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This paper focuses on the possibilities of using a mobile application and geofencing technique as a social distancing mechanism in developing a smart queueing system (SmartQ) for multi-organizations in the Urban Transformation Centre (UTC) in Melaka. The use of digital ticketing system, model for queueing, the relationship between geofencing technique, and social distancing practice are presented and discussed. The problem concerning the social distancing at the public area when involving in the queueing system at UTC Melaka. A conceptual model of the smart queueing application is designed. [ABSTRACT FROM AUTHOR]

By the time of writing this paper, countries around the world are in a race against time to reduce or stop the spread of SARS-CoV2 (COVID-19) virus. Relying on typical measures such as social distancing to partial and full lockdowns seems to be insufficient. However, involving modern technologies should be sought after in order to support the efforts by governments' measures to decrease the spread of virus. Vehicular Ad-Hoc Networks (VANET), among many other technologies, can fit into the current scene. Through their Onboard Units (OBU), and by leveraging modern communication technologies, vehicles can play a vital role in reducing the spread of COVID-19 and minimize the effects of the pandemic. In this paper, a VANET application layer model for monitoring and detecting COVID-19 symptomatic cases is proposed. In the proposed model, a vehicle's OBU senses the vehicle's driver and passengers' temperature for any abnormalities, warn surrounding vehicles as well as any Roadside Units (RSU) within the transmission range with warning messages containing the detected case's temperature, and the vehicle's coordinates and identification. The information disseminated from the vehicles to the RSU is used to track the vehicles and take actions accordingly. The proposed model presents and expansion to the current VANET safety and healthcare applications by utilizing the available distant thermometers and current wireless communication. A proof of concept model that can monitor, detect, and warn in the case of the existence of vehicles with fever symptomatic cases of COVID-19 in.real-time was developed and verified using simulation. [ABSTRACT FROM AUTHOR]

Over one billion students from 150 countries are impacted due to the COVID-19 driven lockdown and educational institution closure as per the report shared by UNESCO. Innumerous efforts have been put up by the Governments of every country to control the impact of the COVID-19 but unfortunately, there is no vaccine available till now so social distancing is the only way to have an upper hand on it. The COVID-19 pandemic has affected the educational systems worldwide and led to the widespread closures of Educational Institutions across the globe. Numerous educational reformers have long-held out the expectation that information and computer technologies (ICTs) will play a crucial and integral role in bringing the long-needed revolution to teaching and learning pedagogies. The situation which took place due to COVID-19, the Online Education Systems and Platforms (OESP) are playing an important role to continue with the teaching processes in the educational institutions during the worldwide closure. Statistical analysis of the covid situation on the teaching-learning process has been depicted in this paper. The present paper focuses on the change of action in the education system and the exponential growth that happened in the Online Education Segment in the 21st century. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 (COVID-19) outbreak from Wuhan, China has spread very quickly in the world and caused many deaths. In Indonesia, the first case of COVID-19 was reported by the government in March 2020 then it became a pandemic disease. Estimating case increase rate (CIR) and case fatality rates (CFR) are important parameters for studying the basics of pandemic disease. In this paper, we analyse the case increase and case fatality rates of COVID-19 in Indonesia based on longitudinal data and average temperature by using biresponse local linear estimator. The characteristics of case increase and case fatality rates of COVID-19 in each province are different, so locally modeling is more appropriate. The result shows, on average, the highest rate of case increase was in July 2020 and the highest rate of case fatality in August 2020. This happened because of government policies that loosen social distancing programs and increased human mobility due to the holiday in the previous month. Based on average temperature, in November 2020, there were the lowest decreassing CIR and the highest increassing CFR because in November, it entered the rainy season which makes the average temperature lower. It means that the number of COVID-19 cases will be higher if the average temperature is lower. [ABSTRACT FROM AUTHOR]

In the war against Corona virus, social distance has proven to be an effective strategy to stop the spread of the disease. In this paper, to reduce the spread of novel Corona virus, a community outreach program is introduced. This system takes video feed from the camera or video and processes frames using the YOLOv3 model to estimate the distance between people. Based on the distance, the system shows the total amount of violations. This monitoring system will play an important role in an area where large people can be expected such as a shopping mall or an airport etc... With the help of this, one can ensure that people follow social distancing at the community level. [ABSTRACT FROM AUTHOR]

These days, social distancing measures are very vital to dropping COVID spread. In order to break the chain of the spreading of this virus, social distancing is sternly followed as a standard. The paper validates a system that would be useful in strictly monitoring public places such as the ATMs, malls, and the hospitals and passport offices for any social distancing violations that takes place. So with the benefit of this anticipated system, it would be expediently likely to monitor personalities, whether they are sustaining social distancing in the zone under observation, and also, to aware the people, when there were any defilements from the predefined limits. This deep learning system could be used for exposure within asure limited reserve. This algorithm can be executed on the live pictures of CCTV photographic camera to perform the required task. This simulated model uses the basic deep learning algorithms with Open CV library for evaluation the distance amongst the people within frame. Also, a yellow model which is trained on the COCO dataset to identify the people within the frame. The system has to be configured according to the position it is being installed. By executing this algorithm, the count of violations is informed based on the distance and the set threshold number of violations reported are 1 and 2 for real-time images correspondingly. The red colour bounding boxes highlighting the violations are displayed on the screen itself. Laterally, with the distance reporting, effectiveness and correctness were authenticated for a greater number ofsamples. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic has caused unprecedented financial crisis and disruptions worldwide. It has affected the economy of most of the developing and developed countries drastically. In particular the manufacturing and service sectors have faced many problems, because of the draconian lockdowns, boarder ceases, travel bans, social distancing norms, unavailability of skilled and non-skilled work forces, unavailability of raw materials, reduced export-imports and may more, impacting the world economy adversely. This paper includes extensive review of available literatures, accentuating the impacts of COVID-19 pandemic on micro, small and medium enterprises (MSMEs) of India, highlighting the national economic slow-down, job losses and exodus of migrant workers, increased unemployment, and other socio-economic problems. Government initiatives to rescue the Indian MSMEs from the global crisis are discussed, and some strategies as suggested by different economists are also incorporated. [ABSTRACT FROM AUTHOR]

The pandemic caused by the flow of Corona virus lead to drastic workplace transformation that forced numerous employees around the world to work from home (WFH). The pandemic made an enormous effect on the routine work culture and family as well. WFH, physical distancing, online education and virtual meetings became the normal routine of life of every individual. To save the cost and to increase productivity a great number of the multinational companies have incorporated WFH concept but in India especially in the state of Kerala the idea of WFH was novel for almost all public sector and private sector organizations. Therefore, under this circumstance every organization either public or private is trying to enhance their employees to cope up with this new trend by indulging digital infrastructure which enable employee's toexhibit their duties from anywhere. In this context, the present research paper, attempts to focus the impact and challenges of pandemic caused by corona virus on work traditions in the state of Kerala. [ABSTRACT FROM AUTHOR]

In this era of COVID-19 pandemic; the lives of human beings are at very high risk. All the countries throughout the world have been facing this pandemic since the start of year 2020 and yet there is no particular vaccine discovered for this deadly virus. And the only way for an individual to protect themselves from this virus is to take all the necessary precautions and follow the norms set by the government. We must start protecting ourselves through simple precautions such as using masks, sanitizing, and by keeping a regular check over our health conditions and by following social distancing norms. As it has been more than 11 months we have been following lock down norms set by government but yet there is a high spike in number of cases and the economical state of the country as well as the individual's is declining. So it's time to get back to our professional lives. In this paper we proposed a smart entrance system to check the temperature of an individual, and to sanitize before getting into accomplish their task. This proposed system will helps humankind in this pandemic stage to continue our journey of personal and professional lives along with COVID-19. It ensures if an individual is following all the required precautions while using public resources for the safety of the community and also reduce the risk of the health checkers getting affected with the virus; which in turn might save many life's. [ABSTRACT FROM AUTHOR]

As of April 30, Vietnam has a total of 270 confirmed cases of the SARS-CoV-2 virus and no death, numbers that are significantly low compared to other neighboring countries. Besides, with no new cases reported in the past few days, and 222 cases have recovered. So far, Vietnam, which borders with China, where the COVID-19 originated, has done an excellent job in fighting the outbreak with limited resources compared to wealthy Western countries. In order to prevent further spread, Vietnamese authorities have enforced social distancing, many restaurants and businesses have shuttered, tourists have left, and many residents are out of work. As a result, the Vietnam economy and residents have been primarily affected. In this paper, the author will review how the Vietnamese Government combat the COVID-19 pandemic successfully, manage socio-economic impact as well as support poor people and workers. Lastly, the author will provide recommendations to Vietnam's Government to reduce the impact of coronavirus in tourist field. [ABSTRACT FROM AUTHOR]

Coronavirus, or Covid-19, is a new virus first discovered in Wuhan, China, at the end of 2019. This virus attacks the human respiratory area, which can cause respiratory problems and even loss of life. Covid-19 virus transmission is also high-speed and very easy; it is transmitted through airborne and human droplets. Therefore, to reduce the transmission rate of this virus, several researchers revealed that social distancing is one way to suppress the transmission of the Covid-19 virus. In the era of technology, The Internet of Things (IoT) is one of the systems that can help to solve this problem. The Internet of Things (IoT) cancan use one or more devices connected to the network, and it can exchange data and information effectively and efficiently. In this study, the researchers review several IoT technologies that can be used to detect COVID-19 symptoms and implement social distancing rules based on the latest literature. The review results show that IoT technology has been used to monitor the progress of COVID-19 patients in real-time with various sensors connected to geographic positioning systems, mobile devices, and cloud computing. Several research proposals for the development of IoT technology have been identified, such as the detection of COVID-19 patients in crowds, prediction of the spread of the virus in an area, and implementation of health protocols in various crowded locations. [ABSTRACT FROM AUTHOR]

The Covid-19 has had heavily affected the global economy making several countries to a standstill. During this crisis, many people have started making use of social media platforms as a method of practicing social distancing. With this thing said, it is just the right environment for cyber attackers to conduct fraud by taking advantage of people's fear and widespread panic. This paper examines the different types of cyber-attacks conducted during this pandemic in India, with an increased time spent on social media by misleading people into releasing sensitive personal information. The paper also discusses the level of cybercrime awareness among the Indian citizens and preventive measures taken by them, which has become of utmost importance during this pandemic. Further, the research focuses on the statistical analysis, which is conducting by considering the hypothesis for the interdependence between the preventive steps taken, total duration utilized on the social platform, and the likelihood of online victimization. Additionally, future work related to the paper will determine the changes in the number of cybercrimes post Covid-19 pandemic. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic has caused severe repercussions that has affected many lives in Malaysia especially university or college students who still struggle with studying in the ongoing pandemic which physical distancing and quarantine are in place. Most of the educational institutions in the world were closed and the teaching and learning activities were placed online. Students have been severely impacted both physically and mentally, as some students are unable to manage their time for academic work due to a lack of motivation caused by online learning and other factors. This study aims to investigate the impact of social media and time management during the pandemic for students and to develop a mobile app to assist students who are facing time management issues or social isolation during this pandemic. This paper presents the architecture and the tools being used to develop the mobile app. [ABSTRACT FROM AUTHOR]

In this paper, we present a mathematical model for the spread of the COVID-19 disease with a major focus on the social distancing, face masks and quarantine. The populations is divided into six compartmental classes, susceptible (S), expose (E), infectious (I), quarantined (Q), hospitalized (H), and recovered (R) individuals, respectively. The proposed model has a locally asymptotically stable disease-free equilibrium whenever a certain epidemiological threshold, known as the control reproduction number (9λc). The outcomes show the impact of social distancing, face masks and quarantine on reducing the number of infections and the control reproduction number. Furthermore, the result suggests that the effective strategy in controlling COVID-19 should be concerned the consistent use of face masks, increasing effectiveness of social distancing and quarantine with high enough compliance. [ABSTRACT FROM AUTHOR]

The explosive spread of Corona Virus Disease-19 (COVID-19) in late December 2019, requires the health authorities worldwide to enforced stricter standard operating procedures (SOP) for mass gathering events, which eventually caused postponement and cancellation. This has led to a great loss and bankruptcy for most event organizers. As an effort to offer solution to this matter, a professional touch producing "soft landing" such as "Mathematical Modelling of Physical Distancing Policy for Mass Gathering Event Organizer" was proposed. Therefore, a holistic understanding about the issues related to physical distancing in mass gathering event is required. This systematic review paper summarizes current practice of physical distancing among mass gathering event organizers. This study reviewed thirteen articles using two leading databases namely Scopus and Google Scholar. Based on thematic analysis, this review finalized four themes: 1) physical distancing method; 2) the importance of physical distancing; 3) challenges in physical distancing enforcement and 4) approach to monitor the compliance of physical distancing. [ABSTRACT FROM AUTHOR]

Mass gathering has been identified as one of the causes of fast-spreading of COVID-19. Physical distancing practices and large gathering control in Malaysia and all over the world are likely to be continued until the end of the year, even after Movement Control Order (MCO) has been lifted. This has imposed event organizers to redesign their events into virtual events where attendees are to stay at their houses and meet with the host and other attendees virtually. However, certain types of educational events or activities such as practical and hands-on classes are not to be virtually conducted as it by nature carries a competency for the students. This paper evaluates the standard classroom layout by comparing with optimal layout based on circle packing problem (CPP) solution. CPP solution is used to optimize the physical distancing-constrained for the student seat layout as in it happens in real life. The findings can provide an effective exit strategy for Malaysia to deal with this COVID-19 pandemic or other pandemics in the future. [ABSTRACT FROM AUTHOR]

COVID-19 has received tremendous attention from scholars worldwide and even being labelled as a black swan event that has disrupted every aspect of human life. Within a short time span of the pandemic, a large volume of research pertaining to COVID-19 has been published in diverse research fields. This paper adopts a bibliometric analysis to systematically evaluate the research development in the application of optimization and simulation methods to address COVID-19 physical distancing policy (OSPhyD) using Bibliometrix R package. A textual query on Scopus database using the combination of four classes of keywords; covid-19, optimization, simulation, and physical distance has returned a total of 299 original research articles and reviews published in English. Appropriate visualizations were generated to describe the collaborations between different authors, countries, and institutions, whilst co-word analysis that uses text mining technique has produced a conceptual cluster via co-occurrence network map to underscore the emerging themes in the current research interest. The main findings pinpoint that: 1) OSPhyD as a scientific research field is an emerging multidisciplinary research topic that is growing progressively and steadily in the fields of medicine, engineering, social sciences, mathematics and decision science, 2) The field has attracted the attention of scholars from all over the world particularly from United States of America, United Kingdom, European countries including authors from Asia, and 3) Three dominant themes or research front emerged from the publications including COVID-19 mainstream, medical education and undergraduate. [ABSTRACT FROM AUTHOR]

Due to Coronavirus disease, many new norms are being introduced and one of them is a social distancing. This article focuses on the comparison of technologies that can be adopted in developing a smart queueing system that cater the social distancing issue. Several technologies are discussed in this paper are including ultra-wide band, RFID, NFC, Geo-fence, Wi-Fi and Bluetooth. The discussion is based on the technology specification and how those technologies can assist in enforcing social distancing in queueing process or activity. [ABSTRACT FROM AUTHOR]

At the end of 2019, the world saw a storm of a fatal virus that spread across the globe infecting people, blocking their progress as well as lives. Covid-19, coronavirus, had knocked out as the world's strongest pandemic that snuffed everything and everyone. With due research done on this infection, we came up with some cautions to be adopted, like social distancing, going out lesser or whenever needed, and the usage of masks which sounded to be a highly efficient way to secure oneself from inhaling this virus. Thus, with this production of masks reached its peaks, but the key challenge that persists is choosing the best one. Finding the right mask causing least problems today and tomorrow meanwhile protecting one's health could be termed as the best here. We surveyed around 5000+ mask users of different age groups in northwestern part of an Asian country i.e. India, marking different parameters of their masks usage like its type, period of use, and general problems while or after using the mask, etc. Upon analysis, we found the most prominent masks used are cotton masks and surgical masks irrespective of the age group. Our findings showcased that with cotton mask one may leads to lesser after hassles of masks. Each mask types carries some after effect of its usage, wherein the most common disease found acne followed with breathlessness keeping these two-mask type as parameter. [ABSTRACT FROM AUTHOR]

The fight during pandemic has been very difficult, and the only effective prevention was to maintain Social Distancing. Maintaining social distancing allowed the disease to spread at a slower rate. Social Distancingis basically meant for people to avoid contact and interaction in public. Even in the past Artificial Intelligence proved to give some promising results to avoid common life problems. The desired prototype will be provided with some detailed information on using python, CV, deep learning to keep a check on people and their distancing. In order to maintain social distancing on streets this tool will be subjected, thus it will allow a safe distance between people. Observing People at work environments, processing plants, shops we can coordinate this device to theirsurveillance camera frameworks and can screen whether individuals are maintaining a protected separation fromone another or not. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic has led to changes in the way humans interact, which affects preferences for the use of urban spaces. Public spaces must be part of the response to the pandemic, prevent the spread of the virus, and provide facilities for daily activities. The concept of public space needs to be redefined to accommodate public life in adapting to pandemic conditions. This study aims to explore people's preferences for public spaces to reformulate the characteristics as a means of adapting public life during a pandemic. The study was conducted using a google form questionnaire addressed to residents of Jakarta and its surroundings. The results show that during the pandemic, there's an increasing interest in public open spaces and a constant need for commercial spaces. The characteristics of preferred public spaces are compatibility, openness, accessibility, and diversity. People are becoming more pragmatic in choosing public space to fulfill their primary and secondary needs with awareness of pandemic risks. Factors that influence people's preferences on public space are openness, ease of access, and variety of activities. They also consider the flexibility to maintain physical distancing and the availability of facilities to implement health protocols. Those are characteristics to redefine public spaces to adapt to public life during pandemic covid-19. [ABSTRACT FROM AUTHOR]

The need for physical distancing in the Covid-19 pandemic has led many countries to implement policies to study from home. In mid-2020 and until mid-2021, students in Indonesia still have to do online learning. Therefore, the lecturers teach online (known as Emergency Remote Teaching (ERT)), including for science courses. A hands-on activity in science courses is often considered unable to be carried out optimally in ERT. In this study, the role of hands-on activity in teaching basic science concepts online (ERT) is discussed. The methodology used in this research is Self-Study of Teacher Education Practices (S-STEP). The main data source is taken from the author's reflection (journaling) process in implementing ERT in the basic science concept course in primary school teacher education. Some results from the students' feedback questionnaire are also part of the data. From this research, it is found that in ERT for science, a hands-on activity not only plays a role in improving student competence, such as in in-person teaching, but also has a role in engaging students' attention, providing a sense of learning to the students, and also providing a possibility for interaction among students and between lecturer and students. This result may provide insights to science subject lecturers during the ERT period. Due to the importance of hands-on activities, In ERT, the hands-on activities may be replanned and redesigned according to ERT conditions, but science lecturers are suggested not to completely eliminate the hands-on activity. [ABSTRACT FROM AUTHOR]

World is suffering from an invisible enemy "pollution" and that too since a very long time. The focus around the whole globe is to become powerful, developed and economically strong nature but what we are forgetting is that the GDP can turn from negative to positive but environment can‟t. By the end of 2019 World suffered from a deadly virus named as "Corona virus". It was originated from Wuhan, a city of China where the people suffered from pneumonia like symptoms which was later detected as Corona virus. This fatal virus turns out to be the super spreader. Strict curbs were imposed by the government such as lockdown, proper masking, sanitation, social distancing. What we saw during this pandemic was unique. Due to the lock down there was sudden reduction in the anthropological activities throughout the globe which leads to the healing the environment. This review is all about the effects of lockdown on existing pollution. It also includes the reduction of particulate matter of size 2.5 and 10 in major polluted cities of India including the capital to India, Delhi. [ABSTRACT FROM AUTHOR]

WHO proclaimed the outbreak of the New Corona virus in China a global health emergency, and Southeast Asia was one of the first regions to suffer serious damage. This study discusses physical distancing policies in public transportation on Covid-19 cases in Southeast Asia in the literature. We used Publish or Perish, Mendeley and Google Scholar, to search for articles published between 2020 and 2021. The study reveals that Covid-19 can be contained more effectively in Southeast Asia if physical distancing policies are introduced early. Vietnam is the greatest country at reducing Covid-19 cases due to rigorous physical distancing policies, notably on public transportation. The import of cases successfully limited by transportation border regulations, both in terms of distance and number. Particularly if it is accompanied by stringent policies such as screening tests, effective tracing, stay at home, working from home, and lockdown. [ABSTRACT FROM AUTHOR]

Throughout the pandemic COVID – 19, interpersonal communication could not be practiced in our daily routine as the COVID-19 virus is easily spread between people within close contact. This research aims to identify the relationship between social distancing and interpersonal communication during pandemic COVID – 19. This study applies the Social Exchange Theory. Quantitative method is applied in this study and data were collected through the distribution of questionnaire to 131 respondents. In addition, the findings showed that there is no significant difference on social distancing between male and female. This study discovered that there is relationship between social distancing and interpersonal communication during pandemic COVID - 19. Hence, this study contributes to the field of communication through the establishment of a more comprehensive variable related to participation in benefit of social distancing and help to develop the Social Exchange Theory. [ABSTRACT FROM AUTHOR]

The health crisis that attributed to the rapid spread of the COVID-19 has impacted the globe negatively in terms of economy, education and transport and led to the global lockdown. The risk of the COVID-19 infection has been increased due to a lack of successful cure for the disease. Thus, social distancing is considered as the most appropriate precaution measureto control the viral spread throughout the world. Social distancing means that physical contact between individuals can be prevented to reduce the viral transmission effectively. The purpose of this work is to provide a deep learning model capable of predicting the movement of people in the pandemic to take precautions and control the COVID-19 infection. This model is based on twoLSTMand GRU algorithms. The results show that the GRU is better than LSTM in terms of prediction error rate and duration. [ABSTRACT FROM AUTHOR]

Covid illness (COVID-19) happened in December 2019 first in Wuhan city of Hubei region of China. World Health Organization (WHO) proclaimed the spread or transmission of this infection as a pandemic. The infection named as severe intense respiratory disorder Covid 2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses on February 11, 2020. Disease due to this novel-coronavirus is infectious. Therefore, modeling such disease is required to understand methods of transmission, spread, epidemic. Several researchers have found that the transfer of the virus occurs through human contact via their pathogens, such as coughing, sneezing, and breathing. With all sorts of preventive measures (social distancing, wearing mask and lockdown), there is a need to develop a dynamic model of epidemiology for infectious disease. In this article, we have developed a new epidemiological dynamical model-design towards simulating spread and awareness towards this genomic- virus. This model studies the complexity analysis including time series and phase dynamics for the development of the virus in Iraq. Examination helps the comprehension of episode of this infection towards different pieces of the mainland and the world. Accuracy in addition to, validity for the assessment would prove to be superior if models fit less of the data on basis of the features: population-mobility with natural-history, epidemiological-characteristics, & transmission-contrivances for virus-gene. It is concluded that for Iraq the spread is following the log normal behavior with long tail. [ABSTRACT FROM AUTHOR]

This article explores the clustering of COVID-19 incidences in the City of Baguio using spatio-temporal analysis. The GIS maps of the cumulative incidence rates of 129 barangays of the city were investigated in the span of ten months from March 2020 to December 2020. A thorough investigation of the CIR in the city may contribute to proper formulation and or implementation of policies to lessen the growing number of COVID-19 cases in the city. The Moran's index was used to determine significant spatial autocorrelations on the CIR before undergoing hotspot analysis. The Getis-Ord Gi* and Local Moran's I of QGIS were used to determine hotspots and coldspots, confirmed through the cluster and outlier analysis, respectively. The months of October and November registered clustering patterns and hotspots. The increasing number of test kits available were also considered in the analysis of the increasing COVID-19 cases in the city. Moreover, results showed that most of the incidences occurred at the center of city, that is, the business districts where most people go. It was found that cluster distribution of COVID-19 with high CIR has less than 1% likelihood to be random for the months of October 2020 and November 2020. This implies that the barangays with high CIR are significantly clustered. Hence COVID-19 protocols such as social distancing must be strictly implemented. [ABSTRACT FROM AUTHOR]

Social distancing has been proven as an effective measure against the spread of the infectious Coronavirus disease (COVID-19). However, individuals are not used to tracking the required 2M distance between themselves and their surroundings. The main aim of the proposed system presents an implementation of smart social distance detector using AT mega 328. In the era of COVID – 19 in.which everywhere there is a panic like situation and according to the World Health Organisation social distancing to be the only solution. The innovative method is proposing to track the distance between humans in an outdoor environment based on sensors. In these COVID - 19 environment where everyone is conscious about their safety. We came up with the idea of a smart device. Most of the time, people on the roadside will not much concentrate on what is going around them. The proposed system will give alert to the person if someone is nearer to him. This method is reasonably accurate and helps in maintaining social distancing. Our main idea is to develop a device to provide people with a living environment with safety and environment protection and intelligence. We introduced a technology which will prove to be beneficial and safe for the people. [ABSTRACT FROM AUTHOR]

We have analyzed the COVID19 epidemic data for India and some of its states between March 10 till October 3, 2020. The behavior amongst various parameters and their patterns are studied. We modeled the distributions of various epidemic parameters through multiple techniques such as generalized linear models and SIR. We found that different states are at different stages of the pandemic life-cycle. Our analysis seems to suggest India is not yet gone past its first wave. Given this reality, mitigation measures such as social distancing, wearing masks, cleaning hands can not be overemphasized. We also found that India and states' pandemic behavior varies by a wide margin due to various practices and policies. [ABSTRACT FROM AUTHOR]