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The burden of COVID-19 infection in a rural Tamil Nadu community

BACKGROUND: There have been over 30 million cases of COVID-19 in India and over 430,000 deaths. Transmission rates vary from region to region, and are influenced by many factors including population susceptibility, travel and uptake of preventive measures. To date there have been relatively few stud...

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Autores principales: Isaac, R., Paul, B., Finkel, M., Moorthy, M., Venkateswaran, S., Bachmann, T. T., Pinnock, H., Norrie, J., Ramalingam, S., Minz, S., Hansdak, S., Blythe, R., Keller, M., Muliyil, J., Weller, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552615/
https://www.ncbi.nlm.nih.gov/pubmed/34711193
http://dx.doi.org/10.1186/s12879-021-06787-0
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author Isaac, R.
Paul, B.
Finkel, M.
Moorthy, M.
Venkateswaran, S.
Bachmann, T. T.
Pinnock, H.
Norrie, J.
Ramalingam, S.
Minz, S.
Hansdak, S.
Blythe, R.
Keller, M.
Muliyil, J.
Weller, D.
author_facet Isaac, R.
Paul, B.
Finkel, M.
Moorthy, M.
Venkateswaran, S.
Bachmann, T. T.
Pinnock, H.
Norrie, J.
Ramalingam, S.
Minz, S.
Hansdak, S.
Blythe, R.
Keller, M.
Muliyil, J.
Weller, D.
author_sort Isaac, R.
collection PubMed
description BACKGROUND: There have been over 30 million cases of COVID-19 in India and over 430,000 deaths. Transmission rates vary from region to region, and are influenced by many factors including population susceptibility, travel and uptake of preventive measures. To date there have been relatively few studies examining the impact of the pandemic in lower income, rural regions of India. We report on a study examining COVID-19 burden in a rural community in Tamil Nadu. METHODS: The study was undertaken in a population of approximately 130,000 people, served by the Rural Unit of Health and Social Affairs (RUHSA), a community health center of CMC, Vellore. We established and evaluated a COVID-19 PCR-testing programme for symptomatic patients—testing was offered to 350 individuals, and household members of test-positive cases were offered antibody testing. We also undertook two COVID-19 seroprevalence surveys in the same community, amongst 701 randomly-selected individuals. RESULTS: There were 182 positive tests in the symptomatic population (52.0%). Factors associated with test-positivity were older age, male gender, higher socioeconomic status (SES, as determined by occupation, education and housing), a history of diabetes, contact with a confirmed/suspected case and attending a gathering (such as a religious ceremony, festival or extended family gathering). Amongst test-positive cases, 3 (1.6%) died and 16 (8.8%) suffered a severe illness. Amongst 129 household contacts 40 (31.0%) tested positive. The two seroprevalence surveys showed positivity rates of 2.2% (July/Aug 2020) and 22.0% (Nov 2020). 40 tested positive (31.0%, 95% CI: 23.02 − 38.98). Our estimated infection-to-case ratio was 31.7. CONCLUSIONS: A simple approach using community health workers and a community-based testing clinic can readily identify significant numbers of COVID-19 infections in Indian rural population. There appear, however, to be low rates of death and severe illness, although vulnerable groups may be under-represented in our sample. It’s vital these lower income, rural populations aren’t overlooked in ongoing pandemic monitoring and vaccine roll-out in India.
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spelling pubmed-85526152021-10-29 The burden of COVID-19 infection in a rural Tamil Nadu community Isaac, R. Paul, B. Finkel, M. Moorthy, M. Venkateswaran, S. Bachmann, T. T. Pinnock, H. Norrie, J. Ramalingam, S. Minz, S. Hansdak, S. Blythe, R. Keller, M. Muliyil, J. Weller, D. BMC Infect Dis Research BACKGROUND: There have been over 30 million cases of COVID-19 in India and over 430,000 deaths. Transmission rates vary from region to region, and are influenced by many factors including population susceptibility, travel and uptake of preventive measures. To date there have been relatively few studies examining the impact of the pandemic in lower income, rural regions of India. We report on a study examining COVID-19 burden in a rural community in Tamil Nadu. METHODS: The study was undertaken in a population of approximately 130,000 people, served by the Rural Unit of Health and Social Affairs (RUHSA), a community health center of CMC, Vellore. We established and evaluated a COVID-19 PCR-testing programme for symptomatic patients—testing was offered to 350 individuals, and household members of test-positive cases were offered antibody testing. We also undertook two COVID-19 seroprevalence surveys in the same community, amongst 701 randomly-selected individuals. RESULTS: There were 182 positive tests in the symptomatic population (52.0%). Factors associated with test-positivity were older age, male gender, higher socioeconomic status (SES, as determined by occupation, education and housing), a history of diabetes, contact with a confirmed/suspected case and attending a gathering (such as a religious ceremony, festival or extended family gathering). Amongst test-positive cases, 3 (1.6%) died and 16 (8.8%) suffered a severe illness. Amongst 129 household contacts 40 (31.0%) tested positive. The two seroprevalence surveys showed positivity rates of 2.2% (July/Aug 2020) and 22.0% (Nov 2020). 40 tested positive (31.0%, 95% CI: 23.02 − 38.98). Our estimated infection-to-case ratio was 31.7. CONCLUSIONS: A simple approach using community health workers and a community-based testing clinic can readily identify significant numbers of COVID-19 infections in Indian rural population. There appear, however, to be low rates of death and severe illness, although vulnerable groups may be under-represented in our sample. It’s vital these lower income, rural populations aren’t overlooked in ongoing pandemic monitoring and vaccine roll-out in India. BioMed Central 2021-10-28 /pmc/articles/PMC8552615/ /pubmed/34711193 http://dx.doi.org/10.1186/s12879-021-06787-0 Text en © The Author(s) 2021 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
Isaac, R.
Paul, B.
Finkel, M.
Moorthy, M.
Venkateswaran, S.
Bachmann, T. T.
Pinnock, H.
Norrie, J.
Ramalingam, S.
Minz, S.
Hansdak, S.
Blythe, R.
Keller, M.
Muliyil, J.
Weller, D.
The burden of COVID-19 infection in a rural Tamil Nadu community
title The burden of COVID-19 infection in a rural Tamil Nadu community
title_full The burden of COVID-19 infection in a rural Tamil Nadu community
title_fullStr The burden of COVID-19 infection in a rural Tamil Nadu community
title_full_unstemmed The burden of COVID-19 infection in a rural Tamil Nadu community
title_short The burden of COVID-19 infection in a rural Tamil Nadu community
title_sort burden of covid-19 infection in a rural tamil nadu community
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552615/
https://www.ncbi.nlm.nih.gov/pubmed/34711193
http://dx.doi.org/10.1186/s12879-021-06787-0
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