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Year : 2020  |  Volume : 151  |  Issue : 5  |  Page : 419-423

National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance

1 ICMR School of Public Health, Chennai, India
2 ICMR-National Institute of Epidemiology, Chennai, India
3 Division of Epidemiology & Bio-Statistics, Chennai, India
4 WHO Country Office for India, New Delhi, India
5 Jan Swasthya Sahyog, Bilaspur, Chhattisgarh, India
6 Centre for Community Medicine, Bengaluru, India
7 Indian Institute of Public Health-Bengaluru, India
8 Indian Institute of Public Health-Delhi, Public Health Foundation of India, New Delhi, India
9 Translational Global Health Policy Research Cell (Department of Health Research), Indian Council of Medical Research, New Delhi, India
10 ICMR-National Institute of Cholera & Enteric Diseases, Kolkata, West Bengal, India
11 Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
12 National Centre for Disease Control, Delhi, India
13 Independent Consultant, Vellore, Tamil Nadu, India
14 Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India
15 Independent Consultant, Lucknow, Uttar Pradesh, India

Correspondence Address:
Manoj Murhekar
ICMR-National Institute of Epidemiology, R127, TNHB, Ayapakkam, Chennai 600 007, Tamil Nadu
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijmr.IJMR_1818_20

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Conducting population-based serosurveillance for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) will estimate and monitor the trend of infection in the adult general population, determine the socio-demographic risk factors and delineate the geographical spread of the infection. For this purpose, a serial cross-sectional survey would be conducted with a sample size of 24,000 distributed equally across four strata of districts categorized on the basis of the incidence of reported cases of COVID-19. Sixty districts will be included in the survey. Simultaneously, the survey will be done in 10 high-burden hotspot cities. ELISA-based antibody tests would be used. Data collection will be done using a mobile-based application. Prevalence from the group of districts in each of the four strata will be pooled to estimate the population prevalence of COVID-19 infection, and similarly for the hotspot cities, after adjusting for demographic characteristics and antibody test performance. The total number of reported cases in the districts and hotspot cities will be adjusted using this seroprevalence to estimate the expected number of infected individuals in the area. Such serosurveys repeated at regular intervals can also guide containment measures in respective areas. State-specific context of disease burden, priorities and resources should guide the use of multifarious surveillance options for the current COVID-19 epidemic.

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