Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareCOVID-19 and CRISPR Test
English0102Maryam Zarghami DehaghaniEnglishEnglishhttp://ijcrr.com/abstract.php?article_id=3552http://ijcrr.com/article_html.php?did=3552Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareDental Practice during COVID-19
English0303Prabu Mahin Syed IsmailEnglishEnglishhttp://ijcrr.com/abstract.php?article_id=3553http://ijcrr.com/article_html.php?did=3553Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareCOVID-19 Pandemic: Psychological Stress, Ways for Patients to Cope, and Risk Mitigation
English0408Rath NEnglish Sahai AKEnglish Sood VEnglishEnglishSuicide, Risk prevention, COVID-19, Coping skills, Means restriction, Mental healthhttp://ijcrr.com/abstract.php?article_id=3554http://ijcrr.com/article_html.php?did=3554Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareDynamic Paradigms in Bonding Throughout COVID Pandemic
English0911Chaudhary GEnglish Chaudhary AEnglishBackground: COVID-19 has affected all aspects of human life. Health care employees face real-life challenges everywhere in the globe. Dentistry has been equally affected by this pandemic, imposing new precautional steps to be taken in routine practice. Objective: This text aimed towards introducing alternatives to many crucial steps in bonding procedure in orthodontics. Methods: Air free bonding was performed using a plastic water squeezer bottle along with blotting paper instead of using 3 way syringe. Results: The adopted ways resulted in aerosol free bonding. Conclusion: These will be used as an alternate throughout the pandemic.
English Bonding, Covid-19, Health care employees, Orthodonticshttp://ijcrr.com/abstract.php?article_id=3555http://ijcrr.com/article_html.php?did=3555Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareExploratory Data Analysis on the Epidemiology of Coronavirus (COVID-19) Pandemic Outbreak
English1218Ashima TyagiEnglish Deepak ChahalEnglish Latika KharbEnglishSevere Acute Respiratory Syndrome (SARS), first identified in the Guangdong province of China in 2002, affected the world. The transmission of the virus is from animals to animals and also to humans. In late 2019, another novel coronavirus SARS-CoV2 was identified, which became the cause of the coronavirus disease 2019 (COVID-19) that originated from Wuhan, China and quickly spread worldwide, leading to millions of cases and thousands of deaths. The data is extracted from the google sheets associated with a dashboard created by Johns Hopkins University that depicts the countries in the world that have coronavirus infection. The dataset, available from January 22 2020, consists of daily updated information on the infected countries along with the deaths and recoveries from the COVID-19 virus. We showed the effect of COVID-19 worldwide, representing the countries that are majorly affected by the infection and scrutinizing coronavirus trends in India. The techniques and measures that can be adapted to control the pandemic are also discussed in this study. The coronavirus has affected 213 countries around the world till now. The analysis is done using Python Programming Language, dated January 22, 2020 to August 1, 2020, while the virus continues to spread. The paper scrutinizes trends of covid-19 in India by discussing the confirmed, recovered and death cases. Results suggest that coronavirus infection is increasing greatly in Maharashtra, Tamil Nadu, Andhra Pradesh and Delhi. It can be concluded that even though the infection originated from China, the country is successful in its attempt to decrease the transmission of the virus.
EnglishCoronavirus, COVID-19, Pandemic, Python language, Severe acute respiratory syndrome (SARS)http://ijcrr.com/abstract.php?article_id=3556http://ijcrr.com/article_html.php?did=3556Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareAwareness, Attitudes, Vulnerability Perception and Actions Related to COVID-19 Disease Among Relatives and Neighbours of COVID 19 Patients: A Cross-sectional Survey
English1923Shirpurwar JDEnglish Ingole SJEnglish Mote SBEnglish Ingole JREnglishEnglish2019, Actions, Attitudes, Awareness, Corona, Coronavirus, Covid 19, India, Pandemic, Vulnerability Perceptionhttp://ijcrr.com/abstract.php?article_id=3557http://ijcrr.com/article_html.php?did=3557Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareCOVID-19 in Malaysia: Knowledge, Threat Perception, Response Efficacy and Practice in Precautionary Behavior
English2432Su-Hie TingEnglish Edmund Ui-Hang SimEnglishEnglish COVID-19, Malaysia, Protection Motivation Theory, Public perception, Preventive measureshttp://ijcrr.com/abstract.php?article_id=3558http://ijcrr.com/article_html.php?did=3558Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcarePerspective of Ocular Manifestations in Coronavirus Infection: A Review
English3336Gupta NEnglish Nagpal DEnglish Panda SNEnglishEnglishCOVID-19, Coronavirus, Ocular symptoms, Ocular signs, Retina, Fundus imaginghttp://ijcrr.com/abstract.php?article_id=3559http://ijcrr.com/article_html.php?did=3559Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareDiagnosis of COVID-19 using Optimized PCA based Local Binary Pattern Features
English3741Malathy JawaharEnglish Anbarasi LJEnglish Prassanna JEnglish Jackson CJEnglish Manikandan REnglish Alzubi JAEnglish Dhanya DEnglishEnglishCOVID-19, X-ray images (Lungs), Computer Vision, Machine Learning, Local Binary Pattern, Random Foresthttp://ijcrr.com/abstract.php?article_id=3560http://ijcrr.com/article_html.php?did=3560Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareExcessive Yawning in a Child During COVID-19 Lockdown Responding to Vitamin D, Nutritional Supplement and Yoga Therapy
English4244Patil ADEnglish Patil SEnglish Shinde PEnglishCoronavirus Disease (COVID-19) has imposed several restrictions on people of all groups including children. Lockdown has forced the children to stay in the house with limited physical activities, minimal exposure to sunlight and nutritional challenges. This unusual lifestyle may result in the increased incidence of some illnesses in children. We report a case of excessive yawning in a child during the period of lock-down due to COVID-19 which responded to vitamin D supplement, multi-vitamin and mineral supplement and yoga therapy. An 8.5-year-old male child presented with a chief complaint of excessive yawning which started gradually and increased significantly over 15 days. We noted that after nutritional supplementation and yoga therapy, the child showed significant improvement in overall health.
English COVID-19, Nutritional supplement, Physical activity, Response, Vitamin D, Yawninghttp://ijcrr.com/abstract.php?article_id=3561http://ijcrr.com/article_html.php?did=3561Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareLockdown: Pandemic Covid-19 and After What About Glycemic Control Status of Diabetes Mellitus Type II Patients Before and after Lockdown? The Way Ahead
English4549Dilip Pandurang PatilEnglishIntroduction: Covid 19 pandemic and the lockdown to contain the virus spread has thrown the world into unexpected health emergency with disruption of essential health services. The glycemic control of diabetic patients was affected because of the unavailability of drugs and lack of physician consultation. Objective: The study was carried out to evaluate the glycemic control in diabetic patients after the lockdown and its comparison with pre lockdown levels. Methods: When patients with type II diabetes mellitus start following after unlocking, will be enrolled in the study. All patients with type II diabetes mellitus follow in the clinic will be enrolled with the simple random method. More than 150 subjects will be enrolled and data collected over 2.5 months. The statistical analysis will be done by unpaired t-test and chi-square test analyzed by SPSS 19 version of the software. Results: There was a considerable increase in the interquartile range of blood sugar levels with 144.75- 207.50 and 162.0- 198.50 before and after lockdown (pEnglish Lockdown, Blood Sugar Levels, Pandemic Covid-19, Diabetes Mellitus Type II, Glycemic Controlhttp://ijcrr.com/abstract.php?article_id=3562http://ijcrr.com/article_html.php?did=3562Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareInfluence of Protective Mask on Cervical Spine Dysfunction during COVID-19 Pandemic
English5052Ramana KEnglish Kumaresan AEnglish Prathap SuganthirababuEnglish Jagatheesan AlagesanEnglishEnglishhttp://ijcrr.com/abstract.php?article_id=3563http://ijcrr.com/article_html.php?did=3563Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareAssessment of Anxiety Level and Practice Modifications among Dentist during Novel Corona Outbreak (COVID -19) in Tamilnadu
English5358Sadhurya MDEnglish Kannan AEnglish Krithika CLEnglish Yesoda AKEnglishEnglishAnxiety, Fear, Novel Corona Virus 2019, Pandemic, SARS COV-2http://ijcrr.com/abstract.php?article_id=3564http://ijcrr.com/article_html.php?did=3564Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareDetection of Recovery of Covid-19 Cases using Machine Learning
English5963Joseph V. RajEnglish Joliz V. J. AntonEnglish Johnson P. Durai RajEnglishEnglishMachine learning algorithms, Chatbot, Classification, Feature Extractionhttp://ijcrr.com/abstract.php?article_id=3565http://ijcrr.com/article_html.php?did=3565Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareUsage of Artificial Intelligence to Prevent and Regulate COVID-19
English6467Rukmani PEnglish Vergin Raja Sarobin MEnglish Graceline Jasmine SEnglish L. Jani AnbarasiEnglish Priya MishraEnglishIntroduction: In this current situation where COVID- 19 pandemic has affected the whole world, it is high time to take a step to check the expansion of COVID -19. WHO declared it conversely a pandemic and as an emergency. The clinicians and scientists in medical industries are observing for the technologies with which they can perform screening on the medical images to detect the COVID -19 virus in a person. Objectives: Early identification, screening, acquaintance tracing, prediction, drug/vaccine development and detection with the application of assorted models and algorithms of AI and ML for COVID-19. Methods: Different analyses performed by various researchers using machine learning algorithms and Deep Learning Models using Chest X-rays, Blood Tests have been presented. Different techniques and devices used for acquiring the data through various experiments are also presented. Results: This paper presented a few techniques followed by various researchers; accuracy, sensitivity, recall achieved by the methodologies have been presented. Conclusion: Data collection plays a major role in analyzing the COVID-19 where most of the researches find it very difficult, and early diagnosis also plays a major role in the early detection and control of the widespread of COVID-19.
EnglishCOVID-19, Convolutional Neural Network, Transfer Learning Models, KNN, ARIMAhttp://ijcrr.com/abstract.php?article_id=3566http://ijcrr.com/article_html.php?did=3566Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareKnowledge and Perception on COVID-19 Pandemic among the Undergraduate Students of Ayurveda College: A Cross-sectional Online Survey
English6873Srihari SheshagiriEnglish Jyothy Kothanath BhaskaranEnglishEnglishKnowledge, Perceptions, COVID19, Pandemic, Undergraduate Students of Ayurveda, Online Surveyhttp://ijcrr.com/abstract.php?article_id=3567http://ijcrr.com/article_html.php?did=3567Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareAn Overview of Immunological Response, Anti-Viral Therapy and Vaccine Development Against Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV)-2
English7480Ashfaq Ahmad ShahEnglish Kumari RashmiEnglish Vijay KumarEnglish Navin KumarEnglish Amit GuptaEnglishEnglish Coronavirus, COVID-19, Anti-viral drug, Hydroxychloroquinehttp://ijcrr.com/abstract.php?article_id=3568http://ijcrr.com/article_html.php?did=3568Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareContact Tracing of COVID -19 Cases for Early Detection of Infection in Tertiary Care Hospital, Pune
English8185Kendre Varsharani VEnglish Tambe Muralidhar PEnglish Jadhav Yallappa UEnglish Shelke Sangita CEnglish Tapre Vinay SEnglish Lakade Rajesh NEnglishBackground: World Health Organization (WHO) declared COVID-19 as Public Health Emergency of International Concern (PHEIC) on 30th Jan 2020 and later declared it as pandemic on 11th March 2020. Community surveillance plays a significant role in the prevention of the spread of disease. The government of India’s focus has been on community surveillance activities which mainly comprises contact tracing and quarantine. Objective: To explore high risk and low-risk contacts of confirmed COVID-19 patients admitted to a Tertiary Care Center, Pune. To find out the secondary attack rate of COVID-19 cases and To study demographic characters of COVID-19 cases. Methods: Observational cross-sectional study was done in the Tertiary Care Center, where isolation of suspected cases and management of COVID-19 positive patients was done. Details about patients such as age, sex, residence, history of contact with COVID-19 patient, history of travel to COVID-19 affected case was taken by taking the interview. Data were analyzed by Epi-info version 7.2.1.0. The statistical Tests used was the chi-square test. Results: Male patients were more as compared to females. There was a significant association between co-morbidities and deaths of COVID-19 patients. Family members were the most affected contacts of cases(63.16%). 23 families have secondary cases in their homes. The highest secondary attack rate was found to be 83.33% in 2 families. Conclusion: Family members were the most affected contacts of cases (63.16%) followed by health care workers. There was no significant difference between deaths among male and female cases. 23 families(19%) had secondary cases in their homes. The secondary attack rate ranged from 9% to 83.33%, with a median of 24.26%.
EnglishCOVID-19 patients, Contact tracing, High risk, Low risk, Secondary attack ratehttp://ijcrr.com/abstract.php?article_id=3569http://ijcrr.com/article_html.php?did=3569Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareGene Influencing in COVID-19 Infection, Disease Severity and its Pharmacotherapy
English8696Sougata SarkarEnglish Shreyashi DasguptaEnglish Vartika SrivastavaEnglish Satyabrata SahooEnglish Santanu TripathiEnglishEnglishCOVID 19, Pharmacogenomics, Population genomics, Genetic gateways, cytokine storm, Therapeutics in COVID-19http://ijcrr.com/abstract.php?article_id=3570http://ijcrr.com/article_html.php?did=3570Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareA Survey on Coronavirus Vaccination
English97103Vijay KumarEnglish Shipra GuptaEnglish Jasmeet KalraEnglish Shipra AgarwalEnglishEnglishhttp://ijcrr.com/abstract.php?article_id=3571http://ijcrr.com/article_html.php?did=3571Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareComparative Study of Initial Transmission Rate of CORONA Virus Among the Countries
English104108Varalakshmi VEnglish Sunil Kumar KEnglishIntroduction: Coronavirus disease 2019 (COVID-19) is a pandemic disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was first identified in December 2019 in Wuhan and spread in 216 countries due to airborne transmission. But the transmission rate is low in some of the countries and large in a few countries like Italy Iran, Japan, India, the USA etc. Objective: The present paper focuses on the study of the transmission speed of COVID-19 cases. But it is observed that up to 5th march the total daily number of cases conformed is below 1000 from various countries where it is now raised to more than 75,000. Methods: 14 countries case studies are taken depend on the data availability, the first case reported in the last week of January or the first week of February and the severity of the outbreak of COVID-19. The daily reported number of Covid-19 cases for each country is collected from the WHO Daily reports. The data is converted into a graphical form. The selected countries are divided into three groups. The first group contain the cases reported below 10,000 on 16th April 2020, the second group reported the cases between 10,000 to 50000 on or before 16th April and the third group reported above 50,000 cases on 16th April 2020. Results: Sudden rise in cases take place from 12th March 2020 to date over the entire globe. From the available data, it is also observed that the number of countries infected also drastically increased in March 2020. Conclusion: It is also observed that in nearly the first 40-50 days the transmission rate of coronavirus is very low and confirmed cases reporting have travel history. After that, the local transmission took place which led to the sudden rise in confirmed cases.
EnglishCoronavirus, Transmission rate, Countries, Case studies, COVID-19, Travel historyhttp://ijcrr.com/abstract.php?article_id=3572http://ijcrr.com/article_html.php?did=3572Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcarePredicting COVID-19 Cases in Indian States using Random Forest Regression
English109114Aravind MEnglish Srinath KREnglish Maheswari NEnglish Sivagami MEnglishEnglishCOVID-19, Prediction, Random Forest Regression, Test Positivity Rate, Tamil Nadu, Maharashtrahttp://ijcrr.com/abstract.php?article_id=3573http://ijcrr.com/article_html.php?did=3573Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareThe Impact of Clinical Practice E-portfolio in Radiology Education during COVID-19 Outbreak
English115118Mohamed M AbuzaidEnglish Wiam ElshamiEnglish Zarmeena NoorajanEnglishEnglishRadiography, Education, E-portfolio, COVID-19, Clinical Practicehttp://ijcrr.com/abstract.php?article_id=3574http://ijcrr.com/article_html.php?did=3574Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareImpact of COVID-19 Pandemic on Quality of Life and Medication Adherence among Pulmonary TB Patients
English119124Munazzah OroojEnglish Bhavna SharmaEnglish Sumedha RabraEnglish Supriya AwasthiEnglishEnglish COVID-19 Pandemic, Medication Adherence, Pulmonary tuberculosis, Quality of Lifehttp://ijcrr.com/abstract.php?article_id=3575http://ijcrr.com/article_html.php?did=3575Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareCOVID-19 Treatment Options and Vaccination in India: A Perspect
English125132Nagur Sharone GraceEnglish Sowmini KEnglish Veena BEnglish Vadlakonda SruthiEnglishEnglish Immunity, India, Repurposed drugs, SARS CoV-2, Status, Vaccine developmenthttp://ijcrr.com/abstract.php?article_id=3576http://ijcrr.com/article_html.php?did=3576Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareDigital Learning During Covid 19 Pandemic and the Perception of Health Students in North Cyprus, Qatar and Pakistan
English133137Tasneem SEnglish Yarkiner ZEnglish Khalid AEnglish Rabbani MAEnglishEnglishCOVID 19, Online Education, Face to face learning, Health faculty students, Pandemichttp://ijcrr.com/abstract.php?article_id=3577http://ijcrr.com/article_html.php?did=3577Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareA Study on C-reactive Protein and Liver Function Tests in Laboratory RT-PCR Positive Covid-19 Patients in a Tertiary Care Centre – A Retrospective Study
English138141M. Muthu Uma MaheswariEnglish Velayutharaj AEnglish Saraswathi REnglish Prabhushankar SEnglish Shivakumar REnglishEnglish C-reactive protein (CRP), Liver Function Tests (LFT), Severe acute respiratory symptom (SARS-CoV-2) http://ijcrr.com/abstract.php?article_id=3578http://ijcrr.com/article_html.php?did=3578Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareMental Health and Predictors of Depression During Covid-19 Pandemic in General Population of Odisha: A Cross-Sectional Study
English142149Sabat SEnglish Bhuyan VEnglish Mishra SPEnglish Sahoo PKEnglish Sahoo GEnglish Pandit DEnglish Kar DEnglish Bhuyan REnglishEnglish Coronavirus disease, COVID-19, Depression, General population, Mental health, Psychological impacthttp://ijcrr.com/abstract.php?article_id=3579http://ijcrr.com/article_html.php?did=3579Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareCOVID-19 Pandemic: Role of Machine Learning & Deep Learning Methods in Diagnosis
English150155Naresh Kumar TrivediEnglish Sarita SimaiyaEnglish Umesh Kumar LilhoreEnglish Sanjeev Kumar SharmaEnglishEnglish COVID-19, Machine learning, Pandemic, Deep learning, Medical diagnosishttp://ijcrr.com/abstract.php?article_id=3580http://ijcrr.com/article_html.php?did=3580Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcarePrediction of COVID-19 Possibilities using K-Nearest Neighbour Classific
English156164Prasannavenkatesan TheerthagiriEnglish Jeena Jacob IEnglish Usha Ruby AEnglish Vamsidhar YendapalliEnglishIntroduction: COVID-19 is an acute respiratory illness that directly affects the lungs. It is much needed to predict the possibility of occurrence of COVID-19 based on their characteristics. Objective: This paper studies the different machine learning classification algorithms to predict the COVID-19 recovered and deceased cases. Methods: The k-fold cross-validation resampling technique is used to validate the prediction model. Aim and The prediction scores of each algorithm are evaluated with performance metrics such as prediction accuracy, precision, recall, mean square error, confusion matrix, and kappa score. For the preprocessed dataset, the k-nearest neighbour (KNN) classification algorithm produces 80.4 % of predication accuracy and 1.5 to 3.3 % of improved accuracy over other algorithms. Results: The KNN algorithm predicts 92 % (true positive rate) of the deceased cases correctly, with 0.077% of misclassification. Further, the KNN algorithm produces the lowest error rate as 0.19 on the prediction of accurate COVID-19 cases than the other algorithm. Also, it produces the receiver operator characteristic curve with an output value of 82 %. Conclusion: Based on the prediction results of various machine learning classification algorithms on the COVID-19 dataset, this paper shows that the KNN algorithm predicts COVID-19 possibilities well for the smaller (730 records) dataset than other algorithms.
English COVID-19, Prediction, Classification, Machine learning algorithms, KNNhttp://ijcrr.com/abstract.php?article_id=3581http://ijcrr.com/article_html.php?did=3581Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareA Meta-Analysis Based Study on the Outcome of Age on Mortality Among the Covid-19 infected Railway
Staffs of Sambalpur Division, Odisha, India
English165169Rajkumari PEnglish Kar DEnglish Sujata PEnglish Behera MKEnglish Sahoo GEnglish Bhuyan REnglishEnglishMortality, Age, COVID-19, Meta-Analysis, STATA 14.3http://ijcrr.com/abstract.php?article_id=3582http://ijcrr.com/article_html.php?did=3582Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareHealth Education Strategy for Improving the Attitude of Adults Towards Covid-19 Precautions in Udenu
English170176Ruphina U. NwachukwuEnglish Matthias U. AgboezeEnglish Michael O. UgwuezeEnglish Chinasa M. UgwunnadiEnglishEnglishAdults, Attitude, Covid-19, Health Education, SARS-COV-2http://ijcrr.com/abstract.php?article_id=3583http://ijcrr.com/article_html.php?did=3583Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareDescriptive Review of Positive and Negative Antecedent Social Loafing During Pandemic COVID-19
English177183SupardiEnglish Syamsul HadiEnglish Auliya RosianaEnglishEnglish Descriptive Review, Social Loafing, New Normal Era, Business Turbulence, Covid-19http://ijcrr.com/abstract.php?article_id=3584http://ijcrr.com/article_html.php?did=3584Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareCovid-19 Forecasting and Analysis Using Different Time - Series Model and Algorithms
English184189Yash SrivastavaEnglish Shikhar BhardwajEnglish Parvathi REnglishEnglishData-driven, Deep learning, COVID-19 Forecasting, Long short-term memory, Moving average, Exponential smoothing, Holts forecastinghttp://ijcrr.com/abstract.php?article_id=3585http://ijcrr.com/article_html.php?did=3585Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcareAn Audit of the Impact of Countrywide Lockdown During Covid-19 Pandemic on Utilization of Dental Services in India
English190193Gupta VVEnglish Thomas AMEnglish Gandhi SEnglish Atwal PKEnglish Kapoor SEnglish Chitkara NEnglish Mathew RSEnglishntroduction: The global pandemic resulting from the coronavirus disease of 2019 (COVID-19) outbreak has caused significant limitations in the public’s access to routine dental and medical care. Objective: To audit the impact of the COVID-19 Pandemic on the utilization of dental services. Methods: The present retrospective study was conducted in the Department of Oral Medicine and Radiology in collaboration with the Public Health Dentistry Department, Christian Dental College and Hospital Ludhiana. The hospital records of the 972 patients who visited the hospital OPD during the lockdown were analyzed. Results: Men sought emergency treatment more frequently (54.8%) compared to women (45.2%). Approximately 63% of the patients reported had endodontic emergencies like pulpitis, symptomatic alveolar abscess, symptomatic apical periodontitis and failed root canal treatments. The oral surgery department received a patient turnout of around 20% with emergencies like pain is grossly decayed teeth, impacted teeth, road traffic accident cases, dental fracture, neuralgias, tumour and MPDS patients. Prosthetic visits were around about 8%. Conclusion: COVID-19 pandemic decreased the utilization of non-urgent dental services significantly. This subsequently can negatively impact the dental health of the general public. An immediate decrease in dental service utilization is also anticipated due to the financial downturn in the COVID-19 pandemic.
EnglishCOVID-19, Dental Services, Utilization, Emergencies, Pulpitis, Traumahttp://ijcrr.com/abstract.php?article_id=3586http://ijcrr.com/article_html.php?did=3586Radiance Research AcademyInternational Journal of Current Research and Review2231-21960975-5241approachesdiagnosisEnglishN2021March30HealthcarePrecaution and Management in Handling Dead Bodies in COVID 19 Pandemic by the Health Care Worker
English194198Sagar V. PadoleEnglish Preeti ThuteEnglish V. K. ChimurkarEnglish Vaibhav AnjankarEnglishEnglish COVID-19, Dead body, Health care worker, Management, Pandemic, Precautionshttp://ijcrr.com/abstract.php?article_id=3587http://ijcrr.com/article_html.php?did=3587