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Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection

BACKGROUND: India has experienced the second largest outbreak of COVID-19 globally, yet there is a paucity of studies analysing contact tracing data in the region which can optimise public health interventions (PHI’s). METHODS: We analysed contact tracing data from Karnataka, India between 9 March a...

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Autores principales: Gupta, Mohak, Parameswaran, Giridara G., Sra, Manraj S., Mohanta, Rishika, Patel, Devarsh, Gupta, Amulya, Bansal, Bhavik, Jain, Vardhmaan, Mazumder, Archisman, Arora, Mehak, Aggarwal, Nishant, Bhatnagar, Tarun, Akhtar, Jawaid, Pandey, Pankaj, Ravi, Vasanthapuram, Babu, Giridhara R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273085/
https://www.ncbi.nlm.nih.gov/pubmed/35816497
http://dx.doi.org/10.1371/journal.pone.0270789
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author Gupta, Mohak
Parameswaran, Giridara G.
Sra, Manraj S.
Mohanta, Rishika
Patel, Devarsh
Gupta, Amulya
Bansal, Bhavik
Jain, Vardhmaan
Mazumder, Archisman
Arora, Mehak
Aggarwal, Nishant
Bhatnagar, Tarun
Akhtar, Jawaid
Pandey, Pankaj
Ravi, Vasanthapuram
Babu, Giridhara R.
author_facet Gupta, Mohak
Parameswaran, Giridara G.
Sra, Manraj S.
Mohanta, Rishika
Patel, Devarsh
Gupta, Amulya
Bansal, Bhavik
Jain, Vardhmaan
Mazumder, Archisman
Arora, Mehak
Aggarwal, Nishant
Bhatnagar, Tarun
Akhtar, Jawaid
Pandey, Pankaj
Ravi, Vasanthapuram
Babu, Giridhara R.
author_sort Gupta, Mohak
collection PubMed
description BACKGROUND: India has experienced the second largest outbreak of COVID-19 globally, yet there is a paucity of studies analysing contact tracing data in the region which can optimise public health interventions (PHI’s). METHODS: We analysed contact tracing data from Karnataka, India between 9 March and 21 July 2020. We estimated metrics of transmission including the reproduction number (R), overdispersion (k), secondary attack rate (SAR), and serial interval. R and k were jointly estimated using a Bayesian Markov Chain Monte Carlo approach. We studied determinants of risk of further transmission and risk of being symptomatic using Poisson regression models. FINDINGS: Up to 21 July 2020, we found 111 index cases that crossed the super-spreading threshold of ≥8 secondary cases. Among 956 confirmed traced cases, 8.7% of index cases had 14.4% of contacts but caused 80% of all secondary cases. Among 16715 contacts, overall SAR was 3.6% [95% CI, 3.4–3.9] and symptomatic cases were more infectious than asymptomatic cases (SAR 7.7% vs 2.0%; aRR 3.63 [3.04–4.34]). As compared to infectors aged 19–44 years, children were less infectious (aRR 0.21 [0.07–0.66] for 0–5 years and 0.47 [0.32–0.68] for 6–18 years). Infectors who were confirmed ≥4 days after symptom onset were associated with higher infectiousness (aRR 3.01 [2.11–4.31]). As compared to asymptomatic cases, symptomatic cases were 8.16 [3.29–20.24] times more likely to cause symptomatic infection in their secondary cases. Serial interval had a mean of 5.4 [4.4–6.4] days, and case fatality rate was 2.5% [2.4–2.7] which increased with age. CONCLUSION: We found significant heterogeneity in the individual-level transmissibility of SARS-CoV-2 which could not be explained by the degree of heterogeneity in the underlying number of contacts. To strengthen contact tracing in over-dispersed outbreaks, testing and tracing delays should be minimised and retrospective contact tracing should be implemented. Targeted measures to reduce potential superspreading events should be implemented. Interventions aimed at children might have a relatively small impact on reducing transmission owing to their low symptomaticity and infectivity. We propose that symptomatic cases could cause a snowballing effect on clinical severity and infectiousness across transmission generations; further studies are needed to confirm this finding.
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spelling pubmed-92730852022-07-12 Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection Gupta, Mohak Parameswaran, Giridara G. Sra, Manraj S. Mohanta, Rishika Patel, Devarsh Gupta, Amulya Bansal, Bhavik Jain, Vardhmaan Mazumder, Archisman Arora, Mehak Aggarwal, Nishant Bhatnagar, Tarun Akhtar, Jawaid Pandey, Pankaj Ravi, Vasanthapuram Babu, Giridhara R. PLoS One Research Article BACKGROUND: India has experienced the second largest outbreak of COVID-19 globally, yet there is a paucity of studies analysing contact tracing data in the region which can optimise public health interventions (PHI’s). METHODS: We analysed contact tracing data from Karnataka, India between 9 March and 21 July 2020. We estimated metrics of transmission including the reproduction number (R), overdispersion (k), secondary attack rate (SAR), and serial interval. R and k were jointly estimated using a Bayesian Markov Chain Monte Carlo approach. We studied determinants of risk of further transmission and risk of being symptomatic using Poisson regression models. FINDINGS: Up to 21 July 2020, we found 111 index cases that crossed the super-spreading threshold of ≥8 secondary cases. Among 956 confirmed traced cases, 8.7% of index cases had 14.4% of contacts but caused 80% of all secondary cases. Among 16715 contacts, overall SAR was 3.6% [95% CI, 3.4–3.9] and symptomatic cases were more infectious than asymptomatic cases (SAR 7.7% vs 2.0%; aRR 3.63 [3.04–4.34]). As compared to infectors aged 19–44 years, children were less infectious (aRR 0.21 [0.07–0.66] for 0–5 years and 0.47 [0.32–0.68] for 6–18 years). Infectors who were confirmed ≥4 days after symptom onset were associated with higher infectiousness (aRR 3.01 [2.11–4.31]). As compared to asymptomatic cases, symptomatic cases were 8.16 [3.29–20.24] times more likely to cause symptomatic infection in their secondary cases. Serial interval had a mean of 5.4 [4.4–6.4] days, and case fatality rate was 2.5% [2.4–2.7] which increased with age. CONCLUSION: We found significant heterogeneity in the individual-level transmissibility of SARS-CoV-2 which could not be explained by the degree of heterogeneity in the underlying number of contacts. To strengthen contact tracing in over-dispersed outbreaks, testing and tracing delays should be minimised and retrospective contact tracing should be implemented. Targeted measures to reduce potential superspreading events should be implemented. Interventions aimed at children might have a relatively small impact on reducing transmission owing to their low symptomaticity and infectivity. We propose that symptomatic cases could cause a snowballing effect on clinical severity and infectiousness across transmission generations; further studies are needed to confirm this finding. Public Library of Science 2022-07-11 /pmc/articles/PMC9273085/ /pubmed/35816497 http://dx.doi.org/10.1371/journal.pone.0270789 Text en © 2022 Gupta et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gupta, Mohak
Parameswaran, Giridara G.
Sra, Manraj S.
Mohanta, Rishika
Patel, Devarsh
Gupta, Amulya
Bansal, Bhavik
Jain, Vardhmaan
Mazumder, Archisman
Arora, Mehak
Aggarwal, Nishant
Bhatnagar, Tarun
Akhtar, Jawaid
Pandey, Pankaj
Ravi, Vasanthapuram
Babu, Giridhara R.
Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection
title Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection
title_full Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection
title_fullStr Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection
title_full_unstemmed Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection
title_short Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection
title_sort contact tracing of covid-19 in karnataka, india: superspreading and determinants of infectiousness and symptomatic infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273085/
https://www.ncbi.nlm.nih.gov/pubmed/35816497
http://dx.doi.org/10.1371/journal.pone.0270789
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