Koro ti Lo: Popular Deconstruction of the COVID-19 Pandemic in Southwestern Nigeria

The emergence of the COVID-19 pandemic and its persistence are global phenomena, that greatly impact human life and existence. In Nigeria, the incidence and prevalence of the COVID-19 has attracted various interpretations and actions across cultures and spaces. While many people accept the reality of the deadly virus, many others still live in the denial of its existence and persistence. In the recent times, Nigeria seemed to experience a decline in the daily incidence rate of infected people partly due to mass education and the enforcement of preventive protocols. Subsequently, many Nigerians have thrown caution to the wind celebrating the supposed decline of the pandemic with a popular slogan: Koro ti lo (COVID-19 has gone). Preventive measures were largely abandoned and interactions in public spaces returned to pre-COVID-19 social and spatial relations. The consequence of this is the second wave of the pandemic. Therefore, this chapter examines the (1) socio-cultural deconstructions of the COVID-19 pandemic, (2) probes the second wave of the pandemic and (3) makes post-COVID-19 public health policy recommendations viz-a-viz prevalent relational cultures. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022, corrected publication 2022.

Stillbirth Grief, Eco-grief and Corona Grief: Reflections on Denialism

This chapter draws on the author's stillbirth experience in August 2019 and her specialization in human rights to explore "disenfranchised grief” (Doka) in the context of current environmental loss and of mourning related to the COVID-19 pandemic. In so doing, the chapter raises seminal questions about what is (non)-human, what is grievable, and how do dehumanization and denialism operate. This work outlines the main parallels between the disenfranchised grief of PAIL (pregnancy and infant loss), the eco-grief of environmental losses, and the grief currently emerging in the COVID-19 pandemic. This chapter explores how historically the grief of stillbirth was rendered taboo until even today. It then draws parallels to the denialism of grief in eco-grief and the COVID-19 pandemic, alluding to examples of dehumanization, disgust, repression of emotions, or techno-medicalization. The chapter investigates ways to counter these disenfranchising discourses by examining how PAIL groups resist this denialism and dehumanization. The chapter scrutinizes discourses of lamentation, embodiment, sentimentalism, and memorialization-to then probe their viability in a post-COVID world. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Covid 19 corruption in the public health sector - Emerging evidence from Bangladesh.

This paper explores the Covid-19-related corruption in Bangladesh. Specifically, we analyse the issue of Covid-19-related corruption in the health sector of Bangladesh. We also explore how denial strategies adapted by government officials have worsened the problem. Using Cohen's (2001) notion of denial strategies, we analyse media reports during the pandemic that highlighted Covid-19-related corruption occurring in the Bangladeshi health sector. Our analyses reveal that the Covid-19 pandemic has given rise to a new wave of corruption, particularly in the procurement of testing kits and personal protective equipment (PPE), as well as the issuance of false COVID-19 certificates. We call for an in-depth investigation of Covid-19-related corruption in Bangladesh and other developing countries that follows similar social, contextual and cultural values via interviews with policymakers and health professionals. Our paper extends the ongoing debate on Covid-19-related corruption and its impacts on the public health sectors.

Long-Term Outcomes of Treatment With and De-Escalation From a Combination of Vedolizumab and Another Biologic or Tofacitinib for Inflammatory Bowel Disease

Introduction: There are scant data on long-term outcomes of treatment of inflammatory bowel disease (IBD) with a combination of advanced therapies, including after de-escalation. Method(s): We identified patients with IBD at a tertiary center who began therapy with vedolizumab (VDZ) in combination with another advanced therapy (biologic or JAK inhibitor) between 2016 and 2020 and examined their outcomes through 6/1/22. We defined biochemical remission as CRP, 5 mg/L and calprotectin < 150 mcg/g, and endoscopic remission as Mayo endoscopic subscore 0 or simple endoscopic score for Crohn's disease (CD) 0. Short-term outcomes of this cohort were previously reported. Result(s): Fourteen patients with a median of 322 (IQR 251-322) weeks of follow up were identified. 10 had ulcerative colitis, 3 CD, and 1 indeterminate colitis. VDZ was combined with tofacitinib in 9 patients, ustekinumab in 3 and adalimumab in 2. Median time on combination therapy was 94 weeks (IQR 17-133). Eight patients achieved objective remission (3 biochemical, 5 endoscopic), 1 changed combination with subsequent endoscopic remission, 2 had primary non-response, 1 had secondary non-response, 1 stopped within 1 month due to reported adverse effect (paresthesia), and 1 lacked follow-up data. Eight patients de-escalated to a single agent, 4 at physician direction and 4 due to insurance denial. Before de-escalation, 6 had objective remission (2 biochemical, 4 endoscopic). After de-escalation, 3 patients maintained objective remission (2 biochemical, 1 endoscopic), 3 had disease flare, of which 1 required colectomy, and 2 lacked data. All 3 patients with disease flare had de-escalated following an insurance denial. Two patients remained on combination therapy through follow up: 1 has endoscopic remission after changing one drug of their combination and 1 has ongoing moderate endoscopic disease despite combination therapy. There were 2 infections requiring hospitalization (rotavirus, C. difficile), and 8 non-serious infections (5 mild SARS-COV-2, 1 peristomal cellulitis, 1 pneumonia, 1 sinus) while on combination therapy. Conclusion(s): In long-term follow up of this small cohort, there were no new signals on effectiveness or safety of combining advanced agents. De-escalation to a single agent was tolerated in half of patients with follow-up data;all patients who flared following de-escalation had adjusted therapy due to insurance denial. More data is needed to inform de-escalation decisions.

Death, actually: Emboldening theory and praxis when death is all around

In this article, we seek to illuminate the public sector relevance of the weighty subject of death, and to identify the stakes in avoiding the subject. Our purpose is to unlearn silence about Public Administration's (PA's) potential role in understanding, communicating, and addressing the avoidable and unavoidable in human death and suffering. At this time, death seems to be all around, and at the same time, nowhere. Contending that the academic field of PA understates the degree to which death features in actual PA practice, this article establishes death's relative absence in the journals of the field before examining obstacles to its presence. We identify and critically examine potential barriers to death's inclusion in PA, suggesting ways forward and intimating that COVID-born openness to recognition and discussion of death is not likely to last without conscious efforts. In illuminating objections and stakes we propose that PA theory and praxis and the public sector itself would benefit by confronting death avoidance, anxiety, and dread with greater and more intentional reflection, deliberation, and literacy on these subjects. [ FROM AUTHOR] Copyright of Administrative Theory & Praxis (Taylor & Francis Ltd) is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Security and Privacy in Wireless Sensor Networks Using Intrusion Detection Models to Detect DDOS and Drdos Attacks: A Survey

Wireless sensor networks (WSN) playa significant role in the collection and transmission of data. The principal data collectors and broadcasters are small wireless sensor nodes. As a result of their disorganized layout, the nodes in this network are vulnerable to intrusion. Every aspect of human life includes some form of technological interaction. While the Covid-19 pandemic has been ongoing, the whole corporate and academic world has gone digital. As a direct result of digitization, there has been a rise in the frequency with which Internet-based systems are attacked and breached. The Distributed Denial of Service (DDoS) and Distributed Reflective Denial of Service (DRDoS) assaults are new and dangerous type of cyberattacks that can quickly bring down any service or application that relies on the Internet's infrastructure. Cybercriminals are always refining their methods of attack and evading detection by using techniques that are out of date. Traditional detection systems are not suited to identify novel DDoS attacks since the volume of data created and stored has expanded exponentially in recent years. This research provides a comprehensive overview of the relevant literature, focusing on deep learning for DDoS and DRDoS detection. Due to the expanding number of loT gadgets, distributed DDoS and DRDoS attacks are becoming more likely and more damaging. Due to their lack of generalizability, current attack detection methods cannot be used for early detection of DDoS and DRDoS, resulting in significant load or service degradation when implemented at the endpoint. In this research, a brief review is performed on the models that are used for identification of DDoS and DRDoS attacks. The working of the existing models and the limitations of the models are briefly analyzed in this research. © 2023 IEEE.

PbDinEHR: A Novel Privacy by Design Developed Framework Using Distributed Data Storage and Sharing for Secure and Scalable Electronic Health Records Management

Privacy in Electronic Health Records (EHR) has become a significant concern in today's rapidly changing world, particularly for personal and sensitive user data. The sheer volume and sensitive nature of patient records require healthcare providers to exercise an intense quantity of caution during EHR implementation. In recent years, various healthcare providers have been hit by ransomware and distributed denial of service attacks, halting many emergency services during COVID-19. Personal data breaches are becoming more common day by day, and privacy concerns are often raised when sharing data across a network, mainly due to transparency and security issues. To tackle this problem, various researchers have proposed privacy-preserving solutions for EHR. However, most solutions do not extensively use Privacy by Design (PbD) mechanisms, distributed data storage and sharing when designing their frameworks, which is the emphasis of this study. To design a framework for Privacy by Design in Electronic Health Records (PbDinEHR) that can preserve the privacy of patients during data collection, storage, access and sharing, we have analysed the fundamental principles of privacy by design and privacy design strategies, and the compatibility of our proposed healthcare principles with Privacy Impact Assessment (PIA), Australian Privacy Principles (APPs) and General Data Protection Regulation (GDPR). To demonstrate the proposed framework, ‘PbDinEHR', we have implemented a Patient Record Management System (PRMS) to create interfaces for patients and healthcare providers. In addition, to provide transparency and security for sharing patients' medical files with various healthcare providers, we have implemented a distributed file system and two permission blockchain networks using the InterPlanetary File System (IPFS) and Ethereum blockchain. This allows us to expand the proposed privacy by design mechanisms in the future to enable healthcare providers, patients, imaging labs and others to share patient-centric data in a transparent manner. The developed framework has been tested and evaluated to ensure user performance, effectiveness, and security. The complete solution is expected to provide progressive resistance in the face of continuous data breaches in the patient information domain.

Assimilation of aircraft observations over the Indian monsoon region: Investigation of the effects of COVID-19 on a reanalysis

Since March 2020, the COVID-19 pandemic has significantly reduced the availability of global aircraft-based observations (ABOs), which has been restored later in 2021. This study focuses on the impact of ABOs on a regional reanalysis. Indian Monsoon Data Assimilation and Analysis (IMDAA) is a regional reanalysis for a period from 1979 to 2020 (originally up to 2018) over India and surrounding regions produced at the National Centre for Medium Range Weather Forecasting (NCMRWF), India, in collaboration with the UK Met Office. A comparison of the impact of ABOs on other conventional and satellite observations assimilated in the NCMRWF global model and IMDAA during 2019 and 2020 revealed the importance of ABOs, particularly in IMDAA, since it did not assimilate the latest satellite data as the IMDAA system was frozen in October 2016. A data denial experiment that removes all the ABOs from the IMDAA assimilation system for a period from March to November 2019 is designed. The results from the IMDAA reanalysis run, which assimilates ABOs during the same period, are compared with the data denial experiment. Assimilation of ABOs strengthened the upper tropospheric circulation, the Tropical Easterly Jet (TEJ), during the Indian summer monsoon compared to the data denial experiment. Analysis of the features of two cyclones that developed over the North Indian Ocean during the study period revealed that ABO assimilation played a key role in simulating the track and intensity of these cyclones when they were in the ‘severe' category. Since the sample is small, more cyclone cases need to be analysed to consolidate the result. © 2023 Royal Meteorological Society.

Emotional Disclosure and Social Judgment

Negative emotions can negatively bias social judgment. However, these emotions can be tempered when expressed, suggesting that emotional disclosure might enable fairer evaluations. Three projects confirmed this prediction. Subjects who disclosed about a past betrayal, compared to those who suppressed, felt closer to their betrayers—the first step toward forgiveness. Disclosing the emotions evoked by viewing an assault, compared with suppressing those feelings, reduced victim blaming. Disclosure did not reduce blaming of victimizers, indicating that disclosure addresses specific emotions rather than calms general arousal. A recent study showed that disclosing a personal travail of any kind promotes acceptance of COVID-19 facts among political conservatives. Collectively, these results indicate that expressing troubling thoughts and feelings can enhance social judgment. © The Author(s) 2023.

On race, human variation, and who gets and dies of sepsis

COVID-19 has highlighted a brutal reality known for decades, that Black, Indigenous, and People of Color bear a disproportionate burden of US annual sepsis cases. While plentiful research funds have been spent investigating genetic reasons for racial disparities in sepsis, an abundance of research shows that sepsis incidence and mortality maps to indicators of colonial practices including residential segregation, economic and marginalization sepsis, and denial of care. Here we argue that sepsis risk is an immunological embodiment of racism in colonial states, that the factors contributing to sepsis disparities are insidious and systemic. We show that regardless of causative pathogen, or host ancestry, racialized people get and die of sepsis most frequently in a pattern repeatedly reiterated worldwide. Lastly, we argue that while alleviation of sepsis disparities requires radical, multiscale intervention, biological anthropologists have a responsibility in this crisis. While some of us can harness our expertise to take on the ground action in sepsis prevention, all of us can leverage our positions as the first point of contact for in depth human biology instruction on most college campuses. As a leading cause of death worldwide, and a syndrome that exhibits the interplay between human physiology, race and environment, sepsis is at the nexus of major themes in biological anthropology and is a natural fit for the field's curriculum. In adopting a discussion of race and sepsis in our courses, we not only develop new research areas but increase public awareness of both sepsis and the factors contributing to uneven sepsis burden.Copyright © 2022 The Authors. American Journal of Biological Anthropology published by Wiley Periodicals LLC.

Survivor's Experiences of Psychological Challenges in COVID-19 Patients: An Internet-based Phenomenological Study

Background: Confirmed and suspected patients with SARS-CoV-2 may fear contagion to others and the severe consequences of the disease. Therefore, they may feel loneliness, denial, anxiety, depression, insomnia, and hopelessness, reducing treatment adherence. Objective(s): This study aimed to discuss the psychological challenges of survivors' experiences in SARS-CoV-2 infection. Method(s): This descriptive phenomenological study explored survivors' experiences of COVID-19 infection. Validated websites' stories and notes were used to collect data. The stories were transcribed and analyzed by Colaizzi's phenomenological analysis method. The authors screened the transcribed texts, extracted and summarized meaningful statements, and reported the themes indepen-dently. In addition, six criteria of authority, accuracy, objectivity, currency, coverage, and appearance were considered for evaluating web page quality. The data were analyzed using MAXQDA 10 software. Result(s): A total of 45 patients' stories with COVID-19 were analyzed. Four general themes and 11 sub-themes were extracted via reading stories and extracting themes, including stigma (the sub-themes of embarrassment, defame, and Hopelessness), horror (sub-themes of denial, not professional experience, and toward death), different lifestyles (the sub-themes of change, unfriended, and sleeplessness), and freedom (two sub-themes of calmness and Rescue). Conclusion(s): Based on the studies, the participants reported high rates of symptoms of fear, change, insomnia, and horror. Sup-porting COVID-19 patients in these critical conditions is one of the essential components of acute care measures. Specific interventions to promote mental health in exposed patients should be applied immediately and require special attention.Copyright © 2023, Journal of Kermanshah University of Medical Sciences.

Judicial protection of the right to health in the context of Covid-19 and populism in Brazil

Background: The Covid-19 pandemic has brought new challenges to the health systems of Latin America. However, the institutions and mechanisms created by the Social State of Law were unable to confront these new risks. As a result of that, populist governments have used this crisis as an opportunity to deepen the high levels of inequalities through the appropriation of power, wealth and social welfare. Courts have also reacted in order to guarantee the right to health;however, many challenges remain. Objective: To examine the challenges and opportunities of the judicial protection of the right to health in the context of Covid-19 and Populism in Brazil. Methodology: Qualitative, descriptive and exploratory. Documentary research was carried out by reviewing databases such as Scholar, PubMed, and Scopus. Indexed articles, jurisprudence, legislation, and literature were also reviewed. Additional publications were also identified through other sources. Results: There is an inversely proportional relationship between the intensity of the crisis and the level of judicial activism on the part of the Courts. Therefore, the more the scale and intensity of the crisis generated by populist governments in the context of pandemics, uncertainty, and inequality the more reflexive, and strategic courts should be and the more protection, defense and monitoring should be promoted in order to ensure the fulfilment of the right to the highest attainable level of health especially of the most vulnerable. On the other hand, the more compliance through the availability of health goods and services, and the more availability of health workers with better salaries, social security and working conditions the more resilient the State will be to face emergencies, which at the same time will promote fewer restrictions on fundamental rights. Conclusions: Courts play a special role in protecting the right to health, especially in the context of emergencies and crises. States must adopt measures by using the maximum available resources in order to protect the right to the highest attainable standard of health.

BLOCOVID: A blockchain-based COVID-19 digital vaccination certificate verification system

The global impact of the COVID-19 pandemic has been felt in diverse ways. Although the death rate in Africa has not been as devastating as predicted by the World Health Organization (WHO), its economic and social impact has been fully felt by the African continent. As the world goes through the vaccination process to achieve herd immunity, Africa has not only faced problems like the inability to produce and procure vaccines, but some countries in the west are doubting the authenticity of the vaccination process and even vaccine certificates coming from various countries on the continent. The approach of using centralized systems to validate COVID-19 vaccine certificates makes these systems susceptible to Denial of Service (DoS), modification, and Man-in-The-Middle (MiTM) attacks. To curb this problem, we proposed a blockchain-based digital COVID-19 vaccination certificate verification system called BLOCOVID. The proposed system uses the decentralized approach of distributed ledgers to ensure that vaccine certificates are secured, immutable, and verifiable. Our proposed system stores vaccine serial numbers and their corresponding certificates as hash values. These hash values are stored on the blockchain network as transaction values. The authenticity of a vaccine certificate is determined by the availability of the hash values of the certificate and its corresponding vaccine serial number on the blockchain network. The proposed system was simulated using the BlockSim simulator. To begin with, the simulation results show that the proposed system can ensure system availability, thereby minimizing DoS attacks. Secondly, the proposed system can ensure the integrity of vaccine certificates by allowing third parties to verify the authenticity of these certificates. The simulation results show that even with 10240 nodes, the average transaction time was 137.2ms, with a total transaction rate of 9911.034 transactions per second. © 2022 IEEE.

FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing

Cloud computing offers a broad range of resource pools for conserving a huge quantity of information. Due to the intrusion of attackers, the information that exists in the cloud is threatened. Distributed Denial of Service (DDoS) attack is the main reason for attacks in the cloud. In this study, a Fractional Anti Corona Virus Optimization-based Deep Neuro-Fuzzy Network (FACVO-based DNFN) is devised for detecting DDoS in the cloud. The production of log files, feature fusion, data augmentation, and DDoS attack detection is the processing stages involved in this phase of the DDoS attack detection process. The feature fusion is carried out by RV coefficient and Deep Quantum Neural Network (Deep QNN), and the data augmentation is performed. Then, the Anti Corona Virus Optimization (ACVO) method and Fractional Calculus (FC) are both incorporated to create the FACVO algorithm. The DNFN is trained by the created FACVO algorithm, which identifies the DDoS attack. The proposed approach achieved testing accuracy, TPR, TNR, and precision values of 0.9304, 0.9088, 0.9293, and 0.8745 for using the NSL-KDD dataset without attack, and 0.9200, 0.8991, 0.9015, and 0.8648 for using the BoT-IoT dataset without attack. [ FROM AUTHOR]

COVID-19 mortality in Brazil, 2020-21: consequences of the pandemic inadequate management.

BACKGROUND: The COVID-19 pandemic brought countless challenges to public health and highlighted the Brazilian health system vulnerabilities in facing the emergency. In this article, we analyze data on COVID-19-related deaths in 2020-21 to show the epidemic consequences in Brazil. METHODS: The Mortality Information System and the Live Birth Information System were the primary information sources. We used population estimates in 2020-21 to calculate COVID-19 specific mortality rates by age, sex, and educational level. Considering the total number of COVID-19 deaths in 2020-21, the COVID-19 proportional mortality (%) was estimated for each age group and sex. A graph of the daily number of deaths from January 2020 to December 2021 by sex was elaborated to show the temporal evolution of COVID-19 deaths in Brazil. In addition, four indicators related to COVID-19 mortality were estimated: infant mortality rate (IMR); maternal mortality ratio (MMR); number and rate of orphans due to mother's COVID-19 death; the average number of years lost. RESULTS: The overall COVID-19 mortality rate was 14.8 (/10,000). The mortality rates increase with age and show a decreasing gradient with higher schooling. The rate among illiterate people was 38.8/10,000, three times higher than a college education. Male mortality was 31% higher than female mortality. COVID-19 deaths represented 19.1% of all deaths, with the highest proportions in the age group of 40-59 years. The average number of years lost due to COVID-19 was 19 years. The MMR due to COVID-19 was 35.7 per 100,000 live births (LB), representing 37.4% of the overall MMR. Regarding the number of orphans due to COVID-19, we estimated that 40,830 children under 18 lost their mothers during the epidemic, with an orphans' rate of 7.5/10,000 children aged 0-17 years. The IMR was 11.7 per 1000 LB, with 0.2 caused by COVID-19. The peak of COVID-19 deaths occurred in March 2021, reaching almost 4000 COVID-19 deaths per day, higher than the average number of deaths per day from all causes in 2019. CONCLUSIONS: The delay in adopting public health measures necessary to control the epidemic has exacerbated the spread of the disease, resulting in several avoidable deaths.

FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing

Cloud computing offers a broad range of resource pools for conserving a huge quantity of information. Due to the intrusion of attackers, the information that exists in the cloud is threatened. Distributed Denial of Service (DDoS) attack is the main reason for attacks in the cloud. In this study, a Fractional Anti Corona Virus Optimization-based Deep Neuro-Fuzzy Network (FACVO-based DNFN) is devised for detecting DDoS in the cloud. The production of log files, feature fusion, data augmentation, and DDoS attack detection is the processing stages involved in this phase of the DDoS attack detection process. The feature fusion is carried out by RV coefficient and Deep Quantum Neural Network (Deep QNN), and the data augmentation is performed. Then, the Anti Corona Virus Optimization (ACVO) method and Fractional Calculus (FC) are both incorporated to create the FACVO algorithm. The DNFN is trained by the created FACVO algorithm, which identifies the DDoS attack. The proposed approach achieved testing accuracy, TPR, TNR, and precision values of 0.9304, 0.9088, 0.9293, and 0.8745 for using the NSL-KDD dataset without attack, and 0.9200, 0.8991, 0.9015, and 0.8648 for using the BoT-IoT dataset without attack.

Are Attitudes towards COVID-19 Pandemic Related to Subjective Physical and Mental Health?

In this paper, we investigate the relationship between a person's psychological distress, subjective physical health and their attitudes towards the COVID-19 pandemic. The evaluation was performed on the basis of data from two waves of the Saxon Longitudinal Study, carried out in 2019 (pre-pandemic) and 2021. The number of study participants in both waves was 291. We tested in autoregressive cross-lagged models the stability of the respondents' health status before and during the pandemic and reviewed their influence on attitudes towards COVID-19. Our results show that COVID-19-related concerns are controlled by subjective physical health, while pandemic denial is linked to psychological distress. In an unknown and critical situation, with limited control over the situation, the strategy of avoidance or suppression may be used by individuals for protection by psychologically downplaying the stressor and danger.

An approach for DoS attack detection in cloud computing using sine cosine anti coronavirus optimized deep maxout network

Purpose The Denial of Service (DoS) attack is a category of intrusion that devours various services and resources of the organization by the dispersal of unusable traffic, so that reliable users are not capable of getting benefit from the services. In general, the DoS attackers preserve their independence by collaborating several victim machines and following authentic network traffic, which makes it more complex to detect the attack. Thus, these issues and demerits faced by existing DoS attack recognition schemes in cloud are specified as a major challenge to inventing a new attack recognition method. Design/methodology/approach This paper aims to detect DoS attack detection scheme, termed as sine cosine anti coronavirus optimization (SCACVO)-driven deep maxout network (DMN). The recorded log file is considered in this method for the attack detection process. Significant features are chosen based on Pearson correlation in the feature selection phase. The over sampling scheme is applied in the data augmentation phase, and then the attack detection is done using DMN. The DMN is trained by the SCACVO algorithm, which is formed by combining sine cosine optimization and anti-corona virus optimization techniques. Findings The SCACVO-based DMN offers maximum testing accuracy, true positive rate and true negative rate of 0.9412, 0.9541 and 0.9178, respectively. Originality/value The DoS attack detection using the proposed model is accurate and improves the effectiveness of the detection.

Mental health and COVID-1919: A review on post-pandemic mental health implications and its response in the context of India

Background - Mental health care and concerns are usually overlooked when there are limited resources available to contain the pandemic. In this global COVID-19 crisis, mental health issues have increased and became one of the most underrated and widespread health concerns globally. Objectives - This study is an attempt to review the existing mental health concerns in the post-pandemic era through various strategies related to mental health care and global experiences with special emphasis on the context of India. By reviewing existing evidence, this study proposes recommendations and conceptual framework for mental health concerns in the pandemic. Methodology - The researchers have searched through Google Scholar and various electronic databases like PubMed, Web of Science, SCOPUS, etc. with the search terms like "psychiatry", "mental health", "COVID-19", "Coronavirus", "SARS-CoV-2", "anxiety", "stress", "depression", etc. in several combinations. They compiled information from published magazines, newspaper articles, journals, official websites of several NGOs and institutions and web pages, press releases, verified pages on social media, etc. Results - Some of the common health concerns reported were anxiety, stress, insomnia, depression, anger, denial, and fear. Some of the most vulnerable groups were older people and children, people with current mental health problems, and frontline workers. Suicide attempts were also very common amidst the pandemic. A lot of measures are taken across the world to address issues related to mental health by using intervention strategies and guidelines. Social media has played a great role in this context. State-sponsored intervention, toll-free numbers to address behavioral and psychological problems and tele-psychiatry consultations have been provided by the Indian government. Conclusion - A need-based intervention approach is needed that is specific to vulnerable groups with a positive approach and risk management strategies at par with epidemiology of Coronavirus evolving these days. Prioritization and planning of mental health care would be instrumental in serving the most vulnerable population. © 2022 International Journal of Health Sciences. All rights reserved.