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

Authors :
Kumar MS
Bhatnagar T
Manickam P
Kumar VS
Rade K
Shah N
Kant S
Babu GR
Zodpey S
Girish Kumar CP
Vivian Thangaraj JW
Chatterjee P
Kanungo S
Pandey RM
Murhekar M
Singh SK
Sarkar S
Muliyi JP
Gangakhedkar RR
Reddy DCS
Source :
The Indian journal of medical research [Indian J Med Res] 2020 May; Vol. 151 (5), pp. 419-423.
Publication Year :
2020

Abstract

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.<br />Competing Interests: None

Details

Language :
English
ISSN :
0971-5916
Volume :
151
Issue :
5
Database :
MEDLINE
Journal :
The Indian journal of medical research
Publication Type :
Academic Journal
Accession number :
32611913
Full Text :
https://doi.org/10.4103/ijmr.IJMR_1818_20