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<xml><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>COVID-19 and CRISPR Test&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>01</FirstPage><LastPage>02</LastPage><AuthorList><Author>Maryam Zarghami Dehaghani</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract/><AbstractLanguage>English</AbstractLanguage><Keywords/><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3552</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3552</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Dental Practice during COVID-19&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>03</FirstPage><LastPage>03</LastPage><AuthorList><Author>Prabu Mahin Syed Ismail</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract/><AbstractLanguage>English</AbstractLanguage><Keywords/><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3553</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3553</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>COVID-19 Pandemic: Psychological Stress, Ways for Patients to Cope, and Risk Mitigation&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>04</FirstPage><LastPage>08</LastPage><AuthorList><Author>Rath N</Author><AuthorLanguage>English</AuthorLanguage><Author> Sahai AK</Author><AuthorLanguage>English</AuthorLanguage><Author> Sood V</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Suicide, Risk prevention, COVID-19, Coping skills, Means restriction, Mental health</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3554</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3554</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Dynamic Paradigms in Bonding Throughout COVID Pandemic&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>09</FirstPage><LastPage>11</LastPage><AuthorList><Author>Chaudhary G</Author><AuthorLanguage>English</AuthorLanguage><Author> Chaudhary A</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>Background: 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.&#xD;
</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> Bonding, Covid-19, Health care employees, Orthodontics</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3555</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3555</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Exploratory Data Analysis on the Epidemiology of Coronavirus (COVID-19) Pandemic Outbreak&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>12</FirstPage><LastPage>18</LastPage><AuthorList><Author>Ashima Tyagi</Author><AuthorLanguage>English</AuthorLanguage><Author> Deepak Chahal</Author><AuthorLanguage>English</AuthorLanguage><Author> Latika Kharb</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>Severe 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.&#xD;
</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Coronavirus, COVID-19, Pandemic, Python language, Severe acute respiratory syndrome (SARS)</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3556</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3556</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Awareness, Attitudes, Vulnerability Perception and Actions Related to COVID-19 Disease Among Relatives and Neighbours of COVID 19 Patients: A Cross-sectional Survey&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>19</FirstPage><LastPage>23</LastPage><AuthorList><Author>Shirpurwar JD</Author><AuthorLanguage>English</AuthorLanguage><Author> Ingole SJ</Author><AuthorLanguage>English</AuthorLanguage><Author> Mote SB</Author><AuthorLanguage>English</AuthorLanguage><Author> Ingole JR</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>2019, Actions, Attitudes, Awareness, Corona, Coronavirus, Covid 19, India, Pandemic, Vulnerability Perception</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3557</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3557</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>COVID-19 in Malaysia: Knowledge, Threat Perception, Response Efficacy and Practice in Precautionary Behavior&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>24</FirstPage><LastPage>32</LastPage><AuthorList><Author>Su-Hie Ting</Author><AuthorLanguage>English</AuthorLanguage><Author> Edmund Ui-Hang Sim</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> COVID-19, Malaysia, Protection Motivation Theory, Public perception, Preventive measures</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3558</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3558</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Perspective of Ocular Manifestations in Coronavirus Infection: A Review&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>33</FirstPage><LastPage>36</LastPage><AuthorList><Author>Gupta N</Author><AuthorLanguage>English</AuthorLanguage><Author> Nagpal D</Author><AuthorLanguage>English</AuthorLanguage><Author> Panda SN</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>COVID-19, Coronavirus, Ocular symptoms, Ocular signs, Retina, Fundus imaging</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3559</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3559</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Diagnosis of COVID-19 using Optimized PCA based Local Binary Pattern Features&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>37</FirstPage><LastPage>41</LastPage><AuthorList><Author>Malathy Jawahar</Author><AuthorLanguage>English</AuthorLanguage><Author> Anbarasi LJ</Author><AuthorLanguage>English</AuthorLanguage><Author> Prassanna J</Author><AuthorLanguage>English</AuthorLanguage><Author> Jackson CJ</Author><AuthorLanguage>English</AuthorLanguage><Author> Manikandan R</Author><AuthorLanguage>English</AuthorLanguage><Author>  Alzubi JA</Author><AuthorLanguage>English</AuthorLanguage><Author> Dhanya D</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>COVID-19, X-ray images (Lungs), Computer Vision, Machine Learning, Local Binary Pattern, Random Forest</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3560</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3560</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Excessive Yawning in a Child During COVID-19 Lockdown Responding to Vitamin D, Nutritional Supplement and Yoga Therapy&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>42</FirstPage><LastPage>44</LastPage><AuthorList><Author>Patil AD</Author><AuthorLanguage>English</AuthorLanguage><Author> Patil S</Author><AuthorLanguage>English</AuthorLanguage><Author> Shinde P</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>Coronavirus 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.&#xD;
</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> COVID-19, Nutritional supplement, Physical activity, Response, Vitamin D, Yawning</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3561</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3561</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Lockdown: Pandemic Covid-19 and After What About Glycemic Control Status of Diabetes Mellitus Type II Patients Before and after Lockdown? The Way Ahead&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>45</FirstPage><LastPage>49</LastPage><AuthorList><Author>Dilip Pandurang Patil</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>Introduction: 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 (p</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> Lockdown, Blood Sugar Levels, Pandemic Covid-19, Diabetes Mellitus Type II, Glycemic Control</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3562</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3562</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Influence of Protective Mask on Cervical Spine Dysfunction during COVID-19 Pandemic&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>50</FirstPage><LastPage>52</LastPage><AuthorList><Author>Ramana K</Author><AuthorLanguage>English</AuthorLanguage><Author> Kumaresan A</Author><AuthorLanguage>English</AuthorLanguage><Author> Prathap Suganthirababu</Author><AuthorLanguage>English</AuthorLanguage><Author> Jagatheesan Alagesan</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Cervical neck muscle endurance, COVID &#x2013; 19, Cranio-vertebral angle, Protective mask</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3563</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3563</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Assessment of Anxiety Level and Practice Modifications among Dentist during Novel Corona Outbreak (COVID -19) in Tamilnadu&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>53</FirstPage><LastPage>58</LastPage><AuthorList><Author>Sadhurya MD</Author><AuthorLanguage>English</AuthorLanguage><Author> Kannan A</Author><AuthorLanguage>English</AuthorLanguage><Author> Krithika CL</Author><AuthorLanguage>English</AuthorLanguage><Author> Yesoda AK</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Anxiety, Fear, Novel Corona Virus 2019, Pandemic, SARS COV-2</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3564</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3564</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Detection of Recovery of Covid-19 Cases using Machine Learning&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>59</FirstPage><LastPage>63</LastPage><AuthorList><Author>Joseph V. Raj</Author><AuthorLanguage>English</AuthorLanguage><Author> Joliz V. J. Anton</Author><AuthorLanguage>English</AuthorLanguage><Author> Johnson P. Durai Raj</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Machine learning algorithms, Chatbot, Classification, Feature Extraction</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3565</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3565</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Usage of Artificial Intelligence to Prevent and Regulate COVID-19&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>64</FirstPage><LastPage>67</LastPage><AuthorList><Author>Rukmani P</Author><AuthorLanguage>English</AuthorLanguage><Author> Vergin Raja Sarobin M</Author><AuthorLanguage>English</AuthorLanguage><Author> Graceline Jasmine S</Author><AuthorLanguage>English</AuthorLanguage><Author> L. Jani Anbarasi</Author><AuthorLanguage>English</AuthorLanguage><Author>  Priya Mishra</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>Introduction: 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.&#xD;
</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>COVID-19, Convolutional Neural Network, Transfer Learning Models, KNN, ARIMA</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3566</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3566</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Knowledge and Perception on COVID-19 Pandemic among the Undergraduate Students of Ayurveda College: A Cross-sectional Online Survey&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>68</FirstPage><LastPage>73</LastPage><AuthorList><Author>Srihari Sheshagiri</Author><AuthorLanguage>English</AuthorLanguage><Author> Jyothy Kothanath Bhaskaran</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Knowledge, Perceptions, COVID19, Pandemic, Undergraduate Students of Ayurveda, Online Survey</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3567</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3567</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>An Overview of Immunological Response, Anti-Viral Therapy and Vaccine Development Against Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV)-2&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>74</FirstPage><LastPage>80</LastPage><AuthorList><Author>Ashfaq Ahmad Shah</Author><AuthorLanguage>English</AuthorLanguage><Author> Kumari Rashmi</Author><AuthorLanguage>English</AuthorLanguage><Author> Vijay Kumar</Author><AuthorLanguage>English</AuthorLanguage><Author> Navin Kumar</Author><AuthorLanguage>English</AuthorLanguage><Author>  Amit Gupta</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> Coronavirus, COVID-19, Anti-viral drug, Hydroxychloroquine</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3568</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3568</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Contact Tracing of COVID -19 Cases for Early Detection of Infection in Tertiary Care Hospital, Pune&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>81</FirstPage><LastPage>85</LastPage><AuthorList><Author>Kendre Varsharani V</Author><AuthorLanguage>English</AuthorLanguage><Author> Tambe Muralidhar P</Author><AuthorLanguage>English</AuthorLanguage><Author> Jadhav Yallappa U</Author><AuthorLanguage>English</AuthorLanguage><Author> Shelke Sangita C</Author><AuthorLanguage>English</AuthorLanguage><Author> Tapre Vinay S</Author><AuthorLanguage>English</AuthorLanguage><Author> Lakade Rajesh N</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>Background: 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&#x2019;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%.&#xD;
</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>COVID-19 patients, Contact tracing, High risk, Low risk, Secondary attack rate</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3569</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3569</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Gene Influencing in COVID-19 Infection, Disease Severity and its Pharmacotherapy&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>86</FirstPage><LastPage>96</LastPage><AuthorList><Author>Sougata Sarkar</Author><AuthorLanguage>English</AuthorLanguage><Author> Shreyashi Dasgupta</Author><AuthorLanguage>English</AuthorLanguage><Author> Vartika Srivastava</Author><AuthorLanguage>English</AuthorLanguage><Author>  Satyabrata Sahoo</Author><AuthorLanguage>English</AuthorLanguage><Author> Santanu Tripathi</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>COVID 19, Pharmacogenomics, Population genomics, Genetic gateways, cytokine storm, Therapeutics in COVID-19</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3570</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3570</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>A Survey on Coronavirus Vaccination&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>97</FirstPage><LastPage>103</LastPage><AuthorList><Author>Vijay Kumar</Author><AuthorLanguage>English</AuthorLanguage><Author> Shipra Gupta</Author><AuthorLanguage>English</AuthorLanguage><Author> Jasmeet Kalra</Author><AuthorLanguage>English</AuthorLanguage><Author> Shipra Agarwal</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> Coronavirus, Vaccination, Survey, Respondent&#x2019;s perception, Behaviour study</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3571</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3571</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Comparative Study of Initial Transmission Rate of CORONA Virus Among the Countries&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>104</FirstPage><LastPage>108</LastPage><AuthorList><Author>Varalakshmi V</Author><AuthorLanguage>English</AuthorLanguage><Author> Sunil Kumar K</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>Introduction: 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.&#xD;
</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Coronavirus, Transmission rate, Countries, Case studies, COVID-19, Travel history</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3572</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3572</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Predicting COVID-19 Cases in Indian States using Random Forest Regression&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>109</FirstPage><LastPage>114</LastPage><AuthorList><Author>Aravind M</Author><AuthorLanguage>English</AuthorLanguage><Author> Srinath KR</Author><AuthorLanguage>English</AuthorLanguage><Author> Maheswari N</Author><AuthorLanguage>English</AuthorLanguage><Author> Sivagami M</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>COVID-19, Prediction, Random Forest Regression, Test Positivity Rate, Tamil Nadu, Maharashtra</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3573</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3573</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>The Impact of Clinical Practice E-portfolio in Radiology Education during COVID-19 Outbreak&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>115</FirstPage><LastPage>118</LastPage><AuthorList><Author>Mohamed M Abuzaid</Author><AuthorLanguage>English</AuthorLanguage><Author> Wiam Elshami</Author><AuthorLanguage>English</AuthorLanguage><Author> Zarmeena Noorajan</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Radiography, Education, E-portfolio, COVID-19, Clinical Practice</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3574</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3574</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Impact of COVID-19 Pandemic on Quality of Life and Medication Adherence among Pulmonary TB Patients&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>119</FirstPage><LastPage>124</LastPage><AuthorList><Author>Munazzah Orooj</Author><AuthorLanguage>English</AuthorLanguage><Author> Bhavna Sharma</Author><AuthorLanguage>English</AuthorLanguage><Author> Sumedha Rabra</Author><AuthorLanguage>English</AuthorLanguage><Author> Supriya Awasthi</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> COVID-19 Pandemic, Medication Adherence, Pulmonary tuberculosis, Quality of Life</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3575</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3575</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>COVID-19 Treatment Options and Vaccination in India: A Perspect&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>125</FirstPage><LastPage>132</LastPage><AuthorList><Author>Nagur Sharone Grace</Author><AuthorLanguage>English</AuthorLanguage><Author> Sowmini K</Author><AuthorLanguage>English</AuthorLanguage><Author> Veena B</Author><AuthorLanguage>English</AuthorLanguage><Author> Vadlakonda Sruthi</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> Immunity, India, Repurposed drugs, SARS CoV-2, Status, Vaccine development</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3576</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3576</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Digital Learning During Covid 19 Pandemic and the Perception of Health Students in North Cyprus, Qatar and Pakistan&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>133</FirstPage><LastPage>137</LastPage><AuthorList><Author>Tasneem S</Author><AuthorLanguage>English</AuthorLanguage><Author> Yarkiner Z</Author><AuthorLanguage>English</AuthorLanguage><Author> Khalid A</Author><AuthorLanguage>English</AuthorLanguage><Author> Rabbani MA</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>COVID 19, Online Education, Face to face learning, Health faculty students, Pandemic</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3577</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3577</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>A Study on C-reactive Protein and Liver Function Tests in Laboratory RT-PCR Positive Covid-19 Patients in a Tertiary Care Centre &#x2013; A Retrospective Study&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>138</FirstPage><LastPage>141</LastPage><AuthorList><Author>M. Muthu Uma Maheswari</Author><AuthorLanguage>English</AuthorLanguage><Author> Velayutharaj A</Author><AuthorLanguage>English</AuthorLanguage><Author> Saraswathi R</Author><AuthorLanguage>English</AuthorLanguage><Author>  Prabhushankar S</Author><AuthorLanguage>English</AuthorLanguage><Author> Shivakumar R</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> C-reactive protein (CRP), Liver Function Tests (LFT), Severe acute respiratory symptom (SARS-CoV-2) </Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3578</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3578</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Mental Health and Predictors of Depression During Covid-19 Pandemic in General Population of Odisha: A Cross-Sectional Study&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>142</FirstPage><LastPage>149</LastPage><AuthorList><Author>Sabat S</Author><AuthorLanguage>English</AuthorLanguage><Author> Bhuyan V</Author><AuthorLanguage>English</AuthorLanguage><Author> Mishra SP</Author><AuthorLanguage>English</AuthorLanguage><Author> Sahoo PK</Author><AuthorLanguage>English</AuthorLanguage><Author> Sahoo G</Author><AuthorLanguage>English</AuthorLanguage><Author> Pandit D</Author><AuthorLanguage>English</AuthorLanguage><Author> Kar D</Author><AuthorLanguage>English</AuthorLanguage><Author>  Bhuyan R</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> Coronavirus disease, COVID-19, Depression, General population, Mental health, Psychological impact</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3579</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3579</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>COVID-19 Pandemic: Role of Machine Learning &amp; Deep Learning Methods in Diagnosis&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>150</FirstPage><LastPage>155</LastPage><AuthorList><Author>Naresh Kumar Trivedi</Author><AuthorLanguage>English</AuthorLanguage><Author> Sarita Simaiya</Author><AuthorLanguage>English</AuthorLanguage><Author> Umesh Kumar Lilhore</Author><AuthorLanguage>English</AuthorLanguage><Author>  Sanjeev Kumar Sharma</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> COVID-19, Machine learning, Pandemic, Deep learning, Medical diagnosis</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3580</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3580</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Prediction of COVID-19 Possibilities using K-Nearest Neighbour Classific&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>156</FirstPage><LastPage>164</LastPage><AuthorList><Author>Prasannavenkatesan Theerthagiri</Author><AuthorLanguage>English</AuthorLanguage><Author> Jeena Jacob I</Author><AuthorLanguage>English</AuthorLanguage><Author> Usha Ruby A</Author><AuthorLanguage>English</AuthorLanguage><Author>  Vamsidhar Yendapalli</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>Introduction: 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.&#xD;
</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> COVID-19, Prediction, Classification, Machine learning algorithms, KNN</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3581</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3581</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>A Meta-Analysis Based Study on the Outcome of Age on Mortality Among the Covid-19 infected Railway&#xD;
Staffs of Sambalpur Division, Odisha, India&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>165</FirstPage><LastPage>169</LastPage><AuthorList><Author>Rajkumari P</Author><AuthorLanguage>English</AuthorLanguage><Author> Kar D</Author><AuthorLanguage>English</AuthorLanguage><Author> Sujata P</Author><AuthorLanguage>English</AuthorLanguage><Author> Behera MK</Author><AuthorLanguage>English</AuthorLanguage><Author> Sahoo G</Author><AuthorLanguage>English</AuthorLanguage><Author> Bhuyan R</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Mortality, Age, COVID-19, Meta-Analysis, STATA 14.3</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3582</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3582</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Health Education Strategy for Improving the Attitude of Adults Towards Covid-19 Precautions in Udenu&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>170</FirstPage><LastPage>176</LastPage><AuthorList><Author>Ruphina U. Nwachukwu</Author><AuthorLanguage>English</AuthorLanguage><Author> Matthias U. Agboeze</Author><AuthorLanguage>English</AuthorLanguage><Author> Michael O. Ugwueze</Author><AuthorLanguage>English</AuthorLanguage><Author>  Chinasa M. Ugwunnadi</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Adults, Attitude, Covid-19, Health Education, SARS-COV-2</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3583</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3583</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Descriptive Review of Positive and Negative Antecedent Social Loafing During Pandemic COVID-19&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>177</FirstPage><LastPage>183</LastPage><AuthorList><Author>Supardi</Author><AuthorLanguage>English</AuthorLanguage><Author> Syamsul Hadi</Author><AuthorLanguage>English</AuthorLanguage><Author> Auliya Rosiana</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> Descriptive Review, Social Loafing, New Normal Era, Business Turbulence, Covid-19</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3584</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3584</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Covid-19 Forecasting and Analysis Using Different Time - Series Model and Algorithms&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>184</FirstPage><LastPage>189</LastPage><AuthorList><Author>Yash Srivastava</Author><AuthorLanguage>English</AuthorLanguage><Author> Shikhar Bhardwaj</Author><AuthorLanguage>English</AuthorLanguage><Author> Parvathi R</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Data-driven, Deep learning, COVID-19 Forecasting, Long short-term memory, Moving average, Exponential smoothing, Holts forecasting</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3585</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3585</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>An Audit of the Impact of Countrywide Lockdown During Covid-19 Pandemic on Utilization of Dental Services in India&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>190</FirstPage><LastPage>193</LastPage><AuthorList><Author>Gupta VV</Author><AuthorLanguage>English</AuthorLanguage><Author> Thomas AM</Author><AuthorLanguage>English</AuthorLanguage><Author> Gandhi S</Author><AuthorLanguage>English</AuthorLanguage><Author> Atwal PK</Author><AuthorLanguage>English</AuthorLanguage><Author> Kapoor S</Author><AuthorLanguage>English</AuthorLanguage><Author> Chitkara N</Author><AuthorLanguage>English</AuthorLanguage><Author>  Mathew RS</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>ntroduction: The global pandemic resulting from the coronavirus disease of 2019 (COVID-19) outbreak has caused significant limitations in the public&#x2019;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.&#xD;
</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>COVID-19, Dental Services, Utilization, Emergencies, Pulpitis, Trauma</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3586</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3586</Fulltext></URLs></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>Modern approaches for diagnosis of COVID-19 and current status of awareness</Volume><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2021</Year><Month>March</Month><Day>30</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>Precaution and Management in Handling Dead Bodies in COVID 19 Pandemic by the Health Care Worker&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>194</FirstPage><LastPage>198</LastPage><AuthorList><Author>Sagar V. Padole</Author><AuthorLanguage>English</AuthorLanguage><Author> Preeti Thute</Author><AuthorLanguage>English</AuthorLanguage><Author> V. K. Chimurkar</Author><AuthorLanguage>English</AuthorLanguage><Author> Vaibhav Anjankar</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract></Abstract><AbstractLanguage>English</AbstractLanguage><Keywords> COVID-19, Dead body, Health care worker, Management, Pandemic, Precautions</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=3587</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=3587</Fulltext></URLs></Article></ArticleSet></xml>
