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National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance
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 thi...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530446/ https://www.ncbi.nlm.nih.gov/pubmed/32611913 http://dx.doi.org/10.4103/ijmr.IJMR_1818_20 |
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author | Kumar, Muthusamy Santhosh Bhatnagar, Tarun Manickam, Ponnaiah Kumar, V. Saravana Rade, Kiran Shah, Naman Kant, Shashi Babu, Giridhara R. Zodpey, Sanjay Girish Kumar, C.P. Vivian Thangaraj, Jeromie Wesley Chatterjee, Pranab Kanungo, Suman Pandey, Ravindra Mohan Murhekar, Manoj Singh, Sujeet K. Sarkar, Swarup Muliyil, J.P. Gangakhedkar, Raman R. Reddy, D.C.S. |
author_facet | Kumar, Muthusamy Santhosh Bhatnagar, Tarun Manickam, Ponnaiah Kumar, V. Saravana Rade, Kiran Shah, Naman Kant, Shashi Babu, Giridhara R. Zodpey, Sanjay Girish Kumar, C.P. Vivian Thangaraj, Jeromie Wesley Chatterjee, Pranab Kanungo, Suman Pandey, Ravindra Mohan Murhekar, Manoj Singh, Sujeet K. Sarkar, Swarup Muliyil, J.P. Gangakhedkar, Raman R. Reddy, D.C.S. |
author_sort | Kumar, Muthusamy Santhosh |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7530446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-75304462020-10-13 National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance Kumar, Muthusamy Santhosh Bhatnagar, Tarun Manickam, Ponnaiah Kumar, V. Saravana Rade, Kiran Shah, Naman Kant, Shashi Babu, Giridhara R. Zodpey, Sanjay Girish Kumar, C.P. Vivian Thangaraj, Jeromie Wesley Chatterjee, Pranab Kanungo, Suman Pandey, Ravindra Mohan Murhekar, Manoj Singh, Sujeet K. Sarkar, Swarup Muliyil, J.P. Gangakhedkar, Raman R. Reddy, D.C.S. Indian J Med Res Protocol 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. Wolters Kluwer - Medknow 2020-05 /pmc/articles/PMC7530446/ /pubmed/32611913 http://dx.doi.org/10.4103/ijmr.IJMR_1818_20 Text en Copyright: © 2020 Indian Journal of Medical Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Protocol Kumar, Muthusamy Santhosh Bhatnagar, Tarun Manickam, Ponnaiah Kumar, V. Saravana Rade, Kiran Shah, Naman Kant, Shashi Babu, Giridhara R. Zodpey, Sanjay Girish Kumar, C.P. Vivian Thangaraj, Jeromie Wesley Chatterjee, Pranab Kanungo, Suman Pandey, Ravindra Mohan Murhekar, Manoj Singh, Sujeet K. Sarkar, Swarup Muliyil, J.P. Gangakhedkar, Raman R. Reddy, D.C.S. National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance |
title | National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance |
title_full | National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance |
title_fullStr | National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance |
title_full_unstemmed | National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance |
title_short | National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance |
title_sort | national sero-surveillance to monitor the trend of sars-cov-2 infection transmission in india: protocol for community-based surveillance |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530446/ https://www.ncbi.nlm.nih.gov/pubmed/32611913 http://dx.doi.org/10.4103/ijmr.IJMR_1818_20 |
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