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1.
ssrn; 2021.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3949425

ABSTRACT

Background: India has the second highest number of COVID-19 cases. We evaluated the progression of the pandemic across the lockdowns and phased reopening during the first wave in India at the district level.Methods: More than 100 million COVID-19 test results along with other parameters available in the Indian Council of Medical Research (ICMR) database during March-October, 2020, was used for the analysis. District was chosen as the unit of analysis, as it is the smallest unit of administration in India. The districts were stratified as high, moderate, and low case load districts, and data analysis was done for each phase of lockdown.Findings: Of the 110.5 million tests included in the analysis, 54.79 million tests were performed using molecular methods, 53.58 million by rapid antigen tests (RATs) and 2.13 million by the indigenous TruNat platform. Only 7.95 million (7.16%) tests were among symptomatic individuals. The positivity proportion among symptomatic individuals (22.6%) was significantly higher than asymptomatic individuals (8.6%). The tests conducted, and positivity proportions were significantly higher in high caseload districts and 58% of these tests were by molecular methods as opposed to only one-third in low case load districts. The proportion of ‘symptomatic contacts’ being tested increased significantly around the peak.Interpretation: Laboratory parameters, along with other demographic information, can help us better understand the spread of the pandemic in a country. Such information can be crucial to formulate and implement public health policies in any future waves of the pandemic.Funding: Indian Council of Medical Research (ICMR)Declaration of Interest: We declare no competing interestsEthical Approval: Approval from the ICMR Central Ethics Committee on Human Research (Ref. No.NCDIR/BEU/ICMR-CECHR/75/2020) was obtained for this study and no patient identifierswere accessed during analysis or reporting.


Subject(s)
COVID-19
2.
Manoj V. Murhekar; Tarun Bhatnagar; Jeromie Wesley Vivian Thangaraj; V. Saravanakumar; Muthusamy Santhosh Kumar; Sriram Selvaraju; Kirankumar Rade; C.P. Girish Kumar; R. Sabarinathan; Alka Turuk; Nivethitha N. Krishnan; Aby Robinson; Nivetha Srinivasan; Smita Asthana; Rakesh Balachandar; Sampada Dipak Bangar; Avi Kumar Bansal; Jyothi Bhat; Vishal Chopra; Dasarathi Das; Alok Kumar Deb; Kangjam Rekha Devi; Gaurav Raj Dwivedi; S. Muhammad Salim Khan; M. Sunil Kumar; Avula Laxmaiah; Major Madhukar; Amarendra Mahapatra; Chethana Rangaraju; Jyotirmayee Turuk; Suresh Yadav; P. K. Anand; Rushikesh Andhalkar; Nimmathota Arlappa; Khalid Bashir; Dinesh Kumar Baradwaj; Pravin Bharti; Debdutta Bhattacharya; Sthita Pragnya Behera; Ashrafjit S. Chahal; Debjit Chakraborty; Anshuman Chaudhury; Hirawati Deval; Sarang Dhatrak; Vikas Dhikav; Rakesh Dayal; Prathiksha Giridharan; Inaamul Haq; Babu Jagjeevan; Agam Jain; Arshad Kalliath; Srikanta Kanungo; T. Karunakaran; Jaya Singh Kshatri; Niraj Kumar; Vijay Kumar; V.G. Vinod Kumar; Gangeti Gandhi Jayanthi Naga Lakshmi; Ganesh Mehta; Anindya Mitra; K. Nagbhushanam; A.R. Nirmala; Subrat Kumar Palo; Ashok Kumar Pandey; Ganta Venkata Prasad; Uday Kumar Pucha; Mariya Amin Qurieshi; Vikas Sabaharwal; Seema Sahay; Ramesh Kumar Sangwan; Rochak Saxena; Krithikaa Sekar; Vijay Kumar Shukla; Hari Bhan Singh; Prashant Kumar Singh; Pushpendra Singh; Rajeev Singh; Mahendra Thakor; Dantuluri Sheethal Varma; Ankit Viramgami; Pradeep A. Menon; Rajiv Yadav; Surabhi Yadav; Manjula Singh; Amit Chakrabarti; Aparup Das; Shanta Dutta; Rajni Kant; A.M. Khan; Kanwar Narain; Somashekar Narasimhaiah; Chandrasekaran Padmapriyadarshini; Krishna Pandey; Sanghamitra Pati; Hemalatha Rajkumar; T. Ramesh; Arun Kumar Sharma; Y.K. Sharma; Shalini Singh; Samiran Panda; D.C.S. Reddy; Balram Bhargava.
ssrn; 2021.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3899801
3.
ssrn; 2020.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3696848

ABSTRACT

Background: There is no sign of stopping the spread of corona virus disease- 2019 (COVID-19) pandemic since it has started in December 2019. Rapid and early detection is extremely crucial to slow down the quick spread of the virus and break the human transmission chain. There are very few studies in search of an alternate and convenient diagnostic tool which can substitute nasopharyngeal swab (NPS) specimen for detection of severe acute respiratory syndrome coronavirus- 2 (SARS-CoV-2). We aimed to analyse the comparison and agreement between the feasibility of using the saliva in comparison to NPS for diagnosis of SARS-CoV-2.Methods: A total number of 74 patients were enrolled for this study. We analysed and compared the NPS and saliva specimen collected within 48 h after the symptom onset. We used real time quantitative polymerase chain reaction (RT-qPCR), gene sequencing for the detection and determination SARS-CoV-2 specific genes. Phylogenetic tree was constructed to establish the isolation of viral RNA from saliva. We use Bland-Altman model to identify the agreement between two specimens.Findings: This study shows a lower cycle threshold (CT) mean value for the detection of SARS-CoV-2 ORF1 gene (mean 27.07; 95% CI, 25.62 to 28.52) in saliva methods than that of NPS (mean 28.24; 95% CI, 26.62 to 29.85) specimen although the difference is statistically non-significant (p>0.05). Bland-Altman analysis produces relatively smaller bias and high agreement between these two clinical specimens. Phylogenetic analysis with the RdRp and Spike gene confirmed the presence of SARS-CoV-2 in the saliva samples.Interpretation: In conclusion, our study highlights that saliva represents a promising tool in COVID-19 diagnosis and the collection method would reduce the exposure risk of frontline health workers which is one of major concerns in primary healthcare settings.Funding Statement: ICMR for provided financial grants for this study.Declaration of Interests: The authors declare that they have no competing interests.Ethics Approval Statement: The study was approved by Institutional Ethics Committee and written informed consent was obtained from the study subjects.


Subject(s)
Severe Acute Respiratory Syndrome , Nasopharyngitis , COVID-19
4.
ssrn; 2020.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3682519

ABSTRACT

Introduction: Testing for extreme acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been hit tremendously worldwide, as the scarcity of test kits has now become a major bottleneck, with the need for testing throughput growing. The study assessed the feasibility of pooled testing in the high throughput machine of Roche Cobas 6800 rapidly increasing the testing number for containing the virus spread and management of cases. Methodology: ICMR-RMRC, Bhubaneswar receives samples from various district hospitals from different districts of Odisha. Pooled testing was conducted in 2 methods. Firstly, we adopted the simple two-stage testing algorithm known as Dorfman pooling with minor modification to avoid selection bias and secondly we evaluated the ability of COBAS for detection of a single positive sample within a pool of negative samples.Results: The Cobas 6800 was able to detect the SARS-COV virus in all the samples, however, the amplified RNA reached the threshold later as the number of negative samples increased in the pool. We demonstrated strategies for pooling, which improve test efficiency and while maintaining high sensitivity in a high-throughput system. The comparison of 1410 samples tested individually and in pools of five samples/pool showed that test results were not significantly affected. Implementing the five-sample Dorfman pooling to test 1410 samples, we identified 42 (2.9%) SARS-CoV-2 positive samples, achieving a 3-fold increase in throughput with one-third of the cost.Conclusion: To the best of our knowledge this study is 1st of its kind to assess the feasibility of pooled testing in high throughput machines. As ICMR has always stressed, aggressive timely testing is the standard protocol for containing the virus spread and management of cases, these high throughput machines installed in six states with a high prevalence of Covid-19, can effectively increase the testing capacity by 2-3 fold, adopting the pooled testing strategy for successful management of SARS-CoV-2.Funding: The study was carried out with funding support from Indian Council of Medical Research.Declaration of Interest: The authors declare that they have no competing interests.Ethical Approval Statement: The study was cleared by ICMR-Regional Medical Research Centre ethical committee.


Subject(s)
Coronavirus Infections , COVID-19
5.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.09.11.20192591

ABSTRACT

Background It is almost nine months, still there is no sign to stop the spreading of the COVID-19 pandemic. Rapid and early detection of the virus is the master key to cease the rapid spread and break the human transmission chain. There are very few studies in search of an alternate and convenient diagnostic tool which can substitute nasopharyngeal swab (NPS) specimen for detection of SARS-CoV-2. We aimed to analyse the comparison and agreement between the feasibility of using the saliva in comparison to NPS for diagnosis of SARS-CoV-2. Methods A total number of 74 patients were enrolled for this study. We analysed and compared the NPS and saliva specimen collected within 48 h after the symptom onset. We used real time quantitative polymerase chain reaction (RT-qPCR), gene sequencing for the detection and determination SARS-CoV-2 specific genes. Phylogenetic tree was constructed to establish the isolation of viral RNA from saliva. We use Bland-Altman model to identify the agreement between two sampling methods. Findings This study shows a lower CT mean value for the detection of SARS-CoV-2 ORF1 gene (27.07; 95% CI, 25.62 to 28.52) in saliva methods than that of NPS (28.24; 95% CI, 26.62 to 29.85) sampling method. Bland-Altman analysis produces relatively smaller bias and high agreement between these specimen tools. Phylogenetic analysis with the RdRp and Spike gene confirmed the presence of SARS-CoV-2 in the saliva samples. Interpretation: In conclusion, our study highlights that saliva represents a promising tool in COVID-19 diagnosis and would reduce the exposure risk of frontline health workers which is one of biggest concern in primary healthcare settings.


Subject(s)
COVID-19
6.
ssrn; 2020.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3685635

ABSTRACT

Introduction: Testing for extreme acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been hit tremendously worldwide, as the scarcity of test kits has now become a major bottleneck, with the need for testing throughput growing. The study assessed the feasibility of pooled testing in the high throughput machine of Roche Cobas 6800 rapidly increasing the testing number for containing the virus spread and management of cases.Methodology: ICMR-RMRC, Bhubaneswar receives samples from various district hospitals from different districts of Odisha. Pooled testing was conducted in 2 methods. Firstly, we adopted the simple two-stage testing algorithm known as Dorfman pooling with minor modification to avoid selection bias and secondly we evaluated the ability of COBAS for detection of a single positive sample within a pool of negative samples.Results: The Cobas 6800 was able to detect the SARS-COV virus in all the samples, however, the amplified RNA reached the threshold later as the number of negative samples increased in the pool. We demonstrated strategies for pooling, which improve test efficiency and while maintaining high sensitivity in a high-throughput system. The comparison of 1410 samples tested individually and in pools of five samples/pool showed that test results were not significantly affected. Implementing the five-sample Dorfman pooling to test 1410 samples, we identified 42 (2.9%) SARS-CoV-2 positive samples, achieving a 3-fold increase in throughput with one-third of the cost.Conclusion: To the best of our knowledge this study is 1st of its kind to assess the feasibility of pooled testing in high throughput machines. As ICMR has always stressed, aggressive timely testing is the standard protocol for containing the virus spread and management of cases, these high throughput machines installed in six states with a high prevalence of COVID-19, can effectively increase the testing capacity by 2-3 fold, adopting the pooled testing strategy for successful management of SARS-CoV-2.


Subject(s)
Coronavirus Infections , COVID-19
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