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Household secondary attack rate in SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in South India

BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a major public health problem since its inception disrupting public life and crippling health systems. The mutated variant of the causative virus, Delta, has been notorious in causing rapid upsurge in cases compared to the Alpha variant. The...

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Autores principales: Areekal, Binu, Joseph, Navya C., Rajan, Maneesha P., Ravindran, Reshmy K., Vijayan, Anagha S., Vanlalhriatpuii, Emmanuelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810882/
https://www.ncbi.nlm.nih.gov/pubmed/36618242
http://dx.doi.org/10.4103/jfmpc.jfmpc_452_22
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author Areekal, Binu
Joseph, Navya C.
Rajan, Maneesha P.
Ravindran, Reshmy K.
Vijayan, Anagha S.
Vanlalhriatpuii, Emmanuelle
author_facet Areekal, Binu
Joseph, Navya C.
Rajan, Maneesha P.
Ravindran, Reshmy K.
Vijayan, Anagha S.
Vanlalhriatpuii, Emmanuelle
author_sort Areekal, Binu
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a major public health problem since its inception disrupting public life and crippling health systems. The mutated variant of the causative virus, Delta, has been notorious in causing rapid upsurge in cases compared to the Alpha variant. The current study tries to find out the household secondary attack rate (HSAR) of COVID-19 and factors associated with it during the second wave of cases in Kerala. METHODOLOGY: A retrospective cohort study was performed among 313 household contacts of 76 COVID-19 patients who had been admitted in Government Medical College, Thrissur, in the southern state of India, Kerala. Data from the participants were collected via phone using a semi-structured interview schedule, and analysis was performed with SPSS software. RESULTS: The HSAR among household contacts was 59.1% (53.4–64.6%). The risk of acquiring COVID infection among household contacts was higher among contacts of symptomatic index cases with a P value of 0.001 and an odds ratio of 11 (3.7–32.4). index cases were having a home isolation P value of 0.001 and an odds ratio of 3.2 (2–5.1), with delay in COVID-19 testing for index cases with a P value of 0.006. Regarding characteristics of household contacts, higher age groups (p = 0.048), groups living in the same room with an index case P value of 0.021 and an odds ratio of [1.71 (1-2.8)], groups having physical contact with an index case P value of 0.001 and an odds ratio of [3.7 (2.1-7)], groups with touched or cleaned linen/articles with an index case P value of 0.02 and an odds ratio of [1.8 (1-3.1)], and groups having co-morbidities, especially diabetes mellitus (p = 0.0020), were significantly associated with chances of acquiring infection. However, the history of previous COVID positivity in household contacts was a protective factor against the infection P value of 0.009 with an odds ratio of [0.09 (0.01-0.78)]. CONCLUSION: The study concludes that the second wave of COVID-19 in Kerala was primarily caused by a high SAR, especially among household contacts, and this could have been the reason for the difficulty in control measures during the wave.
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spelling pubmed-98108822023-01-05 Household secondary attack rate in SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in South India Areekal, Binu Joseph, Navya C. Rajan, Maneesha P. Ravindran, Reshmy K. Vijayan, Anagha S. Vanlalhriatpuii, Emmanuelle J Family Med Prim Care Original Article BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a major public health problem since its inception disrupting public life and crippling health systems. The mutated variant of the causative virus, Delta, has been notorious in causing rapid upsurge in cases compared to the Alpha variant. The current study tries to find out the household secondary attack rate (HSAR) of COVID-19 and factors associated with it during the second wave of cases in Kerala. METHODOLOGY: A retrospective cohort study was performed among 313 household contacts of 76 COVID-19 patients who had been admitted in Government Medical College, Thrissur, in the southern state of India, Kerala. Data from the participants were collected via phone using a semi-structured interview schedule, and analysis was performed with SPSS software. RESULTS: The HSAR among household contacts was 59.1% (53.4–64.6%). The risk of acquiring COVID infection among household contacts was higher among contacts of symptomatic index cases with a P value of 0.001 and an odds ratio of 11 (3.7–32.4). index cases were having a home isolation P value of 0.001 and an odds ratio of 3.2 (2–5.1), with delay in COVID-19 testing for index cases with a P value of 0.006. Regarding characteristics of household contacts, higher age groups (p = 0.048), groups living in the same room with an index case P value of 0.021 and an odds ratio of [1.71 (1-2.8)], groups having physical contact with an index case P value of 0.001 and an odds ratio of [3.7 (2.1-7)], groups with touched or cleaned linen/articles with an index case P value of 0.02 and an odds ratio of [1.8 (1-3.1)], and groups having co-morbidities, especially diabetes mellitus (p = 0.0020), were significantly associated with chances of acquiring infection. However, the history of previous COVID positivity in household contacts was a protective factor against the infection P value of 0.009 with an odds ratio of [0.09 (0.01-0.78)]. CONCLUSION: The study concludes that the second wave of COVID-19 in Kerala was primarily caused by a high SAR, especially among household contacts, and this could have been the reason for the difficulty in control measures during the wave. Wolters Kluwer - Medknow 2022-10 2022-10-31 /pmc/articles/PMC9810882/ /pubmed/36618242 http://dx.doi.org/10.4103/jfmpc.jfmpc_452_22 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://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 Original Article
Areekal, Binu
Joseph, Navya C.
Rajan, Maneesha P.
Ravindran, Reshmy K.
Vijayan, Anagha S.
Vanlalhriatpuii, Emmanuelle
Household secondary attack rate in SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in South India
title Household secondary attack rate in SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in South India
title_full Household secondary attack rate in SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in South India
title_fullStr Household secondary attack rate in SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in South India
title_full_unstemmed Household secondary attack rate in SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in South India
title_short Household secondary attack rate in SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in South India
title_sort household secondary attack rate in sars-cov-2 infection during the second wave of the covid-19 pandemic in south india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810882/
https://www.ncbi.nlm.nih.gov/pubmed/36618242
http://dx.doi.org/10.4103/jfmpc.jfmpc_452_22
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