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3. Prevalence and factors associated with tuberculosis infection in India

Author

Selvaraju, Sriram, Velayutham, Banurekha, Rao, Raghuram, Rade, Kiran, Thiruvengadam, Kannan, Asthana, Smita, Balachandar, Rakesh, Bangar, Sampada Dipak, Bansal, Avi Kumar, Bhat, Jyothi, Chopra, Vishal, Das, Dasarathi, Dutta, Shantha, Devi, Kangjam Rekha, Dwivedi, Gaurav Raj, Kalliath, Arshad, Laxmaiah, Avula, Madhukar, Major, Mahapatra, Amarendra, Mohanty, Suman Sundar, Rangaraju, Chethana, Turuk, Jyotirmayee, Menon, Pradeep Aravindan, Krishnan, Rajendran, Singh, Manjula, Sekar, Krithikaa, Robinson, Aby, Turuk, Alka, Krishnan, Nivethitha N., Srinivasan, Nivetha, Rexy, Catherine, Suresh, M., Hanna, Luke Elizabeth, Choudhury, Avijit H, Parmar, Malik, Ramachandran, Ranjani, Kumar, Nishant, Joshi, Rajendra Panduranga, Narasimhaiah, Somashekar, Chandrasekaran, Padmapriyadarsini, Khan, A.M., Panda, Samiran, and Bhargava, Balram

Published
2023
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4. Gender differences in COVID-19 knowledge, risk perception, and public stigma among the general community: Findings from a nationwide cross-sectional study in India

Author

Stephen, A., Nair, Saritha, Joshi, Aparna, Aggarwal, Sumit, Adhikari, Tulsi, Diwan, Vishal, Devi, Kangjam Rekha, Mishra, Bijaya Kumar, Yadav, Girijesh Kumar, Sahu, Damodar, Gulati, Bal Kishan, Sharma, Saurabh, Yadav, Jeetendra, Ovung, Senthanro, Duggal, Chetna, Sharma, Moina, Bangar, Sampada Dipak, Rebecca, Pricilla B., Rani, S., Selvaraj, Pradeep, Xavier, Gladston G., Peter, Vanessa, Watson, Basilea, Kannan, T., Asmathulla, K.S.M.D., Bhattacharya, Debdutta, Turuk, Jyotirmayee, Palo, Subrata Kumar, Kanungo, Srikanta, Behera, Ajit Kumar, Pandey, Ashok Kumar, Zaman, Kamran, Misra, BrijRanjan, Kumar, Niraj, Behera, SthitaPragnya, Singh, Rajeev, Narain, Kanwar, Kant, Rajni, Sahay, Seema, Tiwari, RajnarayanRamshankar, Thomas, Beena Elizabeth, Karikalan, N., Panda, Samiran, Vardhana Rao, M. Vishnu, Ujagare, Dhammsagar, and Chinchore, Sneha

Published
2023
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5. SARS-CoV-2 seroprevalence among the general population and healthcare workers in India, December 2020–January 2021

Author

Anand, Tanu, Babu, Giridhara R., Chauhan, Himanshu, Dikid, Tanzin, Gangakhedkar, Raman R., Kant, Shashi, Kulkarni, Sanket, Muliyil, J.P., Pandey, Ravindra Mohan, Sarkar, Swarup, Shah, Naman, Shrivastava, Aakash, Singh, Sujeet K., Zodpe, Sanjay, Hindupur, Anusha, Asish, P.R., Chellakumar, M., Chokkalingam, D., Dasgupta, Sauvik, Gowtham, M.M.E., Jose, Annamma, Kalaiyarasi, K., Karthik, N.N., Karunakaran, T., Kiruthika, G., Dinesh Kumar, H., Sarath Kumar, S., Sarath Kumar, M.P., Michaelraj, E., Pradhan, Josephine, Arun Prasath, E.B., Gladys Angelin Rachel, D., Rani, Sudha, Rozario, Amanda, Sivakumar, R., Gnana Soundari, P., Sujeetha, K., Vinod, Arya, Murhekar, Manoj V., Bhatnagar, Tarun, Thangaraj, Jeromie Wesley Vivian, Saravanakumar, V., Kumar, Muthusamy Santhosh, Selvaraju, Sriram, Rade, Kiran, Kumar, C.P. Girish, Sabarinathan, R., Turuk, Alka, Asthana, Smita, Balachandar, Rakesh, Bangar, Sampada Dipak, Bansal, Avi Kumar, Chopra, Vishal, Das, Dasarathi, Deb, Alok Kumar, Devi, Kangjam Rekha, Dhikav, Vikas, Dwivedi, Gaurav Raj, Khan, S. Muhammad Salim, Kumar, M. Sunil, Laxmaiah, Avula, Madhukar, Major, Mahapatra, Amarendra, Rangaraju, Chethana, Turuk, Jyotirmayee, Yadav, Rajiv, Andhalkar, Rushikesh, Arunraj, K., Bharadwaj, Dinesh Kumar, Bharti, Pravin, Bhattacharya, Debdutta, Bhat, Jyothi, Chahal, Ashrafjit S., Chakraborty, Debjit, Chaudhury, Anshuman, Deval, Hirawati, Dhatrak, Sarang, Dayal, Rakesh, Elantamilan, D., Giridharan, Prathiksha, Haq, Inaamul, Hudda, Ramesh Kumar, Jagjeevan, Babu, Kalliath, Arshad, Kanungo, Srikanta, Krishnan, Nivethitha N., Kshatri, Jaya Singh, Kumar, Alok, Kumar, Niraj, Kumar, V.G. Vinoth, Lakshmi, G.G.J. Naga, Mehta, Ganesh, Mishra, Nandan Kumar, Mitra, Anindya, Nagbhushanam, K., Nimmathota, Arlappa, Nirmala, A.R., Pandey, Ashok Kumar, Prasad, Ganta Venkata, Qurieshi, Mariya Amin, Reddy, Sirasanambatti Devarajulu, Robinson, Aby, Sahay, Seema, Saxena, Rochak, Sekar, Krithikaa, Shukla, Vijay Kumar, Singh, Hari Bhan, Singh, Prashant Kumar, Singh, Pushpendra, Singh, Rajeev, Srinivasan, Nivetha, Varma, Dantuluri Sheethal, Viramgami, Ankit, Wilson, Vimith Cheruvathoor, Yadav, Surabhi, Yadav, Suresh, Zaman, Kamran, Chakrabarti, Amit, Das, Aparup, Dhaliwal, R.S., Dutta, Shanta, Kant, Rajni, Khan, A.M., Narain, Kanwar, Narasimhaiah, Somashekar, Padmapriyadarshini, Chandrasekaran, Pandey, Krishna, Pati, Sanghamitra, Patil, Shripad, Rajkumar, Hemalatha, Ramarao, Tekumalla, Sharma, Y.K., Singh, Shalini, Panda, Samiran, Reddy, D.C.S., and Bhargava, Balram

Published
2021
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6. A new species of freshwater crab of the genus HimalayapotamonPretzmann 1966 (Decapoda: Brachyura: Potamidae) from Jammu and Kashmir, Northern India

Author

Kour, Harmeen, Langer, Seema, Mitra, Santanu, Sharma, Nipoon, Devi, Kangjam Rekha, and Narain, Kanwar

Abstract

A new species of potamid freshwater crab of the genus HimalayapotamonPretzmann 1966 is described here on the basis of several specimens collected from different localities in Poonch district, in Jammu province of Jammu and Kashmir, India. The new species Himalayapotamon jammuensecan be differentiated from its congeners by a suite of carapace (i.e., postorbital cristae) and gonopod (first and second) characters. In addition, molecular evidences derived from two mitochondrial gene (16srRNA and cox1) and one nuclear gene (28srRNA) supported the morphological findings. Genetically, H. jammuenseis sister to clade containing H. robertsianum(Pakistan) and H. koolooense(Punjab) which are found in close proximity to Jammu and Kashmir. Moreover, genetic distance inferred for the gene 16srRNA significantly support the species described in the study as a new species.

Published
2024
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7. SARS-CoV-2 antibody seroprevalence in India, August–September, 2020: findings from the second nationwide household serosurvey

Author

Andhalkar, Rushikesh, Chaudhury, Anshuman, Deval, Hirawati, Dhatrak, Sarang, Gupta, Rajeev Ranjan, Ilayaperumal, Ezhilarasan, Jagjeevan, Babu, Jha, Ramesh Chandra, Kiran, K, Krishnan, Nivethitha N, Kumar, Alok, Kumar, VG Vinoth, Nagbhushanam, K, Nimmathota, Arlappa, Pandey, Ashok Kumar, Pawar, Harpreet Singh, Rathore, Kushal Singh, Robinson, Aby, Singh, Hari Bhan, Wilson, Vimith Cheruvathoor, Yadav, Ashwini, Yadav, Rajiv, Karunakaran, T, Pradhan, Josephine, Sivakumar, T, Jose, Annamma, Kalaiyarasi, K, Dasgupta, Sauvik, Anusha, R, Anand, Tanu, Babu, Giridhara R, Chauhan, Himanshu, Dikid, Tanzin, Gangakhedkar, Raman R, Kant, Shashi, Kulkarni, Sanket, Muliyil, J P, Pandey, Ravindra Mohan, Sarkar, Swarup, Shrivastava, Aakash, Singh, Sujeet K, Zodpey, Sanjay, Das, Aparup, Das, Pradeep, Dutta, Shanta, Kant, Rajni, Narain, Kanwar, Narasimhaiah, Somashekar, Pati, Sanghamitra, Patil, Shripad, Rajkumar, Hemalatha, Ramarao, Tekumalla, Sarkar, Kamalesh, Singh, Shalini, Toteja, Gurudayal S, Zaman, Kamran, Murhekar, Manoj V, Bhatnagar, Tarun, Selvaraju, Sriram, Saravanakumar, V, Thangaraj, Jeromie Wesley Vivian, Shah, Naman, Kumar, Muthusamy Santhosh, Rade, Kiran, Sabarinathan, R, Asthana, Smita, Balachandar, Rakesh, Bangar, Sampada Dipak, Bansal, Avi Kumar, Bhat, Jyothi, Chopra, Vishal, Das, Dasarathi, Deb, Alok Kumar, Devi, Kangjam Rekha, Dwivedi, Gaurav Raj, Khan, S Muhammad Salim, Kumar, C P Girish, Kumar, M Sunil, Laxmaiah, Avula, Madhukar, Major, Mahapatra, Amarendra, Mohanty, Suman Sundar, Rangaraju, Chethana, Turuk, Alka, Baradwaj, Dinesh Kumar, Chahal, Ashrafjit S, Debnath, Falguni, Haq, Inaamul, Kalliath, Arshad, Kanungo, Srikanta, Kshatri, Jaya Singh, Lakshmi, G G J Naga, Mitra, Anindya, Nirmala, A R, Prasad, Ganta Venkata, Qurieshi, Mariya Amin, Sahay, Seema, Sangwan, Ramesh Kumar, Sekar, Krithikaa, Shukla, Vijay Kumar, Singh, Prashant Kumar, Singh, Pushpendra, Singh, Rajeev, Varma, Dantuluri Sheethal, Viramgami, Ankit, Panda, Samiran, Reddy, D C S, and Bhargava, Balram

Published
2021
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11. Seroprevalence of IgG antibodies against SARS-CoV-2 among the general population and healthcare workers in India, June-July 2021: A population-based cross-sectional study

Author

Murhekar, Manoj V., Bhatnagar, Tarun, Thangaraj, Jeromie Wesley Vivian, Saravanakumar, V., Santhosh Kumar, Muthusamy, Selvaraju, Sriram, Rade, Kiran, Kumar, C. P. Girish, Sabarinathan, R., Asthana, Smita, Balachandar, Rakesh, Bangar, Sampada Dipak, Bansal, Avi Kumar, Bhat, Jyothi, Chakraborty, Debjit, Chopra, Vishal, Das, Dasarathi, Devi, Kangjam Rekha, Dwivedi, Gaurav Raj, Jain, Agam, Khan, S. Muhammad Salim, Kumar, M. Sunil, Laxmaiah, Avula, Madhukar, Major, Mahapatra, Amarendra, Ramesh, Talluri, Rangaraju, Chethana, Turuk, Jyotirmayee, Yadav, Suresh, and Bhargava, Balram

Subjects
Immunoglobulin G -- Statistics -- Health aspects, Medical personnel -- Statistics -- Health aspects, Biological sciences
Abstract

Background India began COVID-19 vaccination in January 2021, initially targeting healthcare and frontline workers. The vaccination strategy was expanded in a phased manner and currently covers all individuals aged 18 years and above. India experienced a severe second wave of COVID-19 during March-June 2021. We conducted a fourth nationwide serosurvey to estimate prevalence of SARS-CoV-2 antibodies in the general population aged [greater than or equal to]6 years and healthcare workers (HCWs). Methods and findings We did a cross-sectional study between 14 June and 6 July 2021 in the same 70 districts across 20 states and 1 union territory where 3 previous rounds of serosurveys were conducted. From each district, 10 clusters (villages in rural areas and wards in urban areas) were selected by the probability proportional to population size method. From each district, a minimum of 400 individuals aged [greater than or equal to]6 years from the general population (40 individuals from each cluster) and 100 HCWs from the district public health facilities were included. The serum samples were tested for the presence of IgG antibodies against S1-RBD and nucleocapsid protein of SARS-CoV-2 using chemiluminescence immunoassay. We estimated the weighted and test-adjusted seroprevalence of IgG antibodies against SARS-CoV-2, along with 95% CIs, based on the presence of antibodies to S1-RBD and/or nucleocapsid protein. Of the 28,975 individuals who participated in the survey, 2,892 (10%) were aged 6-9 years, 5,798 (20%) were aged 10-17 years, and 20,285 (70%) were aged [greater than or equal to]18 years; 15,160 (52.3%) participants were female, and 21,794 (75.2%) resided in rural areas. The weighted and test-adjusted prevalence of IgG antibodies against S1-RBD and/or nucleocapsid protein among the general population aged [greater than or equal to]6 years was 67.6% (95% CI 66.4% to 68.7%). Seroprevalence increased with age (p < 0.001) and was not different in rural and urban areas (p = 0.822). Compared to unvaccinated adults (62.3%, 95% CI 60.9% to 63.7%), seroprevalence was significantly higher among individuals who had received 1 vaccine dose (81.0%, 95% CI 79.6% to 82.3%, p < 0.001) and 2 vaccine doses (89.8%, 95% CI 88.4% to 91.1%, p < 0.001). The seroprevalence of IgG antibodies among 7,252 HCWs was 85.2% (95% CI 83.5% to 86.7%). Important limitations of the study include the survey design, which was aimed to estimate seroprevalence at the national level and not at a sub-national level, and the non-participation of 19% of eligible individuals in the survey. Conclusions Nearly two-thirds of individuals aged [greater than or equal to]6 years from the general population and 85% of HCWs had antibodies against SARS-CoV-2 by June-July 2021 in India. As one-third of the population is still seronegative, it is necessary to accelerate the coverage of COVID-19 vaccination among adults and continue adherence to non-pharmaceutical interventions., Author(s): Manoj V. Murhekar 1,*, Tarun Bhatnagar 1, Jeromie Wesley Vivian Thangaraj 1, V. Saravanakumar 1, Muthusamy Santhosh Kumar 1, Sriram Selvaraju 2, Kiran Rade 3, C. P. Girish Kumar [...]

Published
2021
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13. Correction: Psychological distress and burnout among healthcare worker during COVID-19 pandemic in India—A cross-sectional study.

Author

Menon, Geetha R., Yadav, Jeetendra, Aggarwal, Sumit, Singh, Ravinder, Kaur, Simran, Chakma, Tapas, Periyasamy, Murugesan, Venkateswaran, Chitra, Singh, Prashant Kumar, Balachandar, Rakesh, Kulkarni, Ragini, Grover, Ashoo, Mishra, Bijaya Kumar, Viray, Maribon, Devi, Kangjam Rekha, Jitenkumar Singh, K. H., Saha, K. B., Barde, P. V., Thomas, Beena, and Suresh, Chandra

Subjects
COVID-19 pandemic, MEDICAL statistics, COMMUNITY health services, CHRISTIAN universities & colleges, MEDICAL schools
Published
2024
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14. MycoVarP: Mycobacterium Variant and Drug Resistance Prediction Pipeline for Whole-Genome Sequence Data Analysis

Author

Swargam, Sandeep, primary, Kumari, Indu, additional, Kumar, Amit, additional, Pradhan, Dibyabhaba, additional, Alam, Anwar, additional, Singh, Harpreet, additional, Jain, Anuja, additional, Devi, Kangjam Rekha, additional, Trivedi, Vishal, additional, Sarma, Jogesh, additional, Hanif, Mahmud, additional, Narain, Kanwar, additional, Ehtesham, Nasreen Zafar, additional, Hasnain, Seyed Ehtesham, additional, and Ahmad, Shandar, additional

Published
2022
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15. Psychological distress and burnout among healthcare worker during COVID-19 pandemic in India—A cross-sectional study

Author

Menon, Geetha R., primary, Yadav, Jeetendra, additional, Aggarwal, Sumit, additional, Singh, Ravinder, additional, Kaur, Simran, additional, Chakma, Tapas, additional, Periyasamy, Murugesan, additional, Venkateswaran, Chitra, additional, Singh, Prashant Kumar, additional, Balachandar, Rakesh, additional, Kulkarni, Ragini, additional, Grover, Ashoo, additional, Mishra, Bijaya Kumar, additional, Viray, Maribon, additional, Devi, Kangjam Rekha, additional, Singh, K. H. Jitenkumar, additional, Saha, K. B., additional, Barde, P. V., additional, Thomas, Beena, additional, Suresh, Chandra, additional, A., Dhanalakshmi, additional, Watson, Basilea, additional, Selvaraj, Pradeep, additional, Xavier, Gladston, additional, John, Denny, additional, Menon, Jaideep, additional, Philip, Sairu, additional, Mathew, Geethu, additional, David, Alice, additional, Vaman, Raman Swathy, additional, Sushan, Abey, additional, Singh, Shalini, additional, Jakhar, Kiran, additional, Ketharam, Asha, additional, Prusty, Ranjan, additional, Kishore, Jugal, additional, Venkatesh, U., additional, Kumar, Subrata, additional, Kanungo, Srikanta, additional, Sahoo, Krushna, additional, Swain, Swagatika, additional, Lyngdoh, Anniesha, additional, Diengdoh, Jochanan, additional, Syiemlieh, Phibawan, additional, Sarkar, AbuHasan, additional, Velhal, Gajanan, additional, Kharnare, Swapnil, additional, Nandanwar, Deepika, additional, Rao, M. Vishnu Vardhana, additional, and Panda, Samiran, additional

Published
2022
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16. SARS-CoV-2 seroprevalence among the general population and healthcare workers in India, December 2020–January 2021

Author

Murhekar, Manoj V., primary, Bhatnagar, Tarun, additional, Thangaraj, Jeromie Wesley Vivian, additional, Saravanakumar, V., additional, Kumar, Muthusamy Santhosh, additional, Selvaraju, Sriram, additional, Rade, Kiran, additional, Kumar, C.P. Girish, additional, Sabarinathan, R., additional, Turuk, Alka, additional, Asthana, Smita, additional, Balachandar, Rakesh, additional, Bangar, Sampada Dipak, additional, Bansal, Avi Kumar, additional, Chopra, Vishal, additional, Das, Dasarathi, additional, Deb, Alok Kumar, additional, Devi, Kangjam Rekha, additional, Dhikav, Vikas, additional, Dwivedi, Gaurav Raj, additional, Khan, S. Muhammad Salim, additional, Kumar, M. Sunil, additional, Laxmaiah, Avula, additional, Madhukar, Major, additional, Mahapatra, Amarendra, additional, Rangaraju, Chethana, additional, Turuk, Jyotirmayee, additional, Yadav, Rajiv, additional, Andhalkar, Rushikesh, additional, Arunraj, K., additional, Bharadwaj, Dinesh Kumar, additional, Bharti, Pravin, additional, Bhattacharya, Debdutta, additional, Bhat, Jyothi, additional, Chahal, Ashrafjit S., additional, Chakraborty, Debjit, additional, Chaudhury, Anshuman, additional, Deval, Hirawati, additional, Dhatrak, Sarang, additional, Dayal, Rakesh, additional, Elantamilan, D., additional, Giridharan, Prathiksha, additional, Haq, Inaamul, additional, Hudda, Ramesh Kumar, additional, Jagjeevan, Babu, additional, Kalliath, Arshad, additional, Kanungo, Srikanta, additional, Krishnan, Nivethitha N., additional, Kshatri, Jaya Singh, additional, Kumar, Alok, additional, Kumar, Niraj, additional, Kumar, V.G. Vinoth, additional, Lakshmi, G.G.J. Naga, additional, Mehta, Ganesh, additional, Mishra, Nandan Kumar, additional, Mitra, Anindya, additional, Nagbhushanam, K., additional, Nimmathota, Arlappa, additional, Nirmala, A.R., additional, Pandey, Ashok Kumar, additional, Prasad, Ganta Venkata, additional, Qurieshi, Mariya Amin, additional, Reddy, Sirasanambatti Devarajulu, additional, Robinson, Aby, additional, Sahay, Seema, additional, Saxena, Rochak, additional, Sekar, Krithikaa, additional, Shukla, Vijay Kumar, additional, Singh, Hari Bhan, additional, Singh, Prashant Kumar, additional, Singh, Pushpendra, additional, Singh, Rajeev, additional, Srinivasan, Nivetha, additional, Varma, Dantuluri Sheethal, additional, Viramgami, Ankit, additional, Wilson, Vimith Cheruvathoor, additional, Yadav, Surabhi, additional, Yadav, Suresh, additional, Zaman, Kamran, additional, Chakrabarti, Amit, additional, Das, Aparup, additional, Dhaliwal, R.S., additional, Dutta, Shanta, additional, Kant, Rajni, additional, Khan, A.M., additional, Narain, Kanwar, additional, Narasimhaiah, Somashekar, additional, Padmapriyadarshini, Chandrasekaran, additional, Pandey, Krishna, additional, Pati, Sanghamitra, additional, Patil, Shripad, additional, Rajkumar, Hemalatha, additional, Ramarao, Tekumalla, additional, Sharma, Y.K., additional, Singh, Shalini, additional, Panda, Samiran, additional, Reddy, D.C.S., additional, Bhargava, Balram, additional, Anand, Tanu, additional, Babu, Giridhara R., additional, Chauhan, Himanshu, additional, Dikid, Tanzin, additional, Gangakhedkar, Raman R., additional, Kant, Shashi, additional, Kulkarni, Sanket, additional, Muliyil, J.P., additional, Pandey, Ravindra Mohan, additional, Sarkar, Swarup, additional, Shah, Naman, additional, Shrivastava, Aakash, additional, Singh, Sujeet K., additional, Zodpe, Sanjay, additional, Hindupur, Anusha, additional, Asish, P.R., additional, Chellakumar, M., additional, Chokkalingam, D., additional, Dasgupta, Sauvik, additional, Gowtham, M.M.E., additional, Jose, Annamma, additional, Kalaiyarasi, K., additional, Karthik, N.N., additional, Karunakaran, T., additional, Kiruthika, G., additional, Dinesh Kumar, H., additional, Sarath Kumar, S., additional, Sarath Kumar, M.P., additional, Michaelraj, E., additional, Pradhan, Josephine, additional, Arun Prasath, E.B., additional, Gladys Angelin Rachel, D., additional, Rani, Sudha, additional, Rozario, Amanda, additional, Sivakumar, R., additional, Gnana Soundari, P., additional, Sujeetha, K., additional, and Vinod, Arya, additional

Published
2021
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17. SARS-CoV-2 antibody seroprevalence in India, August–September, 2020: findings from the second nationwide household serosurvey

Author

Murhekar, Manoj V, primary, Bhatnagar, Tarun, additional, Selvaraju, Sriram, additional, Saravanakumar, V, additional, Thangaraj, Jeromie Wesley Vivian, additional, Shah, Naman, additional, Kumar, Muthusamy Santhosh, additional, Rade, Kiran, additional, Sabarinathan, R, additional, Asthana, Smita, additional, Balachandar, Rakesh, additional, Bangar, Sampada Dipak, additional, Bansal, Avi Kumar, additional, Bhat, Jyothi, additional, Chopra, Vishal, additional, Das, Dasarathi, additional, Deb, Alok Kumar, additional, Devi, Kangjam Rekha, additional, Dwivedi, Gaurav Raj, additional, Khan, S Muhammad Salim, additional, Kumar, C P Girish, additional, Kumar, M Sunil, additional, Laxmaiah, Avula, additional, Madhukar, Major, additional, Mahapatra, Amarendra, additional, Mohanty, Suman Sundar, additional, Rangaraju, Chethana, additional, Turuk, Alka, additional, Baradwaj, Dinesh Kumar, additional, Chahal, Ashrafjit S, additional, Debnath, Falguni, additional, Haq, Inaamul, additional, Kalliath, Arshad, additional, Kanungo, Srikanta, additional, Kshatri, Jaya Singh, additional, Lakshmi, G G J Naga, additional, Mitra, Anindya, additional, Nirmala, A R, additional, Prasad, Ganta Venkata, additional, Qurieshi, Mariya Amin, additional, Sahay, Seema, additional, Sangwan, Ramesh Kumar, additional, Sekar, Krithikaa, additional, Shukla, Vijay Kumar, additional, Singh, Prashant Kumar, additional, Singh, Pushpendra, additional, Singh, Rajeev, additional, Varma, Dantuluri Sheethal, additional, Viramgami, Ankit, additional, Panda, Samiran, additional, Reddy, D C S, additional, Bhargava, Balram, additional, Andhalkar, Rushikesh, additional, Chaudhury, Anshuman, additional, Deval, Hirawati, additional, Dhatrak, Sarang, additional, Gupta, Rajeev Ranjan, additional, Ilayaperumal, Ezhilarasan, additional, Jagjeevan, Babu, additional, Jha, Ramesh Chandra, additional, Kiran, K, additional, Krishnan, Nivethitha N, additional, Kumar, Alok, additional, Kumar, VG Vinoth, additional, Nagbhushanam, K, additional, Nimmathota, Arlappa, additional, Pandey, Ashok Kumar, additional, Pawar, Harpreet Singh, additional, Rathore, Kushal Singh, additional, Robinson, Aby, additional, Singh, Hari Bhan, additional, Wilson, Vimith Cheruvathoor, additional, Yadav, Ashwini, additional, Yadav, Rajiv, additional, Karunakaran, T, additional, Pradhan, Josephine, additional, Sivakumar, T, additional, Jose, Annamma, additional, Kalaiyarasi, K, additional, Dasgupta, Sauvik, additional, Anusha, R, additional, Anand, Tanu, additional, Babu, Giridhara R, additional, Chauhan, Himanshu, additional, Dikid, Tanzin, additional, Gangakhedkar, Raman R, additional, Kant, Shashi, additional, Kulkarni, Sanket, additional, Muliyil, J P, additional, Pandey, Ravindra Mohan, additional, Sarkar, Swarup, additional, Shrivastava, Aakash, additional, Singh, Sujeet K, additional, Zodpey, Sanjay, additional, Das, Aparup, additional, Das, Pradeep, additional, Dutta, Shanta, additional, Kant, Rajni, additional, Narain, Kanwar, additional, Narasimhaiah, Somashekar, additional, Pati, Sanghamitra, additional, Patil, Shripad, additional, Rajkumar, Hemalatha, additional, Ramarao, Tekumalla, additional, Sarkar, Kamalesh, additional, Singh, Shalini, additional, Toteja, Gurudayal S, additional, and Zaman, Kamran, additional

Published
2021
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18. SARS-CoV-2 Sero-Prevalence among General Population and Healthcare Workers in India, December 2020 - January 2021

Author

Murhekar, Manoj V., primary, Bhatnagar, Tarun, additional, Thangaraj, Jeromie Wesley Vivian, additional, Saravanakumar, V., additional, Kumar, Muthusamy Santhosh, additional, Selvaraju, Sriram, additional, Rade, Kiran, additional, CP, Girish Kumar, additional, Sabarinathan, R., additional, Turuk, Alka, additional, Asthana, Smita, additional, Balachandar, Rakesh, additional, Bangar, Sampada Dipak, additional, Bansal, Avi Kumar, additional, Chopra, Vishal, additional, Das, Dasarathi, additional, Deb, Alok Kumar, additional, Devi, Kangjam Rekha, additional, Dhikav, Vikas, additional, Dwivedi, Gaurav Raj, additional, Khan, S. Muhammad Salim, additional, Kumar, M. Sunil, additional, Laxmaiah, Avula, additional, Madhukar, Major, additional, Mahapatra, Amarendra, additional, Rangaraju, Chethana, additional, Turuk, Jyotirmayee, additional, Yadav, Rajiv, additional, Andhalkar, Rushikesh, additional, Arunraj, K., additional, Baradwaj, Dinesh Kumar, additional, Bharti, Pravin, additional, Bhattacharya, Debdutta, additional, Bhat, Jyothi, additional, Chahal, Ashrafjit S., additional, Chakraborty, Debjit, additional, Chaudhury, Anshuman, additional, Deval, Hirawati, additional, Dhatrak, Sarang, additional, Dayal, Rakesh, additional, Elantamilan, D., additional, Giridharan, Prathiksha, additional, Haq, Inaamul, additional, Hudda, Ramesh Kumar, additional, Jagjeevan, Babu, additional, Kalliath, Arshad, additional, Kanungo, Srikanta, additional, Krishnan, Nivethitha N., additional, Kshatri, Jaya Singh, additional, Kumar, Alok, additional, Kumar, Niraj, additional, Kumar, V.G. Vinoth, additional, Naga Lakshmi, Gangeti Gandhi Jayanthi, additional, Mehta, Ganesh, additional, Mishra, Nandan Kumar, additional, Mitra, Anindya, additional, Nagbhushanam, K., additional, Nimmathota, Arlappa, additional, Nirmala, A.R., additional, Pandey, Ashok Kumar, additional, Prasad, Ganta Venkata, additional, Qurieshi, Mariya Amin, additional, Reddy, Sirasanambatti Devarajulu, additional, Robinson, Aby, additional, Sahay, Seema, additional, Saxena, Rochak, additional, Sekar, Krithikaa, additional, Shukla, Vijay Kumar, additional, Singh, Hari Bhan, additional, Singh, Prashant Kumar, additional, Singh, Pushpendra, additional, Singh, Rajeev, additional, Srinivasan, Nivetha, additional, Varma, Dantuluri Sheethal, additional, Viramgami, Ankit, additional, Wilson, Vimith Cheruvathoor, additional, Yadav, Surabhi, additional, Yadav, Suresh, additional, Zaman, Kamran, additional, Chakrabarti, Amit, additional, Das, Aparup, additional, Dhaliwal, R.S., additional, Dutta, Shanta, additional, Kant, Rajni, additional, Khan, A M, additional, Narain, Kanwar, additional, Narasimhaiah, Somashekar, additional, Padmapriyadarshini, Chandrasekaran, additional, Pandey, Krishna, additional, Pati, Sanghamitra, additional, Patil, Shripad, additional, Rajkumar, Hemalatha, additional, Ramarao, Tekumalla, additional, Sharma, Y.K., additional, Singh, Shalini, additional, Panda, Samiran, additional, Reddy, D.C.S., additional, Bhargava, Balram, additional, and Group, ICMR Serosurveillance, additional

Published
2021
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19. Prevalence of Igg Antibodies Against SARS-CoV-2 Among the General Population and Healthcare Workers in India, June–July 2021

Author

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

Published
2021
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20. SARS-CoV-2 Antibody Prevalence in India: Findings from the Second Nationwide Household Serosurvey, August - September 2020

Author

Murhekar, Manoj, primary, Bhatnagar, Tarun, additional, Selvaraju, Sriram, additional, Kumar, V. Saravana, additional, Thangaraj, Jeromie Wesley Vivian, additional, Shah, Naman, additional, Santhosh Kumar, Muthusamy, additional, Rade, Kiran, additional, Sabarinathan, R., additional, Asthana, Smita, additional, Balachandar, Rakesh, additional, Bangar, Sampada Dipak, additional, Bansal, Avi Kumar, additional, Bhat, Jyothi, additional, Chopra, Vishal, additional, Das, Dasarathi, additional, Deb, Alok Kumar, additional, Devi, Kangjam Rekha, additional, Dwivedi, Gaurav Raj, additional, Khan, S. Muhammad Salim, additional, Kumar, CP Girish, additional, Kumar, M. Sunil, additional, Laxmaiah, Avula, additional, Madhukar, Major, additional, Mahapatra, Amarendra, additional, Mohanty, Suman Sundar, additional, Rangaraju, Chethana, additional, Turuk, Alka, additional, Baradwaj, Dinesh Kumar, additional, Chahal, Ashrafjit S., additional, Debnath, Falguni, additional, Haq, Inaamul, additional, Kalliath, Arshad, additional, Kanungo, Srikanta, additional, Kshatri, Jaya, additional, Naga Lakshmi, Gangeti Gandhi Jayanthi, additional, Mitra, Anindya, additional, Nirmala, AR, additional, Prasad, Ganta Venkata, additional, Qurieshi, Mariya Amin, additional, Sahay, Seema, additional, Sangwan, Ramesh Kumar, additional, Sekar, Krithikaa, additional, Shukla, Vijay Kumar, additional, Singh, Prashant Kumar, additional, Singh, Pushpendra, additional, Singh, Rajeev, additional, Varma, Dantuluri Sheethal, additional, Viramgami, Ankit, additional, Panda, Samiran, additional, Reddy, DCS, additional, Bhargava, Balram, additional, and Group, ICMR Serosurveillance, additional

Published
2020
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24. Long telomeres cooperate with p53,MDM2, and p21 polymorphisms to raise pediatric solid tumor risk.

Author

Borbora, Debasish, Dutta, Hemonta K, Devi, Kangjam Rekha, Mahanta, Jagadish, Medhi, Pronita, and Narain, Kanwar

Subjects
CHI-squared test, DOSE-effect relationship in pharmacology, GENETIC polymorphisms, LEUCOCYTES, ONCOGENES, PEDIATRICS, POLYMERASE chain reaction, RISK assessment, TELOMERES, TUMORS in children, CASE-control method, ODDS ratio, GENOTYPES, DISEASE risk factors
Abstract

Background: While leukocyte telomere length has been linked with altered risk in adult cancer, limited information is available on its association with risk in pediatric solid tumors. We investigated the association of telomeric alterations with risk of pediatric solid tumors. We also investigated whether altered telomeres cooperated with the TP53 rs1042522, MDM2 rs2279744 and CDKN1A (p21cip1) rs1059234 single‐nucleotide polymorphisms to modify cancer risk. Methods: A total of 101 tumor patients and 202 controls were recruited for this age‐ and gender‐matched case–control study. Relative telomere length (RTL) was determined in peripheral blood leukocytes using quantitative real‐time polymerase chain reaction (PCR), and the polymorphisms were genotyped using PCR–restriction fragment length polymorphism. Results: Using median RTL in the healthy controls as a cut‐off, children with longer telomeres were at an increased risk of developing a solid tumor (OR, 2.70; P < 0.01). When participants were categorized according to control RTL quartiles, a significant dose–response relationship was observed (χ2 = 10.95; P < 0.001). The risk for tumors increased nearly threefold (P = 0.001) for the triple interaction RTL × TP53 rs1042522 × p21cip1 rs1059234 compared with the maximum effect of any single factor, although the interaction effect was less than additive. The MDM2 rs2279744 GG genotype reduced pediatric solid tumor risk significantly (OR, 0.51). Conclusion: Combined analysis of telomeres and genetic polymorphisms in the TP53 pathway can provide important clues to understanding pediatric solid tumor etiology. [ABSTRACT FROM AUTHOR]

Published
2019
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29. Molecular diversity of Mycobacterium tuberculosis isolates in Treatmentexperienced Patients from Andhra Pradesh, India.

Author

Srikar, Anagoni, Venkataramana, Banda, Mohan, Alladi, Sarma, PVGK, Devi, Kangjam Rekha, Narain, Kanwar, and Chaudhury, Abhijit

Subjects
*MYCOBACTERIUM tuberculosis, *TUBERCULOSIS, *GENETIC variation, *INDIANS (Asians), *GENETIC mutation, *PESTE des petits ruminants
Abstract

Introduction: To get a comprehensive idea about the transmission and epidemiology of TB globally and locally, the use of molecular typing methods has become imperative not only for understanding genetic diversity but also the population structure of Mycobacterium tuberculosis complex (MTBC). We aimed to investigate the drug resistance pattern and genetic diversity of MTBC among previously treated patients with sputum smear-positive pulmonary tuberculosis in a South Indian population. Methodology: 104 patients with sputum smear positivity and who had previously undergone treatment were selected. Drug susceptibility testing, Spoligotyping, MIRU-VNTR, and SNP typing were performed. Results: Mono-resistance to isoniazid 16 (15.38%) was the highest among all drugs. Out of 104 isolates, 24 (23%) isolates were classified as MDR strains. The distributions of most common lineages were: EAI3-Ind-20 (19.23%), EAI5-13 (12.50%), Beijing-12 (11.54%), CAS1-Delhi-9 (8.65%), and 7 (6.73%) each of T-H37rv, Unknown and Orphan types. MIRU-VNTR-based analysis revealed that there are two major groups: CAS1-Delhi and Beijing groups. Out of 104 isolates, 82 belonged to well-defined lineages and 6 clusters, and the remaining 22 were singletons. SNP analysis showed no mutations associated with five sets of genes in 33 strains. Conclusions: The occurrence of 11.54% Beijing strains in South India is an important finding. High frequency of Isoniazid mono resistance noticed. Spoligotyping along with MIRU-VNTR and SNP typing is the best approach to the identification of strain lineages. No mutation with Antigen85C gene represents, can be used for vaccine candidates. [ABSTRACT FROM AUTHOR]

Published
2023
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30. Prevalence of SARS-CoV-2 infection in India: Findings from the national serosurvey, May-June 2020.

Author

Murhekar MV, Bhatnagar T, Selvaraju S, Rade K, Saravanakumar V, Vivian Thangaraj JW, Kumar MS, Shah N, Sabarinathan R, Turuk A, Anand PK, Asthana S, Balachandar R, Bangar SD, Bansal AK, Bhat J, Chakraborty D, Rangaraju C, Chopra V, Das D, Deb AK, Devi KR, Dwivedi GR, Salim Khan SM, Haq I, Kumar MS, Laxmaiah A, Madhuka, Mahapatra A, Mitra A, Nirmala AR, Pagdhune A, Qurieshi MA, Ramarao T, Sahay S, Sharma YK, Shrinivasa MB, Shukla VK, Singh PK, Viramgami A, Wilson VC, Yadav R, Girish Kumar CP, Luke HE, Ranganathan UD, Babu S, Sekar K, Yadav PD, Sapkal GN, Das A, Das P, Dutta S, Hemalatha R, Kumar A, Narain K, Narasimhaiah S, Panda S, Pati S, Patil S, Sarkar K, Singh S, Kant R, Tripathy S, Toteja GS, Babu GR, Kant S, Muliyil JP, Pandey RM, Sarkar S, Singh SK, Zodpey S, Gangakhedkar RR, S Reddy DC, and Bhargava B

Subjects
Adolescent, Adult, Aged, Betacoronavirus pathogenicity, COVID-19, Coronavirus Infections blood, Coronavirus Infections virology, Enzyme-Linked Immunosorbent Assay, Female, Humans, India epidemiology, Male, Middle Aged, Pandemics, Pneumonia, Viral blood, Pneumonia, Viral virology, SARS-CoV-2, Seroepidemiologic Studies, Young Adult, Antibodies, Viral blood, Betacoronavirus genetics, Coronavirus Infections epidemiology, Immunoglobulin G blood, Pneumonia, Viral epidemiology
Abstract

Background & Objectives: Population-based seroepidemiological studies measure the extent of SARS-CoV-2 infection in a country. We report the findings of the first round of a national serosurvey, conducted to estimate the seroprevalence of SARS-CoV-2 infection among adult population of India., Methods: From May 11 to June 4, 2020, a randomly sampled, community-based survey was conducted in 700 villages/wards, selected from the 70 districts of the 21 States of India, categorized into four strata based on the incidence of reported COVID-19 cases. Four hundred adults per district were enrolled from 10 clusters with one adult per household. Serum samples were tested for IgG antibodies using COVID Kavach ELISA kit. All positive serum samples were re-tested using Euroimmun SARS-CoV-2 ELISA. Adjusting for survey design and serial test performance, weighted seroprevalence, number of infections, infection to case ratio (ICR) and infection fatality ratio (IFR) were calculated. Logistic regression was used to determine the factors associated with IgG positivity., Results: Total of 30,283 households were visited and 28,000 individuals were enrolled. Population-weighted seroprevalence after adjusting for test performance was 0.73 per cent [95% confidence interval (CI): 0.34-1.13]. Males, living in urban slums and occupation with high risk of exposure to potentially infected persons were associated with seropositivity. A cumulative 6,468,388 adult infections (95% CI: 3,829,029-11,199,423) were estimated in India by the early May. The overall ICR was between 81.6 (95% CI: 48.3-141.4) and 130.1 (95% CI: 77.0-225.2) with May 11 and May 3, 2020 as plausible reference points for reported cases. The IFR in the surveyed districts from high stratum, where death reporting was more robust, was 11.72 (95% CI: 7.21-19.19) to 15.04 (9.26-24.62) per 10,000 adults, using May 24 and June 1, 2020 as plausible reference points for reported deaths., Interpretation & Conclusions: Seroprevalence of SARS-CoV-2 was low among the adult population in India around the beginning of May 2020. Further national and local serosurveys are recommended to better inform the public health strategy for containment and mitigation of the epidemic in various parts of the country., Competing Interests: None

Published
2020
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