Navigating crisis, navigating ICTs: A study of Indian migrant workers during the pandemic

In this note, we present the preliminary findings from a qualitative interview-based study among migrant workers in India who went through much hardship in the wake of one of most strict pandemic-induced lockdown in 2020. Through this study, we narrate the four ways in which digital technologies enabled the relief and crisis mitigation efforts targeted to migrant workers and how that in turn shaped the workers' experience of the crisis and associated relief efforts. We argue that more flexible use of familiar digital tools and channels, collaboration across state and non-state actors and assistance from human intermediaries in navigating ICTs make for more effective and inclusive relief measures. © 2022 ACM.

Coproducing Support Together: Sustainable and Reciprocal Civic Disaster Relief during COVID-19

COVID-19 changed society in terms of employment, food security, and mental health, affecting all segments of the population. Surging demands for a wide range of support could not be met solely by government-led disaster assistance that experienced breakdowns in the initial phase of the pandemic. The nature of the pandemic as a global, long-haul disaster necessitated sustained, diverse, and extensive civic disaster relief to complement government response. In this paper, we explore how civic disaster relief groups carry out online and offline coordination activities to engage different actors and their positive effects on individuals and local communities, drawing on interviews with civic disaster relief organizers and volunteers in the United States. We interpret our findings with the lens of coproduction that can increase the sustainability, diversity, and extent of civic relief efforts. We then suggest design implications for coproducing disaster relief and discuss the importance and benefits of involving stakeholders who are less likely to be engaged in producing relief. © 2023 ACM.

[Management and impact of interventions to reduce COVID-19 cases in Costa RicaGestão e impacto das medidas de intervenção para reduzir os casos de COVID-19 na Costa Rica]. / Gestión e impacto de las medidas de intervención para la reducción de casos por COVID-19 en Costa Rica.

Objective: Assess the impact of interventions introduced in Costa Rica during 2020 and 2021 to control the COVID-19 pandemic. Methods: A Bayesian Poisson regression model was used, incorporating control or intervention measures as independent variables in the changes in reported case numbers per epidemiological week. Results: The results showed the relative and combined impact of containment policies and measures on the reduction of cases: mainly vehicular traffic restrictions, use of masks, and implementation of health guidelines and protocols. Evidence of impact was optimized and made available for decision-making by the country's health and emergency authorities. Several iterations were generated for constant monitoring of variations in impact at four different moments in the pandemic's spread. Conclusion: The simultaneous implementation of different mitigation measures in Costa Rica has been a driving force in reducing the number of COVID-19 cases.

Objetivo: Avaliar o impacto das intervenções realizadas na Costa Rica durante 2020 e 2021 para o controle da pandemia de COVID-19. Método: Foi utilizado um modelo Bayesiano de regressão de Poisson que incorporou as medidas de controle ou intervenção como variáveis independentes sobre a variação do número de casos por semana epidemiológica. Resultados: Os resultados evidenciaram o efeito relativo e conjunto que as políticas ou medidas de contenção tiveram na redução de casos, principalmente as restrições a veículos, o uso de máscaras e a implementação de diretrizes e protocolos de saúde. As evidências dos efeitos foram otimizadas e disponibilizadas às autoridades sanitárias e de emergência do país para auxiliar na tomada de decisão. Diversas iterações foram geradas para o monitoramento constante da variação nos efeitos em quatro momentos distintos do avanço da pandemia. Conclusão: A aplicação simultânea de diferentes medidas de mitigação na Costa Rica tem sido um agente promotor da diminuição de casos de COVID-19.

Usage of digital library services during COVID-19 pandemic: a study of Indian Institutes of Management (IIMs)

Purpose: This paper aims to find out the digital services of management libraries provided during the library closure and the challenges and initiatives the libraries have taken up to fulfill the need of their user community during the pandemic crisis. Design/methodology/approach: To meet the purpose of the study, the investigators have used a survey method. An online questionnaire was devised and administered among the Indian Institutes of Management (IIMs) librarians using Microsoft Forms. Findings: The study's findings suggested that all the libraries under investigation must avail of various digital library services in the wake of the coronavirus pandemic. Further, the investigators recommend that libraries formulate a disaster preparedness and management plan in the wake of the COVID-19 pandemic so that libraries can prepare themselves for the future. Originality/value: The pandemic has affected every aspect of life and changed the digital library services scenario. Thus, it is essential to examine the role libraries have played during the COVID-19 pandemic and distinguish the challenges and initiatives libraries have taken to tackle the problems they faced. This study has been conducted on the digital library services that were provided by the libraries of IIMs. © 2023, Emerald Publishing Limited.

Disaster Management Through Digital Platforms: Online Crowdfunding Communities Respond to the COVID-19 Pandemic

We study how digital crowdfunding platforms can help replenish the sudden economic deficiencies that accompany a global crisis. Specifically, we examine whether public schools, which suffered severe setbacks during the COVID-19 crisis, were able to generate support from online fundraising communities. We study how the shutdown of schools and the shift to online learning in the United States affected private fundraising on the DonorsChoose.org platform. We find evidence that, after the exogenous shock caused by stay-at-home orders, donations to schools increased and the increased level of concern moves toward high-need schools. Moreover, we find a shift in donation patterns, wherein donors swiftly adapted to renewed priorities and redistributed their resources to immediate needs around digital learning infrastructure. Our findings reveal the pivotal role digital platforms can play in facilitating community resilience during times of crisis. © 2022 IEEE Computer Society. All rights reserved.

Multi-branch sustainable convolutional neural network for disease classification

Pandemic and natural disasters are growing more often, imposing even more pressure on life care services and users. There are knowledge gaps regarding how to prevent disasters and pandemics. In recent years, after heart disease, corona virus disease-19 (COVID-19), brain stroke, and cancer are at their peak. Different machine learning and deep learning-based techniques are presented to detect these diseases. Existing technique uses two branches that have been used for detection and prediction of disease accurately such as brain hemorrhage. However, existing techniques have been focused on the detection of specific diseases with double-branches convolutional neural networks (CNNs). There is a need to develop a model to detect multiple diseases at the same time using computerized tomography (CT) scan images. We proposed a model that consists of 12 branches of CNN to detect the different types of diseases with their subtypes using CT scan images and classify them more accurately. We proposed multi-branch sustainable CNN model with deep learning architecture trained on the brain CT hemorrhage, COVID-19 lung CT scans and chest CT scans with subtypes of lung cancers. Feature extracted automatically from preprocessed input data and passed to classifiers for classification in the form of concatenated feature vectors. Six classifiers support vector machine (SVM), decision tree (DT), K-nearest neighbor (K-NN), artificial neural network (ANN), naïve Bayes (NB), linear regression (LR) classifiers, and three ensembles the random forest (RF), AdaBoost, gradient boosting ensembles were tested on our model for classification and prediction. Our model achieved the best results on RF on each dataset. Respectively, on brain CT hemorrhage achieved (99.79%) accuracy, on COVID-19 lung CT scans achieved (97.61%), and on chest CT scans dataset achieved (98.77%). © 2023 Wiley Periodicals LLC.

Eco-Friendly IoT Solutions for Smart Cities Development: An Overview

The last three years showed global systems' fragility in different disciplines, such as medicine, travel, and trade. Moreover, environmental changes are still happening in extreme weather phenomena, exacerbating COVID-19 in the world health sector. Therefore, the world needs to work hard in both traditional and modern technological ways to develop smart solutions for the development of smart cities to create open, interconnected networks for everyone. The focus of intense research worldwide is the development of standardized eco-friendly sensor networks enabled by IoT technology. This study presents a comprehensive overview of the challenges facing the world and humans in the current era and how modern technologies, including the Internet of Things (IoT), can make a real change in smart city development and save the global environment. These technological solutions and frameworks help to achieve innovative administration, high adaptability, better efficiency, and productivity. In particular, the paper spots light on top environmental challenges according to impact and likelihood classifications. Also, it discusses recent green technology solutions for smart city development in many applications, such as e-waste management, climate change adaptation, water crises, and natural disaster management. © 2023 IEEE.

Acceptability of the Bicycle as Alternative Transport in the Financial Sector of Quito in the Context of the Covid 19 Pandemic

For a city to become resilient, smart measures must be taken that can cope with unexpected events such as the arrival of a pandemic or natural disasters caused by climate change and also prevent further destruction of our planet. Transport powered by combustion engines is one of the main emitters of greenhouse gases that increase the temperature of the planet and cause climate change. The public transport service of the city of Quito is the most used by its inhabitants and is mostly made up of combustion engine buses, however, during certain months of the years 2020 and 2021 it was suspended and the capacity was also limited to prevent the spread of the covid-19 virus, as it has become one of the main sources of contagion. The limitation of public transport led to economic, political and social instability. Some citizens and transport operators chose to break the law due to the limitations of public transport. Given the demand for transport, this study calibrated ten multinomial logit econometric models to estimate the probability of acceptance of the bicycle as an alternative mode of transport to public transport and taxis in the financial sector of Quito, using stated and revealed preference surveys. The bicycle is considered as a sustainable means of transport capable of solving the need to move around with social distance and in situations where public transport is limited. © 2022 IEEE.

Effective Real Time Disaster Management Using Optimized Scheduling

In recent years we face many types of natural and man-created disasters such as tsunamis, earthquakes, hurricanes, Covid-19 pandemic, terrorist attacks, floods, etc. which cause diverse and worse effects on our daily lives and economy. In order to mitigate the impact of such disasters and reduce the causality, economic loss during disaster response cycle, the different disaster management resources such as rescue teams, transportation, healthcare and related services must be schedule and allocated efficiently. In this research, we proposed the Cluster-Based Real–Time Disaster Resource Management Framework which used edge and computing-based real-time scheduling of various resources and emergency services in disaster management. The edge computing resources are grouped into the cluster and a set of tasks is assigned to the cluster and scheduled on the edge computing cluster to increase resource utilization and acceptance rate which is the problem of existing partitioned scheduling and reduces response time, and overhead due to communication and migration which is the issue in exiting scheduling. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Survey on the dissemination of Web-based information on "evacuation and sheltering” in the context of COVID-19 by the Japanese Government

Purpose: This study examines the websites of central government ministries, prefectures and municipalities to obtain a comprehensive bird's-eye view of how they are preparing for natural disasters in the context of the novel coronavirus (COVID-19) outbreak. Design/methodology/approach: This study examines the websites of central government ministries, prefectures and municipalities in Japan to survey the actual status of information dissemination on "evacuation and sheltering” in the context of COVID-19. Findings: This study found that the central government issued many notices, notifications and administrative communications to prefectures, cities with public health centers and special wards, which were mainly related to opening, securing and operating evacuation centers and improving the environment. It was found that most prefectures disseminated information on both survival and living evacuation and did so from June onward, when the flood season was approaching. Among the municipalities, there were differences in information dissemination tendencies by prefecture, and it became clear that smaller municipalities were especially incapable of fully disseminating information via the Web. Research limitations/implications: The data from the prefectures and municipalities surveyed in this study were collected from websites and do not necessarily represent the actual response to disaster-related evacuation in the context of COVID-19 in those areas. To clarify this evacuation, more detailed surveys are needed. Originality/value: This study is unique because no research has been conducted on the response of Japanese administrative agencies to disaster-related evacuation in the context of COVID-19;the actual situation was analyzed in this study by examining central government ministries, prefectures and municipalities as administrative agencies and comparing their responses. © 2021, Emerald Publishing Limited.

Design of Steel Intensive Quarantine Centre

In pandemic conditions, where the COVID-19 infection is increasing exponentially, quarantine centres have become very necessary to separate and restrict the movement of people. These structures are also helpful in similar situations like disaster management, defence purposes and housing for poor people. Planning and Designing of Steel Intensive Quarantine Centre' takes on the task of designing and analysing an economical, ecological and rapid construction solution of a modular quarantine centre building. It facilitates a faster construction facility due to steel construction instead of RCC, which takes almost 70–80% more time and is not recyclable like steel. The schematic and elevation plans have been tweaked with additional architectural features to ensure ventilation, sunlight and accessible transit of patients. For economical structural design, the iterative method is incorporated to find columns with the minimum size and shape to achieve ample carpet area, i.e., star-shaped. While designing the structures, i.e., portal frame and truss roof frame are subjected to the same loading conditions. For resisting the lateral forces, different types of bracings have been incorporated in plan and elevation. The construction of a portal frame requires specialized labour to handle compound sections and connections, whereas construction of truss sections is possible by skilled labour or directly use prefabricated truss sections with the help of unskilled labour. Compound sections pose a significant challenge due to their unavailability and transportation difficulties. In contrast, the sections for trusses are readily available even in the remote market. Moreover, the construction of both structures provides rapid construction. The portal frame costs about 16% cheaper than the steel frame due to smaller sections and absence of compound sections. For validation of our work, we have used manual and automated calculation to minimize the error. The structure is expandable for future expansion by techniques such as expansion joint and satellite arrangement. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Blockchain Oriented Effective Charity Process During Pandemics and Emergencies

During any emergency, a donation is considered a moral responsibility all over the globe. The lack of transparency and oversight in charity donations hurts people’s enthusiasm to donate. Donors are distrustful about how their funds are utilized. The use of blockchain technology (BCT) will provide a solution to make the donation procedure more viable. It is a distributed technology that offers a secure and transparent environment by avoiding the involvement of third parties between contributors and charities. This article proposed a blockchain-based donation mechanism for the convenience of charity organizations, donors, and beneficiaries during disasters, pandemics such as Covid-19, and other emergencies. All transactions can be traced in blockchain, giving donors visibility into where and how their funds are utilized. This article contributes to improving donations’openness to strengthen public interest in donations and encourage BCT in charity. Ethereum blockchain is used to implement the proposed framework and provides a convenient donation platform. Smart contracts are used to make donations, which build trust between contributors, beneficiaries, and charity organizations. The blockchain-based donation method saves time, lowers donation costs, and eliminates the chances of dubious campaign funds. This study will contribute to improving emergency recovery efforts. IEEE

Study of COVID-19 Health Protocol Standards in Construction Industry of Indonesia

Due to the decrease in GNI per capita, the Indonesian government has launched its national economic recovery program in response to the COVID-19 emergency crisis, known as the New Normal and ordered to partially resume on-hold infrastructure projects followed by the implementation of a new, integrated COVID-19 health protocol. This research presents a study of health protocol standard implementation in the construction industry with the aim of formulating recommendations for minimum criteria elements that can be used for construction services companies at all levels. The domain-taxonomy analysis approach was used as the research method: the ISO/PAS 45005:2020 and ILO standards were adapted to Ministerial Regulation of PUPR No. 10 Year 2020. A gap analysis was conducted with Singapore, Malaysia, and Australia. The analysis generated four segregated main groups of elements with level-2 sub criteria. The main groups of elements were: Planning, Prevention, Handling, and Control and Evaluation. These criteria were validated and implemented in a case study of state-owned construction enterprises, here called PT. X and PT. Y, with large, qualified construction companies. From the implementation analysis it was found that PT. X and PT. Y had implemented the minimum criteria of the COVID-19 health protocol for construction workers very well. © 2022 Published by ITB Institute for Research and Community Services.

Scalable, Cost Effective IoT Based Medical Oxygen Monitoring System for Resource Constrained Hospital Environment

Oxygen therapy is one of the critical treatments employed in epidemics, pandemics, and natural calamities. Recent covid pandemic worldwide witnessed many deaths due to improper management, delayed delivery, and wastage of medical oxygen. Therefore, efficient utilization of available oxygen is very important. To monitor and manage oxygen, several hospitals employ IoT-based systems. Scalability is an essential feature in such monitoring systems in order to cater to the needs of a sudden surge in the number of patients requiring oxygen. The most commonly employed technique to monitor and manage an oxygen cylinder uses a pressure sensor where scaling up is an issue. Therefore, in this paper, a scalable solution that efficiently measures and monitors the available oxygen in the cylinder is proposed. The approach measures oxygen level using a weight sensor module and raises alerts during critical conditions such as low oxygen level and blockage or leakage of oxygen. The proposed system is a cost-effective, plug-and-play system that aids rapid deployment thereby providing timely care to the patients. Also, it does not require any change in the existing infrastructure making it suitable for a resource-constrained environment. The proposed system supports a web-based dashboard and mobile app that can be remotely accessed. © 2022 IEEE.

Tele Health Self-Management (THSM) Innovation for Patients with COVID-19: A Conceptual Design

The coronavirus disease 2019 (COVID-19) is an emerging disease that has continued from 2019 to the present. It has affected every country both major and minor pictures. Therefore, effective management reflecting the lessons learned is necessary and urgent for the management. Disaster management consists of three key periods including the mitigation and preparedness phase, response phase, and recovery and rehabilitation phase through clear-fast-safe and build-back-better concepts. Innovation by new application is one of the important tools in such issue. Previous research was found to paying attention only to recording the number of infected cases, resources, and basic self-care. Severe epidemic situations make a service place an inadequate healthcare provider. Therefore, disaster management that encourage infected people to manage themselves is essential. The research team developed tele health self-management (THSM) as a medium for communication of management and self-care guidelines during stay at home isolation and awaiting hospitalization. A proposed guideline is expected to supporting the caring of patients with COVID-19 and providing effective self-management services, reduce the loss rate, and improve the quality of life during infection. © Fuji Technology Press Ltd.

BS Team: Finding Competence Gaps

The academy form competences to work in the routine, without worries, without unknown hazards. The rules and objectives in routine activities are clear and require operational discipline to control the cost of production and product quality. The current educational model does not prepare society and groups for an emergency or even for decisions in a crisis, where resources are scarce mainly because the necessary knowledge about danger and its mechanism of action is lacking. What really happens in the chain event scenario when the danger is unknown? What are the typical models of action of the emergency leader and his team? What are the required actions in crisis management required for a BS type event considering the scarce resources, the high level of stress and the direction of the danger energy? Which models are indicated for the situation of unknown danger and its intense energy flow with high impacts during these events? What is the appropriate mind map of those who lead and execute the actions considering the low level of visibility in the events and the dynamic of geopolitics in the BS scenario where, depending on the preparation for emergency, in case of intense demand for attention and action, possible modifications may occur in the map mental for decisions? This work intends to review the discussions already performed about new concepts and tools to be used in the crisis prevention area. Between this works we will understand the effect of the stress level on emergency decisions valuating human error and observing team response using LODA tool. The Human elements designed in the organizational culture, can stop the high danger energy that can flow from some industries. The principal aspects to be constructed and monitored are technology (risk and complexity);management (leadership and stress);and behavior (cooperation, commitment, competence, and communication). By the other hand, human factors are analyzed to avoid situations which hazard energy carriers during top events, as the effect of cultural aspects to chain reaction until the occurrence of disaster. Decision models for the emergency brigade (leader and team) indicate the motor and cognitive gaps that cause lack of control during contingencies. Finally, the analysis of simulation types, by rotating observation of field simulation allow find the deficiencies of the emergency team in a real situation in the future. The methodology divided in following steps are dynamic: first, rescue the discussions about stress and the BS events and, in second step, recognize the intense hazard energy flow through failure events, antecedents, elements and human factors. In third step, we try to locate the gaps and environmental conflicts influencing losses from accidents. Finally, we assess the current event of covid-19 pandemics to suggest correct emergency preparedness actions in the preparation of leaders and their teams regarding cognitive and motor characteristics in situations of high demand. When comparing the characteristics already described by TALEB about BS with the event COVID-19, we intend to carry out a case study to indicate the possible causes this global impact crisis, or even, understand the technological disaster causes where uncontrolled events from chemical, nuclear, and oil industry begins chain reactions until the disaster. Unfortunately, a Crisis situation can be caused from several intricated dimensions, making difficult the contingency and mitigation actions. © 36th Center for Chemical Process Safety International Conference, CCPS 2021 - Topical Conference at the 2021 AIChE Spring Meeting and 17th Global Congress on Process Safety.

Comparative Study on International Research Hotspots and National-Level Policy Keywords of Dynamic Disaster Monitoring and Early Warning in China (2000-2021).

For more than 20 years, disaster dynamic monitoring and early warning have achieved orderly and sustainable development in China, forming a systematic academic research system and top-down policy design, which are inseparable from the research of China's scientific community and the promotion of government departments. In the past, most of the research on dynamic disaster monitoring and early warning focused on specific research in a certain field, scene, and discipline, while a few studies focused on research review or policy analysis, and few studies combined macro and meso research reviews in academia with national policy analysis for comparative analysis. It is necessary and urgent to explore the interaction between scholars' research and policy deployment, which can bring theoretical contributions and policy references to the top-down design, implementation promotion, and academic research of China's dynamic disaster monitoring and early warning. Based on 608 international research articles on dynamic disaster monitoring and early warning published by Chinese scholars from 2000-2021 and 187 national policy documents published during this period, this paper conducts a comparative analysis between the knowledge maps of international research hotspots and the co-occurrence maps of policy keywords on dynamic disaster monitoring and early warning. The research shows that in the stage of initial development (2000-2007), international research articles are few and focused, and research hotspots are somewhat alienated from policy keywords. In the stage of rising development (2008-2015), after the Wenchuan earthquake, research hotspots are closely related to policy keywords, mainly in the fields of geology, engineering disasters, meteorological disasters, natural disasters, etc. Meanwhile, research hotspots also focus on cutting-edge technologies and theories, while national-level policy keywords focus more on overall governance and macro promotion, but the two are gradually closely integrated. In the stage of rapid development (2016-2021), with the continuous attention and policy promotion of the national government, the establishment of the Ministry of Emergency Management, and the gradual establishment and improvement of the disaster early warning and monitoring system, research hotspots and policy keywords are integrated and overlapped with each other, realizing the organic linkage and mutual promotion between academic research and political deployment. The motivation, innovation, integration, and transformation of dynamic disaster monitoring and early warning are promoted by both policy and academic research. The institutions that issue policies at the national level include the State Council and relevant departments, the Ministry of Emergency Management, the Ministry of Water Resources, and other national ministries and commissions. The leading affiliated institutions of scholars' international research include China University of Mining and Technology, Chinese Academy of Sciences, Wuhan University, Shandong University of Science and Technology, and other institutions. The disciplines involved are mainly multidisciplinary geosciences, environmental sciences, electrical and electronic engineering, remote sensing, etc. It is worth noting that in the past two to three years, research and policies focusing on COVID-19, public health, epidemic prevention, environmental governance, and emergency management have gradually increased.

Disaster risk management system in Vietnam: progress and challenges.

Background: Vietnam is one of the countries most impacted by disasters in Asia- Pacific. Floods, droughts and storms are the most common catastrophes. These risks endanger millions of lives and create massive financial and production losses. Objective: This study aims at reviewing the disaster risk management (DRM) system in Vietnam, identifying progress and challenges of this system, hence making recommendations for improving the system for better responding with natural hazards. Method: The study uses PSR model (Pressure- State- Response) in combination with DRM management framework by United Nations Development Program (UNDP) to evaluate DRM system in Vietnam with 5 aspects: (i) DRM regulatory framework (ii) DRM organization (iii) DRM financial resources (iv) DRM integration in to plans at central and local levels (v) Disaster warning and education. The data collection consists of reviewing existing literature and interviewing key informants in DRM. Results: Disasters is a serious threat to Vietnam's socio economic development. To respond, Vietnam has made many efforts including develop a comprehensive legal framework for DRM which Law on Disaster Prevention and Control takes the key role. Vietnam has also established a fairly well organized DRM system from the central to local levels. The financial sources for DRM are arranged from State budget and sources outside State budget. Vietnam has developed major policies for integrating DRM into development plans centrally and locally. The disaster information and warning system is being modernized with the integration of disaster education in training programs. Challenges in DRM are identified, including institutional, financial and information issues. In addition, Vietnam is facing the increase of disasters and extreme climate events due to climate change. Covid 19 and its socio-economic consequences also lead to a lack of resources for DRM. Economic development moreover results in the decline of ecosystem-based disaster mitigation works and put more pressures on DRM. Recommendations: In the future, Vietnam should develop an information-sharing network between ministries, sectors, localities and NGOs to support the policy formulation process and enhance the coordination of multi-stakeholders. The country should also establish more proper funding allocation mechanisms to fulfill DRM's demands, especially for disaster preparedness and reconstruction phases.

Timestamp analysis of mental health tweets of Twitter users along with COVID-19 confirmed cases

Twitter users post tweets on many topics, emotions, and events. The technological advancement and ease of tweeting quicken people's interaction with social network sites. Engagement with tweets led to product promotion in many corporate companies. Many studies focused on understanding tweeting patterns for marketing, retweeting, getting noticed, and receiving feedback. The time of a tweet was used for marketing strategies. Domain-based tweet timestamp patterns helped corporates in their tweet schedules and attracted more customers for their products. We collected 2.3 million depressive, anti-depressive, and COVID-19 tweets for one year. Our analysis of these tweets results in detailed tweet patterns in different timings in a day and days in a week. The depressive tweets follow the diurnal pattern, whereas the anti-depressive tweets follow a similar trend with intermediate aberrations. We also classified the tweet keywords into three different types with their frequency and amplitude of tweet patterns. Analyzing multi-domain tweets to discover time series patterns related to human health will be helpful for the planning and execution of medical disaster preparedness and emergency teams. © 2022 ACM.

Internet of Things (IoT) for Coronavirus (COVID-19) Pandemic: A Survey on Trailblazing Techniques

SARS-CoV, mostly referred as COVID-19, has excogitated as a pandemic that has spread in 220 countries and territories across the globe. With various mutants emerging in countries, the infection has mounted to a greater extent inescapably affecting millions of people. The unceasing deaths and the extended rise in the infected cases indicate very feeble sign of a well-controlled situation as the medical world is constantly challenged. The current disrupting situation has pushed governments across the globe to inflict partial or complete lockdowns to avoid the second wave of the epidemic. The need of the hour is to alert people towards very close contact of the infected persons exposed to coughing and sneezing and thereby avoiding huge catastrophes. Persuaded with the recent elevation in the research and development of devices and equipment to shield and prevent the proliferation of this deadly disease, Internet of Things (IoT) and cloud-based remote monitoring can provide suitable solution in contagious transmission. The paper presents an overview of the contemporary unfurl of SARS-CoV, the exercising measures taken to fight against it, the ultimatum of the applications and recommendation of a new IoT-based healthcare framework. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.