| Literature DB >> 32611913 |
Muthusamy Santhosh Kumar1, Tarun Bhatnagar1, Ponnaiah Manickam2, V Saravana Kumar3, Kiran Rade4, Naman Shah5, Shashi Kant6, Giridhara R Babu7, Sanjay Zodpey8, C P Girish Kumar2, Jeromie Wesley Vivian Thangaraj2, Pranab Chatterjee9, Suman Kanungo10, Ravindra Mohan Pandey11, Manoj Murhekar2, Sujeet K Singh12, Swarup Sarkar9, J P Muliyi13, Raman R Gangakhedkar14, D C S Reddy15.
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.Entities:
Keywords: Antibody - COVID-19 - hotspot - SARS-CoV-2 - serial cross-sectional - seroprevalence - surveillance - trend
Mesh:
Substances:
Year: 2020 PMID: 32611913 PMCID: PMC7530446 DOI: 10.4103/ijmr.IJMR_1818_20
Source DB: PubMed Journal: Indian J Med Res ISSN: 0971-5916 Impact factor: 2.375
Schema for selection of individuals from selected household in the cluster
| Number of adult females in household | Number of adults in the household | |||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 or more | |
| 0 | Male | Youngest male | Youngest male | Oldest male |
| 1 | Female | Female | Oldest male | Female |
| 2 | Oldest female | Male | Oldest male | |
| 3 | Youngest female | Older male | ||
| 4 or more | Oldest female | |||