The infection spread is growing by the day, affecting almost every industry. Various Artificial Intelligence studies have been proposed, to learn the measurable information of people who have been affected with COVID-19 and those who have recovered, as well as the death rate. Various data samples like chest images, lung images, swab results, blood samples, and CT scans are used to predict the COVID-19. The paper gives an in-depth look at how AI and machine learning techniques can be used to accurately predict COVID-19. The proposed review is centered around investigating the different AI methods, models, and logical registering procedures used in foreseeing the COVID-19 sickness. The study also summarizes the difficulties associated with current methods and future exploration works.
ABSTRACT
The rare corona virus epidemic has placed communities all over the world in perilous situations. This paper proposed a systematic approach to survive the any kind of pandemic more efficiently by merging the concept of Internet of Things (IoT), Augmented Reality (AR), Unmanned Aerial Vehicles (UAVs), and machine learning (ML). We have designed technology systems and scientific solutions for various smart sectors including Education, Health, Residents, Food and safety, Transportation, Agricultural, Occupation and Finance, Recreation and fitness, and Law and enforcement, which will work in convergence to develop 'pandemic-proof' future smart world. Smart emerging innovations are playing a critical role in the world's survival at the time of lockdown and social distancing. This smart application can be a potential tool for supporting remote service delivery, ensuring uninterrupted education, food and medicine delivery, mitigating the crises' impact on businesses and urban citizens and empowering new types of local governance. © 2021 IEEE.
ABSTRACT
Diagnosing and controlling the spread of infectious diseases such as COVID-19 is crucial to managing epidemics. One common measure taken to reduce spreading is to detect infected individuals and trace their primary contacts so as to then selectively isolate any individuals likely to have been infected. The devices, called simply the 'Smart Access Card System', aim to provide contact tracing, diagnosing early symptoms, and helping to maintain social distancing. It can continuously collect the location and contacts of their owners by using sensor tag and Internet of Things (IoT) technology. Proposed mobile gadget technology might be beneficial in any future diseases spread also. © 2021 IEEE.