Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 29
Filter
1.
Chest ; 162(4):A384, 2022.
Article in English | EMBASE | ID: covidwho-2060578

ABSTRACT

SESSION TITLE: Global Pulmonary Cases SESSION TYPE: Global Case Reports PRESENTED ON: 10/19/2022 12:45 pm - 01:45 pm INTRODUCTION: COVID 19 is associated with hyper- inflammation with levels of IL 6 correlating with the severity of COVID 19. IL6 causes increased vascular permeability and endothelial dysfunction and plays a major role in the development of ARDS.[1] Tocilizumab is a monoclonal antibody against the IL6 receptor which is being used for COVID pneumonia. Large randomized controlled trials including REMAP-CAP and RECOVERY reported a mortality benefit of tocilizumab in certain patients [3]. Aspergillus is a mold that causes variety of pulmonary infections depending on host's immune status. In immunocompromised hosts, it causes invasive pulmonary aspergillosis [2]. Symptoms initially are similar to bronchopneumonia: cough with sputum, dyspnea, fever not responsive to antibiotics. With disease progression, patients experience pleuritic chest pain and hemoptysis. CASE PRESENTATION: 69 y/o female came to ER with complaint of dyspnea and cough. PMH significant for Diabetes. She had a recent admission for COVID 3 weeks ago during which she received tocilizumab. This time, her vitals were HR- 96 RR- 24 Temp- 99.6 BP- 124/72, Sat- 88% on 2L NC. Labs WBC 31.1 D dimer- 2.17 ABG PO2- 61. CT pulmonary angiogram was consistent with left mid lung zone cavitary mass with an air-fluid level measuring 5 x 8 cm in transverse and AP dimension. Patient was started on broad-spectrum antibiotics (vancomycin, cefepime, metronidazole). Sputum cultures, Beta glucan assay, AFB and fungal immunodiffusion panel was ordered. Beta D Glucan assay came positive. Fungal immunodiffusion panel was negative. Bronchoscopy was done and AFB, aspergillus antigen and cultures were collected. BAL aspergillus antigen came positive and KOH fungal culture grew Aspergillus Fumigatus. Voriconazole was started. She was discharged on voriconazole for 12 weeks, ceftriaxone and clindamycin for 6 weeks for antibacterial coverage with plan to repeat CT chest in 3 weeks. DISCUSSION: We use tocilizumab for COVID 19 patients requiring invasive or non invasive mechanical ventilation and CRP ≥7.5 and exclude patients with ANC <2000, platelet <50,000 and history of serious bacterial, fungal or viral infection. This patient did not have any exclusion criteria but developed invasive fungal infection 3-4 weeks later. Due to worsening hypoxia and high D dimer, initial consideration was pulmonary embolism for which CT angiogram was done and a cavitary lesion was found. Differentials were bacterial abscess, tuberculosis or fungal infection. BAL played a crucial role in diagnosing aspergillosis. CONCLUSIONS: In patients presenting with worsening respiratory symptoms post tocilizumab administration we must keep a low index of suspicion for superimposed opportunistic infections including aspergillosis. Appropriate workup including CT chest, sputum or bronchoalveolar lavage for cultures (bacterial, fungal), Beta D Glucan and fungal panel is essential for diagnosis. Reference #1: Tocilizumab in Hospitalized Patients with Severe Covid-19 Pneumonia Ivan O Rosas;Norbert Bräu;Michael Waters;et al. New England Journal of Medicine, v384 n16 (20210422): 1503-1516 Reference #2: Pulmonary aspergillosis: a clinical review M. Kousha, R. Tadi, A.O. Soubani European Respiratory Review 2011 20: 156-174;DOI: 10.1183/09059180.00001011 Reference #3: Interleukin-6 Inhibitors. Available at: https://www.covid19treatmentguidelines.nih.gov. DISCLOSURES: No relevant relationships by Shaylika Chauhan No relevant relationships by Vipul Gidwani

2.
Frontline Workers and Women as Warriors in the Covid-19 Pandemic ; : 212-220, 2022.
Article in English | Scopus | ID: covidwho-2055944
3.
Future Drug Discovery ; 4(1), 2022.
Article in English | EMBASE | ID: covidwho-2033335
4.
Letters in Drug Design and Discovery ; 19(11):1022-1038, 2022.
Article in English | EMBASE | ID: covidwho-1968945

ABSTRACT

Background: The emergence of COVID-19 as a fatal viral disease encourages researchers to develop effective and efficient therapeutic agents. The intervention of in silico studies has led to revolu-tionary changes in the conventional method of testing the bioactivity of plant constituents. Objective: The current study deals with the investigation of some traditional immunomodulators of plant origin to combat this ailment. Materials and Methods: A total of 151 phytomolecules of 12 immunomodulatory plants were evaluated for their inhibitory action against the main protease (PDB ID: 7D1M) and NSP15 endoribonuclease (PDB ID: 6WLC) by structure-based virtual screening. In addition, the promising molecules with ligand effi-ciency of more than-0.3(kcal/mol)/heavy atoms were further predicted for pharmacokinetic properties and druggability using the SwissADME web server, and their toxicity was also evaluated using Protox-II. Results: Myricetin-3-O-arabinofuranoside of cranberry plant was found to be the most potential candidate against both enzymes: main protease (–14.2 kcal/mol) and NSP15 endoribonuclease (–12.2 kcal/mol). Conclusion: The promising outcomes of the current study may be implemented in future drug development against coronavirus. The findings also help in the development of lead candidates of plant origin with a better ADMET profile in the future.

5.
Enabling Healthcare 4.0 for Pandemics: A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies ; : 59-73, 2021.
Article in English | Scopus | ID: covidwho-1919208

ABSTRACT

Humans have faced a number of pandemics since the dawn of civilization, but today what we are facing is an invisible enemy novel COVID-19, causing the pandemic globally at an alarming rate, bringing a devastating effect on our lives and impacting our economy drastically. The infection in humans by COVID-19 was thought to be originally from bats perhaps as zoonotic agent (from animal to human) but the rapid increase in the figure of cases in Wuhan city and globally even after shutting the market off and quarantine whole city, indicated an alternative mode of transmission from human-to-human which is rarely observed in nature. The main objective of this chapter is to predict a rapid forecasting of pandemic outbreak using machine learning approaches. The chapter is based on a preliminary estimation about the disease, spread of disease across the globe, the possible ways of treatment, and prevention in its outbreak which makes use of technologies like machine learning which may prove beneficial to save the human race from pandemics like COVID19 in the future. © 2021 Scrivener Publishing LLC.

6.
6th International Conference on Trends in Electronics and Informatics, ICOEI 2022 ; : 93-98, 2022.
Article in English | Scopus | ID: covidwho-1901460

ABSTRACT

During this pandemic time while finding the (SARS-CoV-2) infected person many of the applications got active where various nations participated actively. The main device involved in the whole process is Smartphone. The existing applications are focusing on the use of Bluetooth technology. Bluetooth is limited with the area it can cover and noise it produces to broadcast the messages to the neighbors. Also, while searching the position of the infected person one concern could be that is Position of the smartphone accurate? or for how long the tracing will happen? While tracing the position of the person whether infected or not infected, the compromise cannot be done. At the pandemic situation, the little mistake of the position will cost the life of a person and the growing number of infected persons will yield to an exponential cost. Also, the life of the smartphone to keep working needs energy through battery. Continuous localization will need continuous flow of the energy for that device. Thus, the smartphone needs to be charged after a period of time. So, when a person is in a public place, he will need his smartphone to be active. Our main concern with the whole paper is to find the solution through the simulation for the position accuracy of the smartphone as well as to manage the energy consumption. © 2022 IEEE.

7.
Indian Journal of Transplantation ; 16(1):17-25, 2022.
Article in English | EMBASE | ID: covidwho-1798830

ABSTRACT

Coronavirus disease 2019 (COVID-19) vaccine efficacy, especially against severe disease is known to wane over time. We examined current knowledge of COVID-19 vaccine booster dose in solid organ transplant recipients (SOTR). We have systematically searched PubMed, EMBASE, MEDLINE, Scopus and Google Scholar with the following MeSH terms: 'SARS-CoV-2 vaccine,' or 'COVID-19 vaccine,' and 'organ transplantation' and 'booster' or 'third dose.' This review article examines a number of studies including guidelines from professional societies examining the safety as well as increased immunogenicity of a booster dose among SOTR. Equitable distribution of vaccines across the globe is the need of the hour. While some countries are well into the booster dose phase, the lower-income countries are languishing behind with primary doses for their health workers. Available reports suggest less efficacy of COVID-19 vaccine in SOTR suggesting booster dose for them. Several studies highlighted the safety and efficacy of COVID-19 vaccines booster dose among SOTR. SOTR should also continue to adhere to all safety and COVID-19 appropriate behaviors. There is a growing need for alternative strategies to improve protection. As Omicron cases rise around the world, India announced that COVID-19 vaccination for children aged 15-18 years and 'precautionary (booster) doses' would be administered to healthcare and frontline workers and people above 60 years of age with comorbidities from January 2022. In near future, with increased availability of vaccinations, all SOTR will have access to booster dose in a phased manner.

8.
Studies in Computational Intelligence ; 1007:269-280, 2022.
Article in English | Scopus | ID: covidwho-1767462

ABSTRACT

A pandemic like COVID-19 has conveyed the necessity of maintaining social distancing between two or more human beings. However, it is not possible for police or government officials to be omnipresent and regulate gatherings all around. This paper presents a model for maintaining social distancing norms using Unmanned Aerial Vehicles (UAV) which helps in aerial surveillance and detecting humans using Hierarchical Extreme Learning Machine(HELM), estimating their geolocations, and calculating the distance between two immediate beings and alerting them in case they are in close proximity with another body using on-board systems and algorithms. The human being is alerted through a prerecorded audio clip played through a speaker present on the UAV to maintain necessary distance. Furthermore, the use-case is expanded for surveillance and crowd control measures by alerting the local authorities in case of a mass gathering in a region. This approach minimizes the deployment of personnel for ensuring and monitoring social distancing and helps regulate crowd gatherings using cyber-physical systems. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

9.
Indian Journal of Forensic Medicine and Pathology ; 14(Special Issue 2):181-187, 2021.
Article in English | Scopus | ID: covidwho-1727127

ABSTRACT

The outset of the year 2020 witnessed the outbreak of an epidemic known as CoVid-19 or novel coronavirus pandemic. Since then, the number of confirmed cases of this infection had increased rapidly all over the world. Autopsy provides relevant knowledge about the identification and determination of the cause of death in forensic medicine. Different non-invasive and minimally invasive approaches over the traditional autopsy are introduced into forensic science to deal with challenges presented by COVID-19 pandemic where performing invasive autopsy is not feasible. Virtopsy is a multi-disciplinary science. 'Virtopsy' or Virtual Autopsy aims at new imaging techniques in forensic pathology to facilitate the present postmortem examination. It offers advantages over invasive 'body opening' autopsy. Virtopsy consists of body volume documentation, optical scanning with imaging techniques such as Magnetic resonance imaging (MRI), computed tomography (CT) scan coupled with minimally invasive approaches such as postmortem biopsies. The importance of Virtopsy is noteworthy in post mortem examination of COVID-19 patients. Virtopsy has a broad spectrum of uses in forensic medicine, forensic odontology, firearm injury and road traffic injury etc. Hence, it can be used either independently or as an alternative to conventional autopsy. The present study highlights the importance of Virtopsy in postmortem examination and its contribution in forensic science. It also provides scope for future research in the subdisciplines of forensic science. © 2021, Indian Journal of Forensic Medicine and Pathology. All rights reserved.

10.
Australasian Journal of Information Systems ; 25, 2021.
Article in English | Scopus | ID: covidwho-1686404

ABSTRACT

Healthcare initiatives backed by electronic-governance (e-governance) principles have contributed well to the extant literature and practice. Governments and healthcare systems across the world were taken aback by the swamping impact of the COVID-19 pandemic. However, they reacted quickly by developing contact-tracing mobile applications (apps) for creating awareness, providing information about various healthcare initiatives, and helping citizens to use the required information in case of emergency. The major challenge was to develop such e-governance interventions in a short time and ensure their quick adoption among the masses. Hence, it is worthwhile to investigate the factors leading to the adoption of such e-governance initiatives, especially in the context of a widespread pandemic situation. The present study is an attempt to analyze the factors driving the intention to use contact tracing mobile apps launched by governments globally during the COVID-19 pandemic. We have conducted the study in the context of India, where the government launched a community-driven contact tracing mobile app for its citizens during the COVID-19 pandemic in April 2020. The study adopted an empirical approach to test how epistemic value, convenience value, conditional value, functional value, and privacy concerns influenced the intention to use this approach. The study found that intention to use such an app was positively influenced by functional value, which in turn was positively influenced by convenience and conditional values. It suggests that the convenience of using the app, perceived seriousness of the pandemic (i.e., conditional value), and utilitarian benefits (i.e., functional value) of the contact-tracing mobile app enhanced its acceptance. However, its novelty (i.e., epistemic value) and privacy concerns are not significant predictors of intention to use. The study recommends that the government should place more emphasis on improving the functional value which is driven by convenience and context-specific features to push the use of an e-governance initiative during the crisis © 2021 authors. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 Australia License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and AJIS are credited

11.
9th International Conference on Recent Trends in Computing, ICRTC 2021 ; 341:381-389, 2022.
Article in English | Scopus | ID: covidwho-1680658

ABSTRACT

The goal of this studies is to help minimize COVID-19 cases. Social distancing practices are considered to forestall unwellness transmission by reducing the contact rate of infected and uninfected people. One of the easiest ways for people to lower their risk of infection during an epidemic is for them to reduce their rate of contact with infectious individuals (Timothy in, PLoS Comput Biol 6(5):e1000793, (2010) [1]). As the pandemic situation increases day by day, so there is a need to understand the situation and take possible actions against them. Social distancing comes under the major precaution against pandemic. Apart from these, there is a need to monitor people whether they take the situation seriously about social distancing or not. So, the main objective of this research is to provide a possible solution of how to monitor people using CCTV/drone. This research provides an idea about an application that can be used to monitor people for prevention against social distancing. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

12.
Indian Journal of Transplantation ; 15(4):364-367, 2021.
Article in English | Scopus | ID: covidwho-1635424

ABSTRACT

Transplant in COVID era is a challenging task given a paucity of data and limited experience worldwide. A 35-year-old male patient with chronic kidney disease on dialysis for the past 9 months underwent successful living-related donor transplant with his father (aged 64 years) as donor at our center. In this case, donor was diagnosed with reverse-transcription polymerase chain reaction (RT-PCR)-confirmed COVID-19 during evaluation, and he was managed with supportive care and comprehensive social distancing at home. Donor was asymptomatic throughout this period. Interval from positive to negative RT-PCR for nasopharyngeal swab test was 37 days. Interval from negative RT-PCR to kidney transplant was 33 days. Later, recipient and donor were discharged with negative RT-PCR posttransplant. At 71 days of follow-up, both recipient and donor have stable kidney function with normal urinalysis. Hence, prospective donor with a history of COVID-19 infection can be taken for transplant after thorough pretransplant evaluation and having two negative RT-PCR reports after infection, normal imaging, and additional preprocedural negative RT-PCR testing. © 2021 Wolters Kluwer Medknow Publications. All rights reserved.

13.
Indian Journal of Transplantation ; 15(4):374-377, 2021.
Article in English | Scopus | ID: covidwho-1631022

ABSTRACT

Coronavirus disease (COVID-19) caused by novel coronavirus (SARS-CoV-2) infection is still incompletely understood in transplantation, and there have been a few reports of multisystem inflammatory syndrome in adults (MIS-A) like illness in transplant patients. Herein, we report a case of MIS-A in a renal transplant that ultimately was successfully managed. The case was a 32-year-old man, transplanted 3 years ago, with chronic graft dysfunction and no other comorbidities. He presented with a 3-day history of fever and abdominal pain with no respiratory complaints. The patient had multi-organ involvement in the form of acute pancreatitis, severe diarrhea, acute kidney injury, and shock. Inflammatory markers including D-dimer and C-reactive protein were elevated. Chest radiology showed bilateral haziness on admission. The patient had two consecutive SARS CoV 2 reverse transcription-polymerase chain reaction (RT PCR) tests negative initially but eventually SARS CoV 2 antibody test came positive. The patient was managed initially with broad-spectrum antibiotics, and after confirmation of MIS-A, steroids, intravenous immunoglobulin, and anticoagulation were administered. The patient survived and was discharged on the 29 th day of admission. Our reports highlight that MIS-A should be suspected in atypical cases irrespective of COVID-19 tests and should be confirmed with repeated RT-PCR and SARS-CoV-2 antibody tests. © 2021 Wolters Kluwer Medknow Publications. All rights reserved.

14.
Communications in Mathematical Biology and Neuroscience ; 2021, 2021.
Article in English | Scopus | ID: covidwho-1607389

ABSTRACT

There has been an unprecedented global public health and economic crisis due to the coronavirus disease 2019 (COVID-19). For containing the infection and returning to normal routines, vaccination is an important foreseeable mean. But there are many people who do not have exposure to information about vaccinations or are either misinformed and this may take the form of vaccine hesitancy. Thus, positive vaccination awareness to even the most vulnerable section of society or remote areas of the country may be the need of the hour for full population inoculation. The role of awareness programs by government as a control to increase vaccination and control the infection is discussed in this paper. Thus we formulate a model consisting of unaware and aware population amid vaccination campaigns/awareness. The existence, local stability and global stability(through graph theoretic approach) of the equilibria are analyzed. Following our model we extend it to an optimal problem with the objective to maximise vaccination and minimise promotional costs in our system. With the help of Pontryagin’s Maximum Principle, we then obtain the optimal awareness intensity as part of intervention for vaccination for our optimal control problem. Through numerical simulations, the paper shows that awareness among general public increases the number of vaccinated individuals. Sensitivity analysis is performed for the optimal control calculated using latin hypercube sampling method. Thus, the paper highlights the necessary and crucial role of vaccine awareness programs to fight a disease in epidemic dynamics. © 2021 the author(s).

15.
International Journal of Gynecological Cancer ; 31(SUPPL 1):A176, 2021.
Article in English | EMBASE | ID: covidwho-1583060

ABSTRACT

Introduction/Background India experienced a deadly second wave of COVID-19 pandemic starting mid-February 2021 with test positivity rate of 25-45 % suggesting high community transmission. Indian COVID-19 vaccination program for 60 years + and above 45 years with co-morbidities began on 1st March 2021. As per COVIDsurg collaborative data, between 0.6% and 1.6% of patients develop COVID-19 infection after elective surgery. Even after use of mitigation measures like pre-surgery RT/PCR and COVID free surgical pathways, COVID-19 is a significant nosocomial infection with 4- and 8-fold increased risk of death in the 30 days following surgery. Our aim was to study vaccine compliance in patients counselled to be vaccinated before surgery, pre-surgery RT/PCR positivity rate, 30-day post-operative SARS Cov-2 rate and peri-operative outcomes. Methodology In this prospective observational study, patients waitlisted for major gynaecological cancer surgeries who were also eligible for COVID-19 vaccination were enrolled. Patients were counselled to get atleast one dose vaccinated 2 weeks before elective surgery. In cases of neo-adjuvant chemotherapy, vaccination was advised atleast 2 weeks after the last dose of chemotherapy. Patients vaccinated with atleast 1 dose - 2 weeks prior to surgery or those with both doses vaccinated atleast a week prior to surgery were eligible for study. Mitigation measures of negative pre-surgery RT/PCR (within 24 hours prior to surgery) and COVID free surgical pathway were used. Result(s) In the overall cohort of 53 patients, 34 got vaccinated suggesting compliance of 64%. In the unvaccinated cohort, 52.6% were pře-surgery RT/PCR +ve against 5.8% vaccinated patients (p = 0.0001). Thirty- day post-operative SARS Cov-2 rate was 44.4% and 0% in the unvaccinated and vaccinated cohort respectively (p = 0.0001). No cases of severe COVID-19 requiring hospitalisation were seen in the vaccinated cohort. There was no 30-day post-operative mortality in either cohorts. Conclusion Counselling regarding COVID-19 vaccination prior to surgery should be an essential part of pre-operative work up. COVID-19 vaccination prior to surgery has two-fold advantage. It prevents the postponement of elective cancer surgeries which are time bound. There is a significant decreased risk of severe COVID-19 infection and related morbidity post-operatively in the vaccinated population. (Figure Presented).

16.
2nd Global Conference for Advancement in Technology, GCAT 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1537698

ABSTRACT

The recent outbreak of the SARS-CoV-2 pandemic has disrupted healthcare systems all over the world. With the spread of multiple variants, the progress of the pandemic is unpredictable. In critical cases, viral respiratory illness causes fluid build-up in the lungs, requiring the patient to be on ventilation to have sufficient oxygen. With an enormous shortage of ventilators worldwide, the creation of an emergency ventilator has become a compelling international engineering challenge. This paper demonstrates a distinct proof-of-concept design and working of NeT-Vent: a low cost, rapidly scalable, easy to manufacture and IoT-enabled smart invasive mechanical ventilator which addresses Pulmonary Barotrauma, a Ventilator Induced Lung Injury, whose incidences are being increasingly reported during ventilation of COVID-19 patients and remains unaddressed in most open-source ventilators. Prevention of Pulmonary Barotrauma can attenuate multi-organ failure, thus improving survival in high-risk patients. The proposed control system addresses this problem through adaptive control with real-time pressure correction. Further, using Internet-of-Things for remote monitoring of real-time patient vitals through app/ web-based cloud interface drastically reduces the chances of exposure of medical staff to COVID-19 also reducing the requirement of PPE-Kits. The proposed ventilator is extensively evaluated on various parameters and compared with other open-source ventilators. Project NeT-Vent won the Best Project Award at the University of Queensland Engineering Design hackathon, India 2020 on Ventilator Design. © 2021 IEEE.

17.
Journal of Experimental Biology and Agricultural Sciences ; 9(5):543-571, 2021.
Article in English | Scopus | ID: covidwho-1524723

ABSTRACT

COVID-19 pandemic has taught the world researchers the urgent need for new sources and novel pharmaceuticals not only for existing diseases but also for both seasonal epidemics and future pandemics. Pharmaceutical drug discoveries for the past fifty years depended deeply on the procedure of empirical transmission of a huge number of pure bioactive compounds to provide new leads. The screening of extracts or isolating compounds is a common way to discover novel biologically active molecules. Most of the valuable Blue-Green algal metabolites are concentrated in their biomass. For existence in nature, Blue-Green algae (BGA) secrete and contain various organic substances like proteins, fatty acids, vitamins, pigments, primary and secondary metabolites, and these compounds are explored for potential biological activities such as antibacterial, antifungal, antiviral (including the anti-SARS-CoV-2 virus that causes COVID-19), anticancer, antioxidant, antidiabetic, protease inhibitory activity, anti-inflammatory activity, etc. Due to their diverse application, pharmaceutical companies have shown commercial interest in the Blue-green algal group for the discovery and development of novel molecules to combat deadly diseases for the benefit of society and mankind. The current review paper highlights and discusses the diverse pharmaceutical potential of laboratory-grown cultures of BGA along with comprehensive and current knowledge on bioactive compounds discovered by researchers globally. © 2021, Editorial board of Journal of Experimental Biology and Agricultural Sciences. All rights reserved.

18.
3rd International Conference on Computational and Experimental Methods in Mechanical Engineering, ICCEMME 2021 ; 2007, 2021.
Article in English | Scopus | ID: covidwho-1437798

ABSTRACT

In the modern world there is continual requirement for automated devices. The COVID-19 pandemic is the expounding global health emergency of our time and the greatest challenge we have faced in many years. Authors have to move on by implementing strong protective measures to reduce the spread of COVID -19. This model is designed and presented in order to count the visitors along with their sanitization and thermal screening. This system can be used in any auditorium, halls, schools, offices, malls, etc. Authors have designed a model which can keep a track on number of people entering and exiting from the hall. It sanitizes the visitors entering and exiting from the hall, and check the temperature of each visitor entering in the hall. If the temperature is not according to COVID - 19 standards then a buzzer will buzz indicating that visitor cannot enter in hall. Depending upon the sensors interruption the system recognize entry and exit of visitor. © 2021 Institute of Physics Publishing. All rights reserved.

19.
American Journal of Respiratory and Critical Care Medicine ; 203(9):1, 2021.
Article in English | Web of Science | ID: covidwho-1407428
20.
International Journal of Research in Pharmaceutical Sciences ; 12(3):1850-1860, 2021.
Article in English | EMBASE | ID: covidwho-1302879

ABSTRACT

The Severe acute respiratory syndrome coronavirus-2, the contamination that prompts sickness19(covid-19), has spread quickly from the initially known cases in china in December 2019 to nations round the globe. On March 10,2020, the world health organization reported that there have been 113,702 afFirmed instances of corona virus-19 round the globe, additionaly to 4,012 passing. Due to this worldwide well being emergency analysts are handling build up a corona virus immunization. Protected and compelling immuniza-tions are going to be a game changer: yet for years to return we should always wearing covers, genuinely separating and staying faraway from swarms. Being inoculated doesn’t imply that we will laugh in the face of any potential risk and put ourselves as well as other people in danger, especially in light of the very fact that it is as yet not satisfactory what proportions the antibodies can ensure against sickness also as against contamination and transmission. Vaccine for corona virus are basic devices for managing the pandemic when joined with compelling testing and existing anticipation measures. The general undertaking to form a secure and effective coronavirus vaccine is proving to be fruitful. A handful of vaccines now are authorized round the globe, may more in development. Antibodies save an excellent many lives per annum.

SELECTION OF CITATIONS
SEARCH DETAIL