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Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India)

BACKGROUND: The coronavirus disease (COVID) pandemic caused disruption globally and was particularly distressing in low- and middle-income countries such as India. This study aimed to provide population representative estimates of COVID-related outcomes in India over time and characterize how COVID-...

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Autores principales: Banerjee, Joyita, Petrosyan, Sarah, Rao, Abhijith R., Jacob, Steffi, Khobragade, Pranali Yogiraj, Weerman, Bas, Chien, Sandy, Angrisani, Marco, Agarwal, Arunika, Madan, Nirupam, Sethi, Tanya, Dey, Sharmistha, Schaner, Simone, Bloom, David E., Lee, Jinkook, Dey, A. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909130/
https://www.ncbi.nlm.nih.gov/pubmed/36759802
http://dx.doi.org/10.1186/s12889-023-15084-1
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author Banerjee, Joyita
Petrosyan, Sarah
Rao, Abhijith R.
Jacob, Steffi
Khobragade, Pranali Yogiraj
Weerman, Bas
Chien, Sandy
Angrisani, Marco
Agarwal, Arunika
Madan, Nirupam
Sethi, Tanya
Dey, Sharmistha
Schaner, Simone
Bloom, David E.
Lee, Jinkook
Dey, A. B.
author_facet Banerjee, Joyita
Petrosyan, Sarah
Rao, Abhijith R.
Jacob, Steffi
Khobragade, Pranali Yogiraj
Weerman, Bas
Chien, Sandy
Angrisani, Marco
Agarwal, Arunika
Madan, Nirupam
Sethi, Tanya
Dey, Sharmistha
Schaner, Simone
Bloom, David E.
Lee, Jinkook
Dey, A. B.
author_sort Banerjee, Joyita
collection PubMed
description BACKGROUND: The coronavirus disease (COVID) pandemic caused disruption globally and was particularly distressing in low- and middle-income countries such as India. This study aimed to provide population representative estimates of COVID-related outcomes in India over time and characterize how COVID-related changes and impacts differ by key socioeconomic groups across the life course. METHODS: The sample was leveraged from an existing nationally representative study on cognition and dementia in India: Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD). The wave-1 of LASI-DAD enrolled 4096 older adults aged 60 years and older in 3316 households from 18 states and union territories of India. Out of the 3316 LASI-DAD households, 2704 with valid phone numbers were contacted and invited to participate in the Real-Time Insights COVID-19 in India (RTI COVID-India) study. RTI COVID-India was a bi-monthly phone survey that provided insight into the individual’s knowledge, attitudes, and behaviour towards COVID-19 and changes in the household’s economic and health conditions throughout the pandemic. The survey was started in May 2020 and 9 rounds of data have been collected. FINDINGS TILL DATE: Out of the 2704 LASI-DAD households with valid phone numbers, 1766 households participated in the RTI COVID-India survey at least once. Participants were in the age range of 18–102 years, 49% were female, 66% resided in rural area. Across all rounds, there was a higher report of infection among respondents aged 60–69 years. There was a greater prevalence of COVID-19 diagnosis reported in urban (23.0%) compared to rural areas (9.8%). Respondents with higher education had a greater prevalence of COVID-19 diagnosis compared to those with lower or no formal education. Highest prevalence of COVID-19 diagnosis was reported from high economic status compared to middle and low economic status households. Comparing education gradients in experiencing COVID-19 symptoms and being diagnosed, we observe an opposite pattern: respondents with no formal schooling reported the highest level of experiencing COVID-19 symptoms, whereas the greatest proportion of the respondents with secondary school or higher education reported being diagnosed with COVID-19. FUTURE PLANS: The study group will analyse the data collected showing the real-time changes throughout the pandemic and will make the data widely available for researchers to conduct further studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15084-1.
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spelling pubmed-99091302023-02-09 Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India) Banerjee, Joyita Petrosyan, Sarah Rao, Abhijith R. Jacob, Steffi Khobragade, Pranali Yogiraj Weerman, Bas Chien, Sandy Angrisani, Marco Agarwal, Arunika Madan, Nirupam Sethi, Tanya Dey, Sharmistha Schaner, Simone Bloom, David E. Lee, Jinkook Dey, A. B. BMC Public Health Research BACKGROUND: The coronavirus disease (COVID) pandemic caused disruption globally and was particularly distressing in low- and middle-income countries such as India. This study aimed to provide population representative estimates of COVID-related outcomes in India over time and characterize how COVID-related changes and impacts differ by key socioeconomic groups across the life course. METHODS: The sample was leveraged from an existing nationally representative study on cognition and dementia in India: Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD). The wave-1 of LASI-DAD enrolled 4096 older adults aged 60 years and older in 3316 households from 18 states and union territories of India. Out of the 3316 LASI-DAD households, 2704 with valid phone numbers were contacted and invited to participate in the Real-Time Insights COVID-19 in India (RTI COVID-India) study. RTI COVID-India was a bi-monthly phone survey that provided insight into the individual’s knowledge, attitudes, and behaviour towards COVID-19 and changes in the household’s economic and health conditions throughout the pandemic. The survey was started in May 2020 and 9 rounds of data have been collected. FINDINGS TILL DATE: Out of the 2704 LASI-DAD households with valid phone numbers, 1766 households participated in the RTI COVID-India survey at least once. Participants were in the age range of 18–102 years, 49% were female, 66% resided in rural area. Across all rounds, there was a higher report of infection among respondents aged 60–69 years. There was a greater prevalence of COVID-19 diagnosis reported in urban (23.0%) compared to rural areas (9.8%). Respondents with higher education had a greater prevalence of COVID-19 diagnosis compared to those with lower or no formal education. Highest prevalence of COVID-19 diagnosis was reported from high economic status compared to middle and low economic status households. Comparing education gradients in experiencing COVID-19 symptoms and being diagnosed, we observe an opposite pattern: respondents with no formal schooling reported the highest level of experiencing COVID-19 symptoms, whereas the greatest proportion of the respondents with secondary school or higher education reported being diagnosed with COVID-19. FUTURE PLANS: The study group will analyse the data collected showing the real-time changes throughout the pandemic and will make the data widely available for researchers to conduct further studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15084-1. BioMed Central 2023-02-09 /pmc/articles/PMC9909130/ /pubmed/36759802 http://dx.doi.org/10.1186/s12889-023-15084-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Banerjee, Joyita
Petrosyan, Sarah
Rao, Abhijith R.
Jacob, Steffi
Khobragade, Pranali Yogiraj
Weerman, Bas
Chien, Sandy
Angrisani, Marco
Agarwal, Arunika
Madan, Nirupam
Sethi, Tanya
Dey, Sharmistha
Schaner, Simone
Bloom, David E.
Lee, Jinkook
Dey, A. B.
Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India)
title Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India)
title_full Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India)
title_fullStr Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India)
title_full_unstemmed Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India)
title_short Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India)
title_sort cohort profile: real-time insights of covid-19 in india (rti covid-india)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909130/
https://www.ncbi.nlm.nih.gov/pubmed/36759802
http://dx.doi.org/10.1186/s12889-023-15084-1
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