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This paper emphasises the analysing sentiment of Indian citizens based on Twitter data using machine learning (ML) based approaches. The sentiment of about 1,51,798 tweets extracted from Twitter social networking and analysed based on tweets divided into six different segments, i.e., before lockdown, first lockdown, lockdown 2.0, lockdown 3.0, lockdown 4.0 and after lockdown (Unlock 1.0). Empirical results show that ML-based approach is efficient for sentiment analysis (SA) and producing better results, out of 10 ML-based models developed using N-Gram (N = 1,2,3,1-2,1-3) features for SA, linear regression model with term frequency - inverse term frequency (Tf-Idf) and 1-3 Gram features is outperforming with 81.35% of accuracy. Comparative study of the sentiment of the above six periods indicates that negative sentiment of Indians due to COVID-19 is increasing (About 4%) during first lockdown by 4.0% and then decreasing during lockdown 2.0 (34.10%) and 3.0 (34.12%) by 2% and suddenly increased again by 4% (36%) during 4.0 and finally reached to its highest value of 38.57% during unlock 1.0.
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Introduction: The clinical outcomes of COVID-19 infection in children with cancer have been variable worldwide. Therefore, we aimed to collect data from all regions in India through a national collaborative study and identify factors that cause mortality directly related to COVID-19 infection. Method(s): Data was collected prospectively on children across India on cancer therapy and diagnosed with COVID-19 infections from 47 centers from April 2020 to October 2021. Information was recorded on the demographics, the number of children that required intervention, and the outcome of the infection. In addition, we analyzed the impact of the delta variant in 2021. Result(s): A total of 659 children were studied, of whom 64% were male and 36% were female. The data from the eastern region was sparse, and this was a collection bias. COVID-19 infection was predominantly seen in children less than five years. The delta variant had a higher impact in the southern region, and this was statistically significant. Of the 659 children, 30 children died (4.5%), however only 7 of the deaths were directly attributed to COVID-19 infection (1%). Conclusion(s): The study reports the largest nationally representative cohort of children with cancer and COVID-19 to date in India. We identified demographic and clinical factors associated with increased all-cause mortality in patients with cancer. Complete characterization of the cohort has provided further insights into the effects of COVID-19 on cancer outcomes. The low mortality allows us to recommend that specific cancer treatments be continued without delays in therapy.Copyright © 2022
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Background: The Internet of Medical Things (IoMT) is now being connected to medical equipment to make patients more comfortable, offer better and more affordable health care options, and make it easier for people to get good care in the comfort of their own homes. Objective(s): The primary purpose of this study is to highlight the architecture and use of IoMT (Internet of Medical Things) technology in the healthcare system. Method(s): Several sources were used to acquire the material, including review articles published in various journals that had keywords such as, Internet of Medical Things, Wireless Fidelity, Remote Healthcare Monitoring (RHM), Point-of-care testing (POCT), and Sensors. Result(s): IoMT has succeeded in lowering both the cost of digital healthcare systems and the amount of energy they use. Sensors are used to measure a wide range of things, from physiological to emotional responses. They can be used to predict illness before it happens. Conclusion(s): The term "Internet of Medical Things" refers to the broad adoption of healthcare solutions that may be provided in the home. Making such systems intelligent and efficient for timely prediction of important illnesses has the potential to save millions of lives while decreasing the burden on conventional healthcare institutions, such as hospitals. patients and physicians may now access real-time data due to advancements in IoM. Copyright © 2022 Wal et al.
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Background: Covid-19 infection time and again has been causing major morbidities and mortalities. Increased vulnerability of Covid-19 recovered patients was seen towards mucormycosis infection. Mucormycosisis is an aggressive, angioinvasive fungal disease caued by fungi of order Mucorales. This increase in cases may be attributed to a weakened immune system, pre-existing comorbidities such as diabetes, overzealous use of steroids. We conducted a study on 25 cases admitted in mucor ward in a tertiary care setting to highlight this association and focusing on possible causes so that we can be prepared to handle any such catastrophe in future in a better way. Methods and Results: We did a retrospective study on 25 cases admitted in a tertiary care center catering to large population of Covid -19 patients with varying severity.Covid-19 associated mucormycosis(CAM) was found to be more common in males(76%).Diabetes mellitus was the most common underlying condition(72%).68% patients had received steroids and antibiotics, 28% patients had history of receiving Oxygen. In CAM predominant presentation was rhino-orbital mucormycosis. Unilateral orbit involvement was seen in (88%) cases. Conclusion(s): As severe acute respiratory syndrome coronavirus-2 is highly susceptible to mutations and is causingseries of waves, its association with opportunistic fungal infection is a serious concern. Incidences of mucormycosis were increased in Covid-19 patients due to immune modulation and coexistence of immunosuppressive conditions such as diabetes. Concurrent glucocorticoid therapy further heightens the risk. Early diagnosis and prompt intervention can help improve outcome. Copyright © 2023 Ubiquity Press. All rights reserved.
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Background: Covid-19 infection time and again has been causing major morbidities and mortalities. Increased vulnerability of Covid-19 recovered patients was seen towards mucormycosis infection. Mucormycosisis is an aggressive, angioinvasive fungal disease caued by fungi of order Mucorales. This increase in cases may be attributed to a weakened immune system, pre-existing comorbidities such as diabetes, overzealous use of steroids. We conducted a study on 25 cases admitted in mucor ward in a tertiary care setting to highlight this association and focusing on possible causes so that we can be prepared to handle any such catastrophe in future in a better way. Methods and Results: We did a retrospective study on 25 cases admitted in a tertiary care center catering to large population of Covid -19 patients with varying severity.Covid-19 associated mucormycosis(CAM) was found to be more common in males(76%).Diabetes mellitus was the most common underlying condition(72%).68% patients had received steroids and antibiotics, 28% patients had history of receiving Oxygen. In CAM predominant presentation was rhino-orbital mucormycosis. Unilateral orbit involvement was seen in (88%) cases. Conclusion(s): As severe acute respiratory syndrome coronavirus-2 is highly susceptible to mutations and is causingseries of waves, its association with opportunistic fungal infection is a serious concern. Incidences of mucormycosis were increased in Covid-19 patients due to immune modulation and coexistence of immunosuppressive conditions such as diabetes. Concurrent glucocorticoid therapy further heightens the risk. Early diagnosis and prompt intervention can help improve outcome. Copyright © 2023 Ubiquity Press. All rights reserved.
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Krishikosh, a digital repository, is a collection of online resources. It is a large collection of Indian resources in agriculture and allied sectors which is both institutional and discipline wise of Indian National Agricultural Research and Education System (NARES). A large collection of thesis, old and valuable books, institutional publications, technical bulletins, project reports, lectures, preprints, reprints, records, etc. is available in Krishikosh (https://krishikosh.egranth. ac.in/) . The repository has been designed using open source software with efficient Integrated Content Management System (ICMS), configured to meet the user requirements of a reliable digital repository. It is a customized digital repository platform where users can upload and manage their content in compliance with the open access policy of the Indian Council of Agricultural Research. This is a unique platform for sharing the intellectual outputs of the agricultural fraternity hosted by the ICAR-Indian Agricultural Research Institute, (IARI), New Delhi. At present over 2,01,000 items are available on the krishikosh platform which includes students research work (>150,000 theses), old and valuable documents since 1948 in all major subjects of Agricultural and allied disciplines. The Krishikosh analytics shows over 1,87,23,710 hits on the website from 175 countries since 2017. The top ten countries visiting this digital platform were India, United States ofAmerica, Sudan, China, Russia, Ethiopia, Iran, Philippines, Nigeria and Indonesia. Google analytics, during the COVID 19 lockdown period (April-May 2020) indicates a monthly average hit of 6,93,295 indicating higher users on the Krishikosh repository during this time.
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The emergence of nanotechnology paves the way for improving disease therapy strategies. An investigation into the progression of the release of the medication targeting the specified predetermined location is a significant factor to consider. Due to the ability to advance existing products and to develop new products in a variety of applications, the nanotechnology industry is considered an evolving technology. Cyclodextrin-based porous nanoparticles or unique nano-sponges (NSs) which have recently been used in the pharmaceutical, biomedical, and cosmetic industries are the main elements of this growth. This superior technology can circumvent the defects of current techniques by its ability to attack and visualize tumour sites. A biodegradable and biocompatible feature along with a built-in high surface area resulting in enormous amounts of drug loading and biomimetic design, and the ability to control nanoparticles size are just a handful of good attractive attributes that find this technique as an overwhelming advantage in the field of nanomedicine. This review article is organized such that we first explored the unique features of these nanosponges and the diverse methods for synthesizing, followed by the drug loading and release principle and application based on drug delivery, targeting, boosting solubility of BCS Class II and IV drugs, others in biomedicine and more. Finally, the recent progress on the use of biomimetic nanosponge as a pandemic tool due to the SARS-CoV-2 virus briefly comes into line. Copyright © RJPT All right reserved.
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Academic library websites are considered an integral tool for disseminating libraries' information, resources, and services. It also encourages users to interact and use library resources and services remotely. The spread of COVID-19 and the nationwide lockdown shifted the education system to an online mode of teaching and learning. The present study aims to analyse the usability criteria of the Central Universities' library websites, the availability of various facilities & services provided during the pandemic, to know the mode of information dissemination during the pandemic, andthe preventive measures undertaken by the Central University library websites to combat the Corona Virus.The study reveals that Aligarh Muslim University and the Central University of Orissa have adopted all possible means and modes to provide information to its users to combat the struggles during the pandemic through their library websites. However, certain Central University websites like the Central University of South Bihar have provided the least services for their users during the pandemic. The study also highlighted the essential steps initiated by the selected libraries to fulfill the information needs of their users, and those services may be opted by others to meet the post-lockdown needs.
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Background: Hepatic encephalopathy (HE) in acute-on- chronic liver failure (ACLF) is associated with significant morbidity and mortality. There is paucity of data regarding HE management in patients with ACLF and most of the evidence is extrapolated from patients with cirrhosis. We conducted a prospective, randomized controlled clinical trial to study the efficacy of intravenous branched chain amino acids (IV-BCAA) with lactulose versus lactulose alone for improvement in HE scores at 24h, day 3 & day 7. Duration of ICU stay and survival at days 7 and 28 was compared. Method(s): CANONIC ACLF patients with HE grades >= 2 were assessed for eligibility and randomized into two groups -experimental arm (IV-BCAA -500mL/ day for 3 days + Lactulose;n=39) and comparator arm (Lactulose alone;n=37). Six patients developed COVID-19 after randomization & were excluded (4-experimental arm & 2-comparator arm). Grade of HE was assessed by West Haven Classification and Hepatic Encephalopathy Scoring Algorithm (HESA). ACLF severity was determined by CLIF-C ACLF and MELD scores. All patients received standard of care for HE and ACLF management. Result(s): Both groups were similar in baseline characteristics including grade of HE (2.85 +/- 0.75 vs 2.82 +/- 0.66;P = 0.864) and CLIF-C ACLF score (54.19 +/- 5.55 vs 54.79 +/- 5.74;P = 0.655). Overall survival was 40% at 28 days (48.5% vs 31.4%;P=0.143). Significant improvement in HESA score by >=1 grade at 24h was seen in 14 patients (40%) in BCAA arm and 6 patients (17.14%) in control group (P=0.034) which translated to a shorter ICU stay in the BCAA arm (Table 1). Median change in HESA score at 24h was significantly more in BCAA arm than control arm (P=0.006), however, this was not sustained at day 3 or 7. Ammonia levels did not correlate with the grade of HE (Spearman's correlation coefficient(rho) = -0.0843;P=0.295). Conclusion(s): Intravenous BCAA leads to early but ill-sustained improvement in grade of HE and reduced ICU stay in ACLF.
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The novel coronavirus disease 2019 is highly contagious disorder cause severe illness in form of fever, myalgia, fatigue, altered smell and taste sensation. The oral cavity manifestations has been discovered in Covid 19 patients. Studies shows that SARS-COV -2 affect respiratory track along with other organs those who have Angiotensin coverting enzyme 2 (ACE 2) receptors. ACE 2 Receptors are found in numerous amount in the oral cavity tissue which are more prone for SARS-COV-2 infections. There are various types of oral lesion associated with covid -19 patients such as ulcers in oral cavity, candidiasis, recurrent herpes simplex, geographical tongue, mucositis and petechiae. It affects oral cavity as well as salivary glands. This review article discusses the major neglected clinical entity such as oral cavity lesion in Covid -19 patients. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
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Because of the present pandemic researchers are seeking for phytocandidates that can inhibit or stop SARS-CoV-2. The main protease (Mpro) of SARS-CoV-2 and spike glycoprotein (S) are both suppressed by bioactive compounds found in plants that work by docking them together. The Mpro proteins 6LU7 (complex with an inhibitor N3) and 5C3N (space group C2221) were employed in docking research. PyRx and AutoDock Vina software were used as docking engine. 22 identified phytoconstituents were selected from IMPPAT, a manually curated database, on the basis of their antiviral effects. Docking studies showed that phytoconstituents β-amyrin (-8.4 kcal/mol), withaferin A (-8.3 kcal/mol), oleanolic acid (-7.8 kcal/mol), and patentiflorin A (-8.1 kcal/mol) had the best results against 5C3N Mpro protein whereas kuwanon L (-7.1 kcal/mol), β-amyrin (-6.9 kcal/mol), oleanolic acid (-6.8 kcal/mol), cucurbitacin D (-6.5 kcal/mol), and quercetin (-6.5 kcal/mol) against 6LU7 Mpro protein. All the compounds were examined for their ADMET characteristics using SwissDock. Present research reports that the phytoconstituents along with docking score will be helpful for future drug development against Covid-19. © 2022 Industrial Chemistry Research Institute. All rights reserved.
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Background and Aim: Hepatic encephalopathy (HE) in acute-on-chronic liver failure (ACLF) is associated with significant morbidity and mortality. There is limited evidence regarding HE management in patients with ACLF. We conducted a prospective, randomized controlled clinical trial to study the efficacy of intravenous branched chain amino acids (IV-BCAA) with lactulose versus lactulose alone for improvement in HE at 24h, day 3 & day 7. Duration of ICU stay and survival at days 7 and 28 was compared. Methods: CANONIC ACLF patients with HE grades>=2 were randomized into two groups - experimental arm (IV-BCAA - 500mL/day for 3 days + Lactulose;n=39) and comparator arm (Lactulose alone;n=37). Six patients developed COVID-19 after randomization & were excluded (4-experimental arm & 2-comparator arm). HE Grade was assessed by West Haven Classification and Hepatic Encephalopathy Scoring Algorithm (HESA). ACLF severity was determined by CLIF-C ACLF and MELD scores. All patients received standard of care. Results: Both groups were similar in baseline characteristics including grade of HE (2.85 ± 0.75 vs 2.82 ± 0.66;P = 0.864) and CLIF-C ACLF score (54.19 ± 5.55 vs 54.79 ± 5.74;P = 0.655). Overall survival was 40% at 28 days (48.5% vs 31.4%;P=0.143). Significant improvement in HESA score by 1 grade at 24h was seen in 14 patients (40%) in BCAA arm and 6 patients (17.14%) in control group (P=0.034) which translated to shorter ICU stay in the BCAA arm. Median change in HESA score at 24h was significantly more in BCAA arm than control arm (P=0.006), however, this was not sustained at day 3 or 7. Ammonia levels did not correlate with HE grade (Spearman correlation coefficient (-0.0843;P=0.295). Conclusion: Intravenous BCAA leads to early but ill-sustained improvement in grade of HE and reduced ICU stay in ACLF.
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Background and Aim: We aimed to study the healthcare disparity among elderly patients with cirrhosis and its impact on composite outcomes during the COVID pandemic. Methods: We conducted a prospective observational study between July 21- May 2022 via telephonic interview or physical consultations at 2 large tertiary care centers in India. The data was captured using pre-validated questionnaires to assess healthcare disparity amongst elderly patients with cirrhosis. Results: Of 475 elderly (≥65years) patients with cirrhosis (based on imaging) were included with mean age of 72.1years, male:female(3.8:1) with aetiology of cirrhosis being NAFL/NASH (58%), alcohol(32%) in majority. 323 (69%) had access to internet, however amongst them only 247 (52%) were conversant with use of WhatsApp, the preferred platform for tele-consultations in most hospitals in India. 147(31%) had walkability and accessibility to hospitals and 223(47%) had access to a family physician or community nurse, 271 (67%) had laboratory access. 295(62%) had taken both Covid vaccines, 349(74%) had first dose alone and only 38(8%) had booster dose. 213 (45%) felt that they needed admission/ expert opinion at least once during the period with 137 (29%) needed inpatient treatment. 266 (56%) missed at least 15 days doses of drugs with 85(32%) citing unavailability and 48(18%) unaffordability. Cancellation/rescheduling of medical services was widely prevalent with 74(15.5%) needing to reschedule endoscopy, 132 (28%) had cancellation of imaging of any form at least once, loco-regional therapy was rescheduled in 14(18%) patients of HCC. Advanced age, presence of >1 co-morbidity, tense ascites, hepatic encephalopathy, lack of caregivers were signi cantly associated with poor quality of life, restricted access and utilization of healthcare Conclusions: Elderly patients with cirrhosis had significant barriers in seeking healthcare during Covid19 pandemic highlighting the disparity and need for concerted e orts to improve their access to care.
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Background: - COVID-19 is the most important public health problem of recent time. Many people require hospitalization after infection. COVID vaccination is the most effective way to prevent the disease. Due to extensive negative publicity through social media channels/platforms,significant number of individuals are not coming forward for vaccination. Therefore, study is needed to evaluate adverse effects associated with different vaccines available in India. Objectives: - To assess the adverse effects associated with COVID-19 vaccination and compare the side effect of two most commonly used COVID vaccines in India. Methods:- In the current report, a cross sectional study was conducted among beneficiaries of COVID-19 vaccines at the vaccination center of the LLRM Medical college, India. After institutional ethical clearance and informed consent, patients were asked about the symptoms they experienced after vaccination. A very simple random sampling approach was used to select beneficiaries. Information was collected on predesigned Google form and total 391 patients submitted the responses. Results:- Out of total respondents 77 % individuals reported one or more symptoms. Fever was reported to be most common problem (59.3%) followed by body ache (57.5%). Out of total beneficiaries, 68.3% experienced mild symptoms while 23% remain asymptomatic. Only few subjects reported moderate adverse effects (8.7%). None of the respondent reported severe and serious adverse effect. Conclusions:- Vaccine associated adverse effects were found less than 3 days and of mild variety in most of the beneficiaries. There was no difference in adverse effect profile of two commonly used vaccines in India. People must come forward for vaccination in mass without fearing of adverse effects of vaccines.
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Introduction Vaccines have emerged as our primary line of defence against the scourge of COVID-19. Patients with cirrhosis have a higher risk of severe COVID-19 and mortality and are thus high priority patients for vaccination. However, cirrhotics were excluded from the phase 2 and 3 trials of COVID-19 vaccines. Hence, we aimed to assess the seroconversion rate and safety of currently available COVID-19 vaccines in India, namely COVISHIELD (ChAdOx1 nCoV-19) and COVAXIN (BBV 152), in patients with cirrhosis. Methods All patients who had attended tele-hepatology services at our institute from March 2020 to June 2021 and diagnosed with cirrhosis as per their medical records were telephonically interviewed in July 2021 using a pre-specified questionnaire. Patients who had completed full course of vaccine (with the 2nd dose being administered at least 2 weeks back) and without history of documented COVID-19 infection (pre or post vaccination) were tested for SARS-CoV-2 IgG antibodies using an automated chemiluminescent assay (Orthoclinical Diagnostics). Our primary outcome was seroconversion in patients with cirrhosis who had received complete COVID-19 vaccination. Secondary outcomes included vaccine acceptance, documented COVID-19 infection post-vaccination and adverse effects of COVID-19 vaccines in cirrhosis. Results We identified and interviewed 784 patients with cirrhosis [compensated: 213 (27.2%), decompensated 561 (72.8%)] with a mean age of 51.07 ± 8.53 years. Two eighty-three (36.1%) patients had received at least 1 dose of COVID-19 vaccine [COVISHIELD: 231 (29.5%), COVAXIN: 52 (6.6%)] and 159 (20.3%) patients had completed full course of vaccination with 2 doses [COVISHIELD: 134 (17.1%), COVAXIN: 25 (3.2%)]. Documented COVID-19 (on RT-PCR) was reported in 3.2% (9/283) patients who had received at least one dose of COVID-19 vaccine while breakthrough COVID-19 (at-least 2 weeks after administration of 2nd dose) was reported in 3.1% (5/159). Adverse events were reported by 19.8% (56/283) patients with the most common being fever (13.1%), myalgia (5.6%) and sore throat (1.1%). No grade III/IV adverse events were reported. So far, 100 fully vaccinated patients (COVISHIELD: 88, COVAXIN: 12) have been tested for seroconversion. Seroconversion rate with COVISHIELD and COVAXIN were 92% (81/88) and 91.7% (11/ 12), respectively. Seropositive patients were divided into high, moderate, and low antibody responses based on the observed signal/cut-off response and no differences were observed between patients with compensated and decompensated cirrhosis (Table 1). There was no correlation between antibody signal/cut-off ratios and CTP (tau: 0.07, p=0.32) or MELD (tau: 0.08, p=0.29) scores. Conclusion Our preliminary data suggests that currently available COVID-19 vaccines in India are safe with high seroconversion rates in patients with cirrhosis. (Table Presented)
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We have investigated the time series of constituents of the Dow Jones Industrial Average (DJIA) for a period of 18 years (2000-2018). DJIA is a dominant stock market index comprising of thirty US based companies. We have applied the Random Matrix Theory (RMT), complex network analysis and hierarchical clustering techniques to extract out the information from the time series of DJIA stocks. The impact of sub-prime crisis of 2008(FC08) on structure and dynamics of network of DJIA stocks is studied by diving the periods under consideration into three distinct periods;pre crisis (PRC), during crisis (DUC) and post crisis (POC) on the basis of volatility. The RMT analysis shows that data analyzed contain important information. Network analysis reveals high correlation among the stocks in the DUC period. The MST and hierarchical clustering techniques support the results of RMT analysis. Degree centralities, closeness centralities and clustering coefficients of DJIA networks increases in DUC period. High correlation and closeness among stocks in DUC period is depicted in various analyses. The dynamic analysis is also carried out which detect various extreme events such as Covid-19. In conclusion, investigation shows that during the period of crisis, there are significant changes in the structure and dynamics of DJIA network. The findings of investigation can be utilized as risk indicator and detection of such crises in future. © 2022. School of Science, IHU. All rights reserved.
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The immune system is comprised of lymph glands, lymph nodes, thymus gland, spleen, bone marrow, lymphocytes, and molecules such as antibodies and cytokines. It has a vast array of functionally different cells such as T and B lymphocytes, macrophages, neutrophils and mast cells. The ontogenesis of the immune system is comprised of the innate immune cells and the adaptive immune cells, where innate immune cells are the first defense mechanisms to respond to pathogenic environmental factors. There are multiple components of the adaptive immune cells, including immunoglobulins (Igs), T-cell receptors (TCR), and major histocompatibility complex (MHC) responsible for adaptive immunity. However, many elements of both the innate and adaptive immune systems are conserved in our bodies. The adaptive immunity is a type of immunity that develops when a person’s immune cells respond to a pathogen such as microorganism or vaccination. Environmental factors such as pathogenic bacteria or viruses, solar exposure, age, exercise, stress, diet, sleep quality and air pollutants can influence the immune system. There may be marked decline in the immune function due to attack of COVID-19. Most patients with mild COVID-19 develop an appropriate immune response that culminates with viral clearance. However, severe disease manifestations have been linked to lymphopenia and immune hyper-responsiveness leading to cytokine storm. It has been observed that in COVID-19, alveolar macrophages are epigenetically altered after inflammation, leading to long-term lung immune-paralysis. Western diets are known to have adverse effects on the immune function. However, Mediterranean-type diets rich in short-and long-chain polyunsaturated fatty acids (PUFA), vegetables, nuts and fruits, dairy products and fish and red wine, due to high content of vitamins, minerals and flavonoids may be useful in boosting immunity. Moderate physical activity may also cause an extensive increase in numerous and varied lipid super-pathway metabolites, including oxidized derivatives called oxylipins. Emerging evidence suggests that dietary supplements containing flavonoids, carotenoids, coenzyme Q10 (CoQ10), vitamins, minerals and antioxidants modulate gene and protein expression and thereby modify endogenous metabolic pathways, and consequently enhance the immunity. Mediterranean-type diet and multiple bioactive nutrients, fatty acids, amino acids, vitamins and minerals as well as moderate physical activity may be crucial for enhancing immunomodulation.
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In the current scenario, almost all the countries face one of the biggest disasters in COVID-19. This paper has to analyze the tweets related to COVID 19 and discuss the various machine learning algorithms and their performance analysis on the tweets associated with COVID-19. The implemented classification algorithms are applied to classify the sentiments to predict whether they relate to COVID-19 or non-COVID-19. Ten most popular classification algorithms implemented. The Linear Support Vector Machine (LSVM) achieved the highest test accuracy in these algorithms with 90.3%. Logistic regression has performed better in recall with 96.06%, F1 score of 90.46%, ROC_AUC with 90.48%. Random forest classifier has achieved the better specificity and precision of 99.16% and 96.3%, respectively. Out of all, stochastic gradient descent (SGD) has attained better results in all the computational parameters. © 2021 IEEE.