Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India)
Abstract 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 ho...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-02-01
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| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12889-023-15084-1 |
| _version_ | 1811165719126081536 |
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| author | Joyita Banerjee Sarah Petrosyan Abhijith R. Rao Steffi Jacob Pranali Yogiraj Khobragade Bas Weerman Sandy Chien Marco Angrisani Arunika Agarwal Nirupam Madan Tanya Sethi Sharmistha Dey Simone Schaner David E. Bloom Jinkook Lee A. B. Dey |
| author_facet | Joyita Banerjee Sarah Petrosyan Abhijith R. Rao Steffi Jacob Pranali Yogiraj Khobragade Bas Weerman Sandy Chien Marco Angrisani Arunika Agarwal Nirupam Madan Tanya Sethi Sharmistha Dey Simone Schaner David E. Bloom Jinkook Lee A. B. Dey |
| author_sort | Joyita Banerjee |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-10T15:41:13Z |
| format | Article |
| id | doaj.art-a8b74b8018474686bd3c115354898977 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-04-10T15:41:13Z |
| publishDate | 2023-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-a8b74b8018474686bd3c1153548989772023-02-12T12:24:38ZengBMCBMC Public Health1471-24582023-02-0123111310.1186/s12889-023-15084-1Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India)Joyita Banerjee0Sarah Petrosyan1Abhijith R. Rao2Steffi Jacob3Pranali Yogiraj Khobragade4Bas Weerman5Sandy Chien6Marco Angrisani7Arunika Agarwal8Nirupam Madan9Tanya Sethi10Sharmistha Dey11Simone Schaner12David E. Bloom13Jinkook Lee14A. B. Dey15Venu Geriatric Care Centre, Venu Charitable SocietyCentre for Economic and Social Research, University of Southern CaliforniaDepartment of Medical Oncology, Tata Memorial HospitalVenu Geriatric Care Centre, Venu Charitable SocietyCentre for Economic and Social Research, University of Southern CaliforniaCentre for Economic and Social Research, University of Southern CaliforniaCentre for Economic and Social Research, University of Southern CaliforniaCentre for Economic and Social Research, University of Southern CaliforniaDepartment of Global Health and Population Research, Harvard TH Chan School of Public HealthDepartment of Hospital Administration, All India Institute of Medical SciencesCentre for Economic and Social Research, University of Southern CaliforniaDepartment of Biophysics, All India Institute of Medical SciencesCentre for Economic and Social Research, University of Southern CaliforniaDepartment of Global Health and Population Research, Harvard TH Chan School of Public HealthCentre for Economic and Social Research, University of Southern CaliforniaVenu Geriatric Care Centre, Venu Charitable SocietyAbstract 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.https://doi.org/10.1186/s12889-023-15084-1CohortTelephone surveyCOVID-19PandemicReal time changes |
| spellingShingle | Joyita Banerjee Sarah Petrosyan Abhijith R. Rao Steffi Jacob Pranali Yogiraj Khobragade Bas Weerman Sandy Chien Marco Angrisani Arunika Agarwal Nirupam Madan Tanya Sethi Sharmistha Dey Simone Schaner David E. Bloom Jinkook Lee A. B. Dey Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India) BMC Public Health Cohort Telephone survey COVID-19 Pandemic Real time changes |
| 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 | Cohort Telephone survey COVID-19 Pandemic Real time changes |
| url | https://doi.org/10.1186/s12889-023-15084-1 |
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