Version 1
: Received: 3 April 2020 / Approved: 6 April 2020 / Online: 6 April 2020 (07:25:12 CEST)
How to cite:
Chakravarty, P. A Simple Method for Detecting Early Signal in Nature of Progression of Covid-19 in Indian Population. Preprints2020, 2020040041. https://doi.org/10.20944/preprints202004.0041.v1
Chakravarty, P. A Simple Method for Detecting Early Signal in Nature of Progression of Covid-19 in Indian Population. Preprints 2020, 2020040041. https://doi.org/10.20944/preprints202004.0041.v1
Chakravarty, P. A Simple Method for Detecting Early Signal in Nature of Progression of Covid-19 in Indian Population. Preprints2020, 2020040041. https://doi.org/10.20944/preprints202004.0041.v1
APA Style
Chakravarty, P. (2020). A Simple Method for Detecting Early Signal in Nature of Progression of Covid-19 in Indian Population. Preprints. https://doi.org/10.20944/preprints202004.0041.v1
Chicago/Turabian Style
Chakravarty, P. 2020 "A Simple Method for Detecting Early Signal in Nature of Progression of Covid-19 in Indian Population" Preprints. https://doi.org/10.20944/preprints202004.0041.v1
Abstract
COVID-19 (SARS-Cov-2) is spreading around the globe in a highly contagious manner. China has shown the way to halt the progression of the disease by totally sealing Wuhan from rest of china but they could not prevent community spread resulting in more than 4000 deaths in a short period of time. India, following example of china, ordered national Lockdown early on 23 March, 2020. But it is difficult to determine the transition Here we have changed the way we look at available data to detect an early onset of the effect of Lockdown. Here a simple method is described for the first time to determine at the earliest when a change is beginning to take effect after Lockdown on the progression/regression of the spread of novel COVID-19 virus which could help to frame strategy for intervention to prevent community spread and save lives.
Keywords
COVID; lockdown; progression; community; spread
Subject
Biology and Life Sciences, Virology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
