ABSTRACT
The word "Pandemic" means a horrible situation for the whole world. In December 2019, they were crucially killing breathing symptoms coronavirus (SARS-CoV-2), a novel coronavirus that was first flourishing in Wuhan, China. This survey exposes Bangladeshi people to their thinking, mind, reaction about the corona, guessing about COVID-19, how their mental situation, their economic condition, and how they see the impact on the environment of COVID-19 during the lockdown. More than 15 occupations people supported us in the completion of the work. We set a consent option for participants that they agree or disagree with to fill up the survey form, and we were capable of collecting 938 responses (921 yes and 17 no) through the google form, which filled-up with their assessment. We surveyed to measure and analyze the situation during the lockdown period. According to our survey responses, 19% of people take the COVID-19 as God's wrath, 35.14% permanently and 43.24% temporarily lose their job of the private job holder, 76.8% suffer financially from corona, 55.60% of students or young guys think a coronavirus will never attack them, and they have lots of issues with coronavirus. We found some curious acknowledgment from the audience because they feel COVID-19 attacks only bad people, someone who had a severe fever, and they think COVID-19 attacked him, and they (17.5%) also think the virus is inactive by the water of the rain. They have a favorable view of the coronavirus impact on the environment. This survey also instituted a reference for further pandemic situations. It will also help in taking advanced preparation for pandemic as well as beware people. © 2022 American Institute of Physics Inc.. All rights reserved.
ABSTRACT
With the rise of Covid-19, the importance of health monitoring has risen to a new peak. Keeping a check on the symptoms of covid is an integral part of our lifestyle now. Using Tele-Health systems can quickly achieve this feat. The Tele-Health field has vastly improved in the span of the uprise of the pandemic and has helped provide medical and non-medical individuals with the help they require. Much work has been done in this field, integrating IoT with the medical field to monitor an individual’s physical parameters efficiently and safely remotely. We have done a systematic review of the works that have helped develop this field during the pandemic. Bringing forward the pros and cons of these systems, we try to draw a clear picture to clearly understand the systems that have helped improve our daily lifestyle over this pandemic period. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
In December 2019, an outbreak of a series of severe respiratory illness was found in Wuhan, Hubei Province, China. It was due to a novel coronavirus, now identified as SARS-CoV-2. The virus is human-to-human transmissible and that is why it has created a pandemic. Due to the continuous increasing death toll, several governments have been compelled to execute complete lockdown throughout the countries and followed by a social separation. The lack of tailored treatment remains an issue. Usually, patients above the age of 65 are more vulnerable to serious illnesses, according to epidemiological studies, whereas children have lesser symptoms. Depending on the present scenario of coronavirus disease, World Health Organization (WHO) advised to implement precautionary measures to defend self and other population. It has been also instructed to take legal action if some careless personnel do not abide with the guidelines of WHO and respective government of his country. A covid detection mechanism from X-ray images is presented in this paper, where a deep convolutional neural network has been utilized to determine whether a person is a covid patient or not. The proposed model accomplishes more than 96% accuracy, which proofs the goodness of the proposed work. © 2021 IEEE.
ABSTRACT
With the advancement of the Internet of Things in our smart environment, smart devices are working without human intervention. So home can be converted to intelligent home automation systems to perform its computation automatically. In a pandemic situation, the majority of people have spent their maximum time at home. So indoor air quality, insider's and outsider's health monitoring has become an important issue. As respiratory diseases are the main concern for pandemics, we have to develop an intelligent home system model to monitor healthy environmental conditions for the users. This paper proposes an energy-efficient smart system model to monitor the health and environmental condition by measuring the carbon monoxide threat level that indirectly affects other atmospheric parameters. Our system alerts when the carbon monoxide level exceeds the safe level. Remote monitoring of the home and health parameters is done in real-time with the help of the system model. For this purpose, we are adopting Dempster-Shafer evidence theory as a mathematical model to aggregate the data coming from different sensors. The sensor nodes track the home and health parameters such as room temperature, humidity, carbon monoxide level, SpO2 level, body temperature, and pulse rate. The smartphone app updates the user's real-time sensor data through the display and indirectly helps to maintain the physical distance. The proposed intelligent home-health system model is compact, cost-effective, energy-efficient for the user, and is especially useful for the quarantined covid affected people in a pandemic situation. © 2022 ACM.
ABSTRACT
Of many things, Covid-19 has provided a stark proof that uncertainty is real, and it is here to stay. Perhaps nothing is more sensitive to uncertainty than the Financial World. To couple with it, while Artificial Intelligence techniques are used to predict the future state of events, their performance is significantly impacted by disruptions not captured in the past. Unforeseen scenarios such as economy changes, variations in the customer behaviour, pandemics, recessions, and fraudulent transactions often result in unexpected behaviour of financial models, thus associating a level of uncertainty with them. It is thus imperative for the research community to explore, identify, analyze, and address such uncertainties in order to develop robust models applicable in real-world scenarios. To this effect, the International Workshop on Modelling Uncertainty in the Financial World 2021 (MUFin21) aims to bring academics and industry experts together to discuss on this important, timely and yet- unsolved area of modelling uncertainties in the financial world. © 2021 Owner/Author.
ABSTRACT
COVID-19 disease is an infectious disease caused by the Corona viruses. It is transmitted due to human-human interaction in human population. In the proposed work, we propose and study an epidemic model of COVID-19 disease by considering hospital facility to prevent the disease spreading. The aim of the study is to observe the effects of better hospital facility to control the disease. Explicit formula for the metric, basic reproduction number (R-0) is obtained. At last, we simulate the proposed model and result is analyzed to show the impact of hospital facility in controlling the spreading of COVID-19.