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Multicenter Study
. 2021 Apr 20:10:e66537.
doi: 10.7554/eLife.66537.

Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2

Salwa Naushin #  1   2 Viren Sardana #  1   2 Rajat Ujjainiya  1   2 Nitin Bhatheja  1 Rintu Kutum  1   2 Akash Kumar Bhaskar  1   2 Shalini Pradhan  1 Satyartha Prakash  1 Raju Khan  2   3 Birendra Singh Rawat  2   4 Karthik Bharadwaj Tallapaka  5 Mahesh Anumalla  5 Giriraj Ratan Chandak  2   5 Amit Lahiri  2   6 Susanta Kar  2   6 Shrikant Ramesh Mulay  2   6 Madhav Nilakanth Mugale  2   6 Mrigank Srivastava  2   6 Shaziya Khan  2   6 Anjali Srivastava  2   6 Bhawana Tomar  2   6 Murugan Veerapandian  2   7 Ganesh Venkatachalam  2   7 Selvamani Raja Vijayakumar  7 Ajay Agarwal  2   8 Dinesh Gupta  8 Prakash M Halami  2   9 Muthukumar Serva Peddha  2   9 Gopinath M Sundaram  2   9 Ravindra P Veeranna  2   9 Anirban Pal  2   10 Vinay Kumar Agarwal  10 Anil Ku Maurya  10 Ranvijay Kumar Singh  2   11 Ashok Kumar Raman  11 Suresh Kumar Anandasadagopan  2   12 Parimala Karuppanan  12 Subramanian Venkatesan  2   12 Harish Kumar Sardana  13 Anamika Kothari  13 Rishabh Jain  2   13 Anupama Thakur  2   13 Devendra Singh Parihar  2   13 Anas Saifi  2   13 Jasleen Kaur  2   13 Virendra Kumar  13 Avinash Mishra  2   14 Iranna Gogeri  2   15 Geethavani Rayasam  2   16 Praveen Singh  1   2 Rahul Chakraborty  1   2 Gaura Chaturvedi  1   2 Pinreddy Karunakar  1   2 Rohit Yadav  1   2 Sunanda Singhmar  1 Dayanidhi Singh  1   2 Sharmistha Sarkar  1   2 Purbasha Bhattacharya  1   2 Sundaram Acharya  1   2 Vandana Singh  1   2 Shweta Verma  1   2 Drishti Soni  1   2 Surabhi Seth  1   2 Sakshi Vashisht  1   2 Sarita Thakran  1   2 Firdaus Fatima  1   2 Akash Pratap Singh  1   2 Akanksha Sharma  1   2 Babita Sharma  1   2 Manikandan Subramanian  1 Yogendra S Padwad  2   17 Vipin Hallan  2   17 Vikram Patial  2   17 Damanpreet Singh  2   17 Narendra Vijay Tripude  2   17 Partha Chakrabarti  2   18 Sujay Krishna Maity  18 Dipyaman Ganguly  2   18 Jit Sarkar  2   18 Sistla Ramakrishna  2   19 Balthu Narender Kumar  19 Kiran A Kumar  19 Sumit G Gandhi  2   20 Piyush Singh Jamwal  20 Rekha Chouhan  20 Vijay Lakshmi Jamwal  2   20 Nitika Kapoor  2   20 Debashish Ghosh  2   21 Ghanshyam Thakkar  21 Umakanta Subudhi  2   22 Pradip Sen  2   23 Saumya Ray Chaudhury  2   23 Rashmi Kumar  2   23 Pawan Gupta  2   23 Amit Tuli  2   23 Deepak Sharma  2   23 Rajesh P Ringe  23 Amarnarayan D  24 Mahesh Kulkarni  2   25 Dhansekaran Shanmugam  2   25 Mahesh S Dharne  2   25 Sayed G Dastager  2   25 Rakesh Joshi  2   25 Amita P Patil  25 Sachin N Mahajan  25 Abujunaid Habib Khan  2   25 Vasudev Wagh  2   25 Rakesh Kumar Yadav  2   25 Ajinkya Khilari  2   25 Mayuri Bhadange  2   25 Arvindkumar H Chaurasiya  2   25 Shabda E Kulsange  2   25 Krishna Khairnar  2   26 Shilpa Paranjape  26 Jatin Kalita  27 Narahari G Sastry  27 Tridip Phukan  27 Prasenjit Manna  27 Wahengbam Romi  27 Pankaj Bharali  27 Dibyajyoti Ozah  27 Ravi Kumar Sahu  2   27 Elapavalooru Vssk Babu  2   28 Rajeev Sukumaran  2   29 Aiswarya R Nair  29 Prajeesh Kooloth Valappil  2   29 Anoop Puthiyamadam  2   29 Adarsh Velayudhanpillai  29 Kalpana Chodankar  2   30 Samir Damare  2   30 Yennapu Madhavi  2   31 Ved Varun Aggarwal  2   32 Sumit Dahiya  2   32 Anurag Agrawal  1   2 Debasis Dash  1   2 Shantanu Sengupta  1   2
Affiliations
Multicenter Study

Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2

Salwa Naushin et al. Elife. .

Abstract

To understand the spread of SARS-CoV2, in August and September 2020, the Council of Scientific and Industrial Research (India) conducted a serosurvey across its constituent laboratories and centers across India. Of 10,427 volunteers, 1058 (10.14%) tested positive for SARS-CoV2 anti-nucleocapsid (anti-NC) antibodies, 95% of which had surrogate neutralization activity. Three-fourth of these recalled no symptoms. Repeat serology tests at 3 (n = 607) and 6 (n = 175) months showed stable anti-NC antibodies but declining neutralization activity. Local seropositivity was higher in densely populated cities and was inversely correlated with a 30-day change in regional test positivity rates (TPRs). Regional seropositivity above 10% was associated with declining TPR. Personal factors associated with higher odds of seropositivity were high-exposure work (odds ratio, 95% confidence interval, p value: 2.23, 1.92-2.59, <0.0001), use of public transport (1.79, 1.43-2.24, <0.0001), not smoking (1.52, 1.16-1.99, 0.0257), non-vegetarian diet (1.67, 1.41-1.99, <0.0001), and B blood group (1.36, 1.15-1.61, 0.001).

Keywords: SARS-CoV2; antibody stability; medicine; neutralizing antibody; sero-prevalence; virus.

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Conflict of interest statement

SN, VS, RU, NB, RK, AB, SP, SP, RK, BR, KT, MA, GC, AL, SK, SM, MM, MS, SK, AS, BT, MV, GV, SV, AA, DG, PH, MP, GS, RV, AP, VA, AM, RS, AR, SA, PK, SV, HS, AK, RJ, AT, DP, AS, JK, VK, AM, IG, GR, PS, RC, GC, PK, RY, SS, DS, SS, PB, SA, VS, SV, DS, SS, SV, ST, FF, AS, AS, BS, MS, YP, VH, VP, DS, NT, PC, SM, DG, JS, SR, BK, KK, SG, PJ, RC, VJ, NK, DG, GT, US, PS, SC, RK, PG, AT, DS, RR, AD, MK, DS, MD, SD, RJ, AP, SM, AK, VW, RY, AK, MB, AC, SK, KK, SP, JK, NS, TP, PM, WR, PB, DO, RS, EB, RS, AN, PV, AP, AV, KC, SD, YM, VA, SD, AA, DD, SS No competing interests declared

Figures

Figure 1.
Figure 1.. Demographics of serosurvey (India map may not be to scale and is for representation purposes only and seropositivity is rounded off).
Figure 2.
Figure 2.. Seropositivity and test positivity rate.
(A) Population density-based seropositivity, an overall p value of <0.0001 was obtained on one-way ANOVA. (B) Change in COVID19 test positivity rate (%) for states (y-axis) against observed seropositivity of labs/centers in the state (x-axis). A negative slope reflects declining test positivity rate with increase in seropositivity.
Figure 3.
Figure 3.. Demographics of data available for different variables.
Figure 3—figure supplement 1.
Figure 3—figure supplement 1.. Regression model of seropositivity.
(A) Odds ratio of full dataset and sampled dataset obtained from model. (B) Odds ratio, p value, and variance inflation factor (VIF) for sampled dataset with iterations on regression model. For diet: non-vegetarian against vegetarian; for smoking: non-smoking against smoking; for transportation: public against private; for occupation: outsourced staff against staff; for gender: male against female.
Figure 4.
Figure 4.. Antibody levels (A) and neutralizing activity (B) level at baseline (x-axis) and after 3 months (y-axis).
Antibody levels (C) and neutralizing activity (D) level at baseline (x-axis) and after 5–6 months (y-axis).

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