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Effective Reproduction Number and Dispersion under Contact Tracing and Lockdown on COVID-19 in Karnataka

We study the effectiveness and limitations of contact-tracing, quarantine, and lockdown measures used in India to control the spread of COVID-19 infections. Using data provided in the media bulletins of Government of Karnataka we observe that the so called [Formula: see text] rule holds for secondar...

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Autores principales: Athreya, Siva, Gadhiwala, Nitya, Mishra, Abhiti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475859/
http://dx.doi.org/10.1007/s41096-021-00106-1
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author Athreya, Siva
Gadhiwala, Nitya
Mishra, Abhiti
author_facet Athreya, Siva
Gadhiwala, Nitya
Mishra, Abhiti
author_sort Athreya, Siva
collection PubMed
description We study the effectiveness and limitations of contact-tracing, quarantine, and lockdown measures used in India to control the spread of COVID-19 infections. Using data provided in the media bulletins of Government of Karnataka we observe that the so called [Formula: see text] rule holds for secondary infections and classify them into clusters. Using a mixture of Poisson with Gamma model we establish that clusters show variation in deceased rates ([Formula: see text] ), low reproduction numbers ([Formula: see text] ), small dispersion([Formula: see text] ), and that super-spreading events can occur. Further, migration due to relaxation in lockdown is unlikely to be the sole cause of recent surge. The methodology presented is universal in nature and can be applied whenever such precise data is available.
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spelling pubmed-84758592021-09-28 Effective Reproduction Number and Dispersion under Contact Tracing and Lockdown on COVID-19 in Karnataka Athreya, Siva Gadhiwala, Nitya Mishra, Abhiti J Indian Soc Probab Stat Research Article We study the effectiveness and limitations of contact-tracing, quarantine, and lockdown measures used in India to control the spread of COVID-19 infections. Using data provided in the media bulletins of Government of Karnataka we observe that the so called [Formula: see text] rule holds for secondary infections and classify them into clusters. Using a mixture of Poisson with Gamma model we establish that clusters show variation in deceased rates ([Formula: see text] ), low reproduction numbers ([Formula: see text] ), small dispersion([Formula: see text] ), and that super-spreading events can occur. Further, migration due to relaxation in lockdown is unlikely to be the sole cause of recent surge. The methodology presented is universal in nature and can be applied whenever such precise data is available. Springer India 2021-09-24 2021 /pmc/articles/PMC8475859/ http://dx.doi.org/10.1007/s41096-021-00106-1 Text en © The Indian Society for Probability and Statistics (ISPS) 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Athreya, Siva
Gadhiwala, Nitya
Mishra, Abhiti
Effective Reproduction Number and Dispersion under Contact Tracing and Lockdown on COVID-19 in Karnataka
title Effective Reproduction Number and Dispersion under Contact Tracing and Lockdown on COVID-19 in Karnataka
title_full Effective Reproduction Number and Dispersion under Contact Tracing and Lockdown on COVID-19 in Karnataka
title_fullStr Effective Reproduction Number and Dispersion under Contact Tracing and Lockdown on COVID-19 in Karnataka
title_full_unstemmed Effective Reproduction Number and Dispersion under Contact Tracing and Lockdown on COVID-19 in Karnataka
title_short Effective Reproduction Number and Dispersion under Contact Tracing and Lockdown on COVID-19 in Karnataka
title_sort effective reproduction number and dispersion under contact tracing and lockdown on covid-19 in karnataka
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475859/
http://dx.doi.org/10.1007/s41096-021-00106-1
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