Factors Determining Covid-19 Vaccine Acceptance: An Empirical Investigation from India

The COVID-19 pandemic is far from over, caused by severe acute respiratory disease. Coronavirus2 continues to impact people's health and well-being worldwide significantly, and vaccination is the only way to stop the spread. As vaccines are developed, one of the Indian government's major challenges is vaccine adoption. The Indian government and policymakers should develop a plan to encourage and build trust in people for vaccine benefits. This study aims to identify the major issues acting as a barrier to vaccine hesitancy using primary data obtained in India between January-March 2021. This study shows that the 76% respondents were ready to accept the vaccine if it is available to them while 24% were hesitant. The study has investigated the association of demographic and geographical information of people with vaccines acceptance. The study has found that older people were more likely to accept the vaccines in comparison to young adults. A significant difference in vaccine acceptance due to the participants belonging to rural/urban areas is also observed. Additionally, we also noted that the educated people and working professionals were more likely to accept the vaccine than others. The study's findings may be beneficial to the government in developing efficient vaccination acceptance strategies for the Indian populace.

Posthuman and pandemic elements in the feminist retellings of fairy tales in Marissa Meyer's Lunar Chronicles

Fairy tales have transcended time, space, context and their original media of propagation. Retelling or reworking familiar fairy-tale tropes has long been a literary tradition which still enjoys a position of popularity in contemporary times. This process revivifies seamlessly the literary endeavours of the ancient as well as the medieval authors. This paper explores how the Lunar Chronicles by Marissa Meyer, while being a feminist retelling of fairy tales, deals with posthuman concepts of biological warfare, genetic modifications, cyborgs and authoritarian autocratic regimes, set in the context of a raging pandemic sometime in the future retaining considerable literary integrity. The novels draw on the fairy tales of Cinderella, Red Riding Hood, Rapunzel and Snow White, and chronicle the eponymous female protagonists Cinder, Scarlet, Cress and Winter who take action, claim agency and collaborate to bring down the autocratic regime of the Lunar Queen Levana who in pursuit of sole ownership of natural resources, engages in murder, ruthlessly creating genetically modified hybrid super soldiers and a bio engineered pandemic. This study chronicles the posthuman facets which set the works in the foreseeable future. This paper also identifies and analyses the similarities between the strands of the fictional Letumosis pandemic and the recent COVID-19 pandemic and the significance in how fictional works can predict human response. These fairy tale retellings go to demonstrate that the tales sustain their relevance through reinterpretations and retellings that address contemporary concerns. © 2022 The Korean Association of Speech-Language Pathologists.

In silico investigations of the multi-targeted antiviral potential of small molecule phytochemicals of Nelumbo nucifera Gaertn. seed extracts against SARS-CoV-2 for therapeutics of COVID-19

The therapeutics of COVID-2 was significantly obtained from nutraceutical approaches based on traditional knowledges and long practices. The current study was aimed to investigate antiviral potential of small molecule phytochemicals of seeds of Nelumbo nucifera against the SARS-CoV-2 proteins. GC–MS analysis resulted in identifying 12 dominating small molecule phytocompounds from the seed extracts of the N. nucifera. Further, we selected RNA-dependent RNA polymerases (RdRps), spike protein, and M protein of SARS-CoV-2 as antiviral targets and performed in silico analyses, including protein docking (ligands), ADMET predictions, and molecular dynamics (MD). The studies revealed that the molecular interactions (protein–ligands) of three target proteins, namely, RdRp, spike protein, and M-protein, have significant binding energies with three different substrates, namely, 1-(8′-methylquinolin-2′-yl)-2,3,4-tri(methoxycarbonyl)-6-(1″,2″-di(methoxycarbonyl)vinyloxy)benzene (binding energy −5.84 kcal/mol) 2(1H)-pyrimidinone, 5-chloro-4,6-diphenyl (binding energy −6.60 kcal/mol), and nickel, [2,8,12,18-tetraethyl-3,7,13,17-tetramethyl-21H,23H-porphinato(2-)-N21,N22,N23,N24]-, (SP-4-1) (binding energy −7.02 kcal/mol), respectively. The ADMET predictions show significant pharmacokinetic profiles of the druggability of the three compounds of different targets. The pharmacokinetic activities critical to predicting stages of the drug development process are gastrointestinal absorption and brain access. The MD simulation showed that the systems were stable, referring to them as a potentially effective treatment for SARS-CoV-2. Therefore, a possible initiative has been taken to evaluate three potent small molecules of antiviral phytocompounds made from typically edible N. nucifera seed to support the nutraceutical approach to COVID-19 therapeutics. © 2022 The Authors. Food Frontiers published by John Wiley & Sons Australia, Ltd and Nanchang University, Northwest University, Jiangsu University, Zhejiang University, Fujian Agriculture and Forestry University.

Dual-Hop Direct Diffusion Routing Protocol for Energy-Efficient Wireless Sensor Network

In this COVID-19 pandemic situation, health care is on the priority of every human being. The recent development in the miniaturization of intelligent devices has opened many opportunities and played a crucial role in the healthcare industry. The amalgamation of wireless sensor network and Internet of Things is the best example of wireless body area network. These tiny sensor devices have two essential evaluation parameters named as energy efficiency and stability while performing in a group. This paper focuses on various issues of the healthcare system and their solutions. An energy-efficient routing protocol that can provide sensed data to the collection centre or data hub for further processing and treatment of the patients is proposed. Here, we fixed zones for sending data to zone head using distance aware routing, and then zone head send the aggregated data to the data hub. It is better than the low energy adaptive clustering hierarchy (LEACH) by 42% and distance-based residual energy-efficient protocol (DREEP) by 30% in energy efficiency and stability 58% more by LEACH and 39% by DREEP. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

USER’S INVOLVEMENT IN THE INFORMATION FLOW PARADIGM ON SOCIAL NETWORKING SITES DURING COVID-19: A STRUCTURAL EQUATION MODELLING APPROACH

This study tries to determine if social media argument quality, social media source credibility and perceived usefulness can predict information adoption by the user shared through social media platforms. Data was collected from 376 social media users through online surveys that helped gauge user behavior. The results of the study revealed that perceived usefulness is not a predictor of information adoption. The results of the study revealed that perceived usefulness is not a predictor of information adoption but there is a significant relationship between information adoption and participatory behavior especially when the information is shared through social media networks. The study would help its stakeholders understand the predictors of information adoption. It reveals the importance of credibility of the source Moreover, the central point at issue is still argument quality. Acceptance of the information would lead to the participatory behavior by the user. In this study information exchange and user-generated content have both benefited from social networking. © 2022. Journal of Content, Community and Communication. All Rights Reserved.

RESTRICTED INFECTION of MACROPHAGES by SARS-CoV-2 INDUCES PROINFLAMMATORY RESPONSES

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been associated with immune hyperactivation and high levels of proinflammatory cytokines. Extensive lung infiltration by CD169+ inflammatory monocytes and presence of activated CD169+ alveolar macrophages suggest monocyte/macrophages are key drivers of severe morbidity and mortality. In this study, we determined whether CD169 mediated ACE2-independent SARS-CoV-2 entry and restricted viral genome replication in macrophages triggers pro-inflammatory cytokine expression. Methods: Monocyte-derived macrophages (MDMs) and PMA-differentiated THP-1 macrophages engineered to constitutively express CD169, ACE2, or CD169 and ACE2 were infected with USA-WA1/2020/SARS-CoV-2 isolate with or without Remdesivir pre-treatment. To identify mechanism of innate immune activation, nucleic acid sensing pathways were selectively depleted in CD169+ macrophages. Extent of viral genomic (gRNA) and sub-genomic (sgRNA) expression and induction of pro-inflammatory cytokines was determined by qRT-PCR and single molecule RNA FISH analysis. Viral protein expression and infectious virus particle production was determined by immunofluorescence analysis and TCID50. Results: While productive virus infection (viral protein expression and infectious virus particle release) was only observed in ACE2+ macrophages, SARS-CoV-2 N or S expression and infectious virus production was not observed in CD169+ macrophages. Co-expression of ACE2 and CD169 significantly enhanced infectious virus production and spread. Interestingly, smFISH and RT-qPCR analysis revealed CD169+ cells express cytosolic negative-strand gRNA and positive strand sgRNA. Importantly, CD169-mediated SARS-CoV-2 infection of macrophages and expression of viral mRNAs led to induction of pro-inflammatory cytokines, IL-6, TNFα, and IL-1β, despite lack of viral protein expression in CD169+ macrophages. Pre-treatment with Remdesivir blocked de novo expression of viral mRNAs and induction of inflammatory cytokines in CD169-dependent infection of macrophages. Furthermore, knockdown of cytosolic RLRs (RIG-I and MDA-5) or MAVS significantly attenuated inflammatory cytokine expression in CD169+ macrophages, confirming that nucleic acid sensing of restricted cytosolic viral mRNA expression in macrophages triggers innate immune activation. Conclusion: These results suggest that restricted SARS-CoV-2 infection of CD169+ macrophages contributes to COVID-19-associated hyperinflammatory cytokine response.

Subclinical left and right ventricular dysfunction in COVID-19 recovered patients using speckle tracking echocardiography

Introduction: Myocardial injury during acute COVID-19 infection is well characterised however, its persistence during recovery is unclear. Purpose: We assessed left ventricle (LV) global longitudinal strain (GLS) and right ventricular (RV) free wall longitudinal strain and RV global longitudinal strain (RV-GLS) using speckle tracking echocardiography (STE) in COVID-19 recovered patients (30-45 days post recovery) and studied its correlation with various parameters. Methods: of the 245 subjects screened, a total of 53 subjects recovered from COVID-19 infection and normal LV ejection fraction were enrolled. Routine blood investigations, inflammatory markers (on admission) and comprehensive echocardiography including STE were done for all. Results: All the 53 subjects were symptomatic during COVID-19 illness and were categorized as mild: 27 (50.9%), moderate: 20 (37.7%) and severe: 6 (11.4%) COVID-19 illness. Reduced LV GLS was reported in 22 (41.5%), reduced RV-GLS in 23 (43.4%) and reduced RVFWS in 22 (41.5%) patients respectively. LVGLS was significantly lower in patients recovered from severe illness (mild: -20.3 ± 1.7%;moderate: -15.3 ± 3.4%;severe: -10.7 ± 5.1%;P < 0.0001). Similarly, RVGLS (mild: -21.8 ± 2.8%;moderate: -16.8 ± 4.8%;severe: -9.7 ± 4.6%;P < 0.0001) and RVFWS (mild: -23.0 ± 4.1%;moderate: -18.1 ± 5.5%;severe: -9.3 ± 4.4%;P < 0.0001) were significantly lower in subjects with severe COVID-19. Subjects with reduced LVGLS as well as RVGLS and RVFWS had significantly higher interleukin-6, C-reactive protein, lactate dehydrogenase and serum ferritin levels during index admission. Conclusions: Subclinical LV and RV dysfunction was seen in majority of COVID-19 recovered patients. Patients with severe disease during index admission had far lower LV and RVGLS as compared to mild and moderate cases. Our study highlights the need for close follow-up of COVID-19 recovered subjects in order to determine the long-term cardiovascular outcomes.

Applications of green nanomaterials in coatings

Green nanotechnology produces nanomaterials and nanoproducts without impairing the environment and living organisms and also provides a way to deal with environmental problems. Green-synthesized nanomaterials from biological systems are a superior biomimetic engineered methodology for the synthesis of nanostructured materials, and are reflected as secure, cost-effective, realistic, and environmentally friendly methodology without toxic ingredients, and renewable inputs. Currently, green nanotechnology is an incredible and interdisciplinary field that has come out as a safe and rapidly emergent research area of many disciplines of research and development. Various kinds of natural biological sources such as plants, phototrophic eukaryotes, namely, algae, microbes, biopolymers, bacteria, actinomycetes, fungi, yeasts, virus, and many biocompatible agents are capable of reducing metal ions to metal nanoparticles. These are also utilized as efficient and environmentally friendly green nanofactories for the production of different metal and metal oxide nanoparticles.The use of green nanomaterial-based technology in various coating industries is a current interest of many researchers. The integration of nanostructured materials in preferred coatings enhances product qualities in terms of chemical and corrosion resistance, antireflection, wear resistance, permeability with state-of-art electrical, mechanical, and surface properties. The green nanotechnology involves coatings including the use of nanoparticles as resource materials, in situ, of nanostructure coatings comprised of nanostructured thin films.Green nanomaterials for application in various coatings, such as anticorrosion coatings, ultraviolet (UV) protective coatings, coatings for making buildings and homes cleaner and stronger, sensors, self-cleaning coatings, depolluting coatings, antifogging coatings, anti-COVID coating, antifouling coatings, antigraffiti coatings, carbon nanotube (CNT)-based coatings, paint coatings, fabric nanocoatings to thwart certain chemical weapons, textile coatings, antibacterial and antifungal coatings, hydrophobic and hydrophilic coatings, are currently commercially available and an immense interest area of research for materials scientists and technologist.This chapter mainly highlights and reviews the fabrication of green nanomaterials in brief with wide-scale state-of-the-art applications of green nanomaterials in coatings for using in various fields such as medical, buildings, energy storage, sensing, agriculture, textiles and allied industrial segments, etc. © 2022 Elsevier Inc. All rights reserved.

An Efficient Exploratory Demographic Data Analytics Using Preprocessed Autoregressive Integrated Moving Average

The demographic dividend is an essential measure of the growth and development of a country. It refers to the economy’s growth due to a shift in the age structure in the country’s population. In India, around 90% of the population is under the age of 60, which is a stark contrast compared to the world, where more than 20% of the population lies above 60. Such a young population ensures that the working-age group will be vibrant in the coming years, adding to the country’s overall productivity. Today, COVID has caused much damage to an already vibrant economy, because of which millions of people have lost their jobs and have had to migrate back to their hometowns. To recover from this severe damage and take stock of the existing and incoming workforce, it is necessary to identify and analyze the current population that lies in suitable age ranges and understand how to use them optimally. Therefore, analyzing the demographic dividend to identify the workforce of the country becomes an essential task. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Rethinking Management and Promotion of Tourist Destinations Amidst COVID-19: Good Practices and Challenges

The unprecedented COVID-19 pandemic has set a massive impact on the tourism industry through border closures, lockdowns and collapse of air travel. This conceptual research focuses on how tourism destinations strive to manage the health crisis and promote tourism amidst COVID-19. To achieve this, it analyses health crisis management in previous pandemic like situations, through the measures and problems that were dealt with as lessons learnt;highlights the impacts of COVID-19;identifies current practices and challenges of selected countries such as USA, Italy, Singapore, Japan, Greece, China, and Spain. Countries chosen for this research are either reliant on tourism or have dealt with the pandemic in many ways resulting in altered numbers of cases and deaths. The study adopts a qualitative approach, in analysing data derived from different sources such as official websites, social media campaigns, news and destination press releases on governmental actions of different countries and literature related to crisis management. Firstly, by identifying responses and measures taken to plan, support and promote tourism amidst COVID-19. Followed by thematically analysis using pre-decided themes of ‘good practices and challenges’ for tourism. The findings indicate the different good practices adopted by governments in assisting to manage this crisis and promoting the destinations through several campaigns to revive. It highlights challenges in planning, development and promotion amidst COVID-19 and proposes an integrated strategy for better crisis management. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Immune Thrombocytopenia Post Covishield Vaccination

Introduction: Immune thrombocytopenia (ITP) after COVID-19vaccination is being increasingly reported worldwide.Aims &Objectives: We present five cases of ITP following theAstraZeneca Covishield vaccination.Materials &Methods: We retrospectively collected data on patientspresenting with immune thrombocytopenia post-Covishield vaccination at the Department of Hematology, AIIMS, New Delhi.Result: 5 patients diagnosed with ITP followingAstraZeneca Covishieldvaccination were included. Themedian age at diagnosis in our cohortwas44 years (21-67 years). Of the 5 patients, 2 are female and 3 aremale. Allof them received the Astrazeneca Covishield vaccine. Most of thepatients presented with petechiae and wet purpura with the onset ofsymptoms between 7-20 days (median 15 days) post-vaccination. All ofthese patients had severe thrombocytopenia at presentationwith amedianplatelet count of 7 × 109/l (range 1-14 × 109/l). Anti PF4 antibodytesting was done in two patients which were negative.Therapy details include IVIG (3), steroids (4), eltrombopag (2),azathioprine (1), and platelet transfusions (2). Of these, two patientshad no response to first-line therapies. One patient did not respond toIVIG, steroids, azathioprine, and subsequently developed anintracranial bleed. He was managed with platelet transfusions, IVIG,steroids, and eltrombopag. His platelet counts have stabilized at50 × 109/l and he did not have further bleeding manifestations. Atthe last follow-up, 80% (n = 4) of our patients have achieved aresponse.Conclusions: Immune thrombocytopenia is being increasingly recognized post-COVID vaccination. All our patients had severethrombocytopenia requiring therapy. The question of whether thesecases are actually primary ITP coinciding with the administration ofthe vaccine or ITP secondary to vaccination remains unanswered.Additional surveillance is needed to determine the true incidence ofCOVID-19 vaccine-induced ITP.

Study and Development of Self Sanitizing Smart Elevator

The year 2020 will always be remembered as the year of a global pandemic. With many places gradually emerging out of lock-downs, the thought of concerted existence amid COVID-19 is being revisited. One such problem is the use of elevators in any building, use of elevators in the times of COVID can be very risky in the transmission of virus. Based on this hypothesis, this paper presents a methodology for maintaining sanitization and security, by incorporating facial recognition in elevators. These elevators are designed to work using voice commands making them completely contactless, also this system includes a thermal sensor to measure the body temperature of every user and notify everyone around them. Using all these different sensors embedded in machine, the device can do much more than an ordinary elevator and can act as a modern smart device that is capable of solving all the problems single handedly. The key aim of this research paper is to demonstrate how various modules function together to accomplish a common goal: to render the experience of moving between floors smart and sanitary during COVID. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Effect of isoproterenol and thyroxine in herbal drug used as cardiac hypertrophy

OBJECTIVE The impact of A. calamus extract and C. Pereira extract on heart hypertrophy caused by isoproterenol. A. calamus extract & C. Pereira extract on heart hypertrophy by thyroxine. MATERIAL AND METHOD a. Animal House Pharmacy School (Wistar rats), measuring 180-250 grammes, BIT Meerut (UP). One week before the research began, they were kept separately in polypropylene cages in a quarantine room. b. C. Pareira and A. calamus rhizomes from the School of Pharmacy at the Medicinal Garden, BIT, Merrut, UP, India. METHODS Influence of C. Pareria Extract on Isoproterenol- induced cardiac hypertrophy in rats. Influence of A. Calamus Extract on Isoproterenol- induced cardiac hypertrophy in rats. Influence of C. Pareria Extract on Thyroxine- induced cardiac hypertrophy in rats Influence of A Calamus Extract on Thyroxine- induced cardiac hypertrophy in rats. RESULTS In comparison with control and C. Pareira and A. Calamus as well as amlodipine treated groups in the ISO treatment community, no major alteration was identified in the MAP. There was no MAP change in T4 compared with controls and groups C. pareira and amlodipine treated with T4. Significantly increased T4 (P < O.O1) HR administration against power.No significant change in HR was detected in C. Pareira and A. calamus. CONCULSION Cissampelos pareira and Acorn calamus effect in cardiac hypertrophy induced by isoproterenol Isoproterenol chronic administration (5 mg/lcg/day, 30 days), cardiac hypertrophy, cardiac weight ratio, angiotensin II, tumour factor necrosis, calcineurin, oxide/reactive nitrients, NaV K'

Prevention, Diagnosis and Treatment of COVID-19: A Nanotechnological Perspective

Background: According to the current scenario with millions of deaths worldwide, the outbreak of COVID-19 has created global havoc. The vast spreading of COVID-19 has already challenged the healthcare system and economy of the world. Every country is now putting the best efforts to develop its standards, strategies, and policies to fight against this pandemic. Therefore, a huge amount of research grants is allocated for the diagnosis and treatment of COVID-19 globally. Objective: Scientists/researchers around the world are working in different fields, i.e., biological, physical, and chemical sciences, and have collaborated for an effective outcome to combat this pandemic. In light of the above-mentioned challenges, the researchers of the nanotechnology community can also contribute significantly in this direction. Results: As team members of the nanotechnology community, we suggest various research targets that can be designed/improved, optimized, and developed by nanotechnologists. These research targets include Point-of-care diagnostics (POCD), Surveillance and monitoring, Therapeutics, Vaccine development, Improving existing drugs with potential therapeutic applications, Developing antiviral nanocoating/antimicrobial spray-based coating for PPE, Magnetic nanoparticles and viral RNA (Ribonucleic acid), and Rapid detection kits. Conclusion: It can be concluded that multiple areas, such as the development of nano-biosensor based diagnostic technology (capable to produce fast and accurate results), development of nano encapsulated drugs/vaccines or other efficient systems, testing/improving existing drugs with potential therapeutic applications, developing antiviral nanocoating/antimicrobial spray-based coating for PPE, etc., need immediate attention.

COVID 19 coexistance with tuberculosis, a potential worst synergistic effect to mankind

The coronavirus responsible for this pandemic, extreme acute respiratory syndrome coronavirus 2 (SARS-CoV-2) appeared in January/February 2020, having arisen in China in late 2019. Despite the fact that COVID-19 tends to rule the science literature and the newspapers, other communicable disorders, such as tuberculosis (TB), should not be overlooked. The COVID-19 pandemic, which was caused by the novel corona virus extreme acute respiratory syndrome corona virus 2 (SARS-CoV-2), has wreaked havoc on the world's global public health systems. As per Statistics by ministry of health and Family Welfare, Government of India displayed on mohfw.gov.in, India accounts for 2552940 Active cases of covid 19 and 13867997 discharged till 24 April 2021 with 189544 deaths. The deaths among country is 1.14%. The data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) reveals total Covid 19 cases worldwide 145943305 and recovered cases are 84040856 with 3091553 deaths till 24th April 2021. Due to nationwide lockout and infection prevention measures, the COVID-19 pandemic has imposed major limits on 'face to face' evaluations and travel of citizens. The recent COVID-19 pandemic has wreaked havoc on tuberculosis patients. According to the Government of India's Central TB Nikshay portal, the number of new TB cases diagnosed has dropped dramatically since the lockout.As of April 27, 2020, the total number of new tuberculosis cases detected in government healthcare centers was 34,342, down from 1,56,000 cases in April of 2019, a 78 percent decline.

Analysis of infectious disease transmission and prediction through SEIQR epidemic model

In literature, various mathematical models have been developed to have a better insight into the transmission dynamics and control the spread of infectious diseases. Aiming to explore more about various aspects of infectious diseases, in this work, we propose conceptual mathematical model through a SEIQR (Susceptible-Exposed-Infected-Quarantined-Recovered) mathematical model and its control measurement. We establish the positivity and boundedness of the solutions. We also compute the basic reproduction number and investigate the stability of equilibria for its epidemiological relevance. To validate the model and estimate the parameters to predict the disease spread, we consider the special case for COVID-19 to study the real cases of infected cases from [2] for Russia and India. For better insight, in addition to mathematical model, a history based LSTM model is trained to learn temporal patterns in COVID-19 time series and predict future trends. In the end, the future predictions from mathematical model and the LSTM based model are compared to generate reliable results. © 2021 Nonautonomous Dynamical Systems. All right reserved.

Review of latest potential treatment modalities in SARS-CoV-2

The ongoing Coronavirus Disease-2019 (COVID-19) pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) can cause illnesses that vary from asymptomatic or paucisymptomatic conditions to Acute Respiratory Distress Syndrome (ARDS) or respiratory failure requiring ventilator support or sepsis and multiple organ dysfunction syndromes. Timely treatment and appropriate management of COVID-19 diseased patients is crucial to curb the morbidity and mortality rates. Much of the research is focused on formulating preventive and therapeutic strategies based on the complex pathophysiology of this disease. New drugs targeting viral entry into host cells, inhibiting viral Proteases, viral RNA Polymerases (RdRp), transport channels, and the drugs with multicentric action, immunomodulators and adjuvants are being researched upon. Other management modalities like regenerative medicine and the use of convalescent plasma therapy have been explored. This review is aimed at the therapeutic aspects of the treatment and management modalities.

Covid-19 outbreak: An epidemic analysis using time series prediction model

Coronavirus (COVID-19) epidemic affects public health infrastructure across the world. The outbreak is considered as third major Coronavirus epidemic after SARS (Severe Acute Respiratory Syndrome) in the year 2002-2003 and MERS (Middle East Respiratory Syndrome) in 2015 since past 2 decades. It has been observed that the nature of growth of coronavirus is exponential. It has been tough to control and analyze the situation with limited human resource and treatment process must be carried for the large number of patients within an appropriate time. So, it has become obligatory to work on an automated model, grounded on computing approach, for curative measure. This paper concludes a Time Series Forecasting model and analyze the COVID-19 epidemic occurrence to check whether these numbers are going to be increased or decreased in near future. Statistical pattern analysis and data visualization is performed with widely accepted time series approaches as Auto-Regressive Integrated Moving Average (ARIMA) and its constituents Moving Average (MA) and Auto Regressive (AR). Finally, time-dependent parameters can enlighten the trends of the outbreak COVID-19 in India. © 2021 IEEE