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Drawing inference from nationwide lockdown as a response towards novel Cornavirus-19 (CoVID-19) epidemic in India
BACKGROUND: Lockdown effectively can only result in relative freezing of populations that is expected to slow down the disease spread rather than zeroing it. Flattening of epidemic curve Current analysis was carried out to observe a pattern in the rise of CoVID-19 cases along with concurrent announc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652191/ https://www.ncbi.nlm.nih.gov/pubmed/33209753 http://dx.doi.org/10.4103/jfmpc.jfmpc_807_20 |
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author | Kumar, Dinesh Raina, Sunil K. Chauhan, Raman Kumar, Parveen Sharma, Sushant |
author_facet | Kumar, Dinesh Raina, Sunil K. Chauhan, Raman Kumar, Parveen Sharma, Sushant |
author_sort | Kumar, Dinesh |
collection | PubMed |
description | BACKGROUND: Lockdown effectively can only result in relative freezing of populations that is expected to slow down the disease spread rather than zeroing it. Flattening of epidemic curve Current analysis was carried out to observe a pattern in the rise of CoVID-19 cases along with concurrent announcements of strategies to control the spread of disease. MATERIAL AND METHODS: Data in from of daily number of cases and issued notifications were studied from the official website of Government of India from 30/01/2020 to 03/05/2020. Qualitative assessment with thematic analysis was carried out for notifications issued by the government. The fit to data on cumulative cases was observed with R(2) and checked for linearity, logarithmic, polynomial, and exponential growth. Daily growth fraction (G(t)) was calculated based on the difference between current and previous number of cases, thereafter daily doubling time (T(d(t))) was estimated. RESULTS: Daily reported cases were entered and cumulative growth of cases observed with a polynomial increasing pattern (third-order) with better fit (R(2): 0.999). Total 108 notifications were issued, and as compared to phase-0 and 1 (87.0%), few (12.9%) notifications were issued in phase-2 of study period. As compared to phase-0 and 1, rising trend of cumulative cases and T(d(t)) was high in phase-2. CONCLUSION: Across phases of lockdown along with a rising trend of COVID-19 cases, the country has managed to increase the doubling time of cases with an effort to flatten the epidemic curve. |
format | Online Article Text |
id | pubmed-7652191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-76521912020-11-17 Drawing inference from nationwide lockdown as a response towards novel Cornavirus-19 (CoVID-19) epidemic in India Kumar, Dinesh Raina, Sunil K. Chauhan, Raman Kumar, Parveen Sharma, Sushant J Family Med Prim Care Invited Article BACKGROUND: Lockdown effectively can only result in relative freezing of populations that is expected to slow down the disease spread rather than zeroing it. Flattening of epidemic curve Current analysis was carried out to observe a pattern in the rise of CoVID-19 cases along with concurrent announcements of strategies to control the spread of disease. MATERIAL AND METHODS: Data in from of daily number of cases and issued notifications were studied from the official website of Government of India from 30/01/2020 to 03/05/2020. Qualitative assessment with thematic analysis was carried out for notifications issued by the government. The fit to data on cumulative cases was observed with R(2) and checked for linearity, logarithmic, polynomial, and exponential growth. Daily growth fraction (G(t)) was calculated based on the difference between current and previous number of cases, thereafter daily doubling time (T(d(t))) was estimated. RESULTS: Daily reported cases were entered and cumulative growth of cases observed with a polynomial increasing pattern (third-order) with better fit (R(2): 0.999). Total 108 notifications were issued, and as compared to phase-0 and 1 (87.0%), few (12.9%) notifications were issued in phase-2 of study period. As compared to phase-0 and 1, rising trend of cumulative cases and T(d(t)) was high in phase-2. CONCLUSION: Across phases of lockdown along with a rising trend of COVID-19 cases, the country has managed to increase the doubling time of cases with an effort to flatten the epidemic curve. Wolters Kluwer - Medknow 2020-09-30 /pmc/articles/PMC7652191/ /pubmed/33209753 http://dx.doi.org/10.4103/jfmpc.jfmpc_807_20 Text en Copyright: © 2020 Journal of Family Medicine and Primary Care http://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 | Invited Article Kumar, Dinesh Raina, Sunil K. Chauhan, Raman Kumar, Parveen Sharma, Sushant Drawing inference from nationwide lockdown as a response towards novel Cornavirus-19 (CoVID-19) epidemic in India |
title | Drawing inference from nationwide lockdown as a response towards novel Cornavirus-19 (CoVID-19) epidemic in India |
title_full | Drawing inference from nationwide lockdown as a response towards novel Cornavirus-19 (CoVID-19) epidemic in India |
title_fullStr | Drawing inference from nationwide lockdown as a response towards novel Cornavirus-19 (CoVID-19) epidemic in India |
title_full_unstemmed | Drawing inference from nationwide lockdown as a response towards novel Cornavirus-19 (CoVID-19) epidemic in India |
title_short | Drawing inference from nationwide lockdown as a response towards novel Cornavirus-19 (CoVID-19) epidemic in India |
title_sort | drawing inference from nationwide lockdown as a response towards novel cornavirus-19 (covid-19) epidemic in india |
topic | Invited Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652191/ https://www.ncbi.nlm.nih.gov/pubmed/33209753 http://dx.doi.org/10.4103/jfmpc.jfmpc_807_20 |
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