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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
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.
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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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