Preprint Concept Paper Version 1 Preserved in Portico This version is not peer-reviewed

COVID-19: Prediction of Vulnerable Areas Having High Risk of Becoming Hotspots and Providing Necessary Statistics during COVID-19 Pandemic

Version 1 : Received: 12 May 2020 / Approved: 18 May 2020 / Online: 18 May 2020 (08:01:52 CEST)

How to cite: Yadav, A. COVID-19: Prediction of Vulnerable Areas Having High Risk of Becoming Hotspots and Providing Necessary Statistics during COVID-19 Pandemic. Preprints 2020, 2020050298 (doi: 10.20944/preprints202005.0298.v1). Yadav, A. COVID-19: Prediction of Vulnerable Areas Having High Risk of Becoming Hotspots and Providing Necessary Statistics during COVID-19 Pandemic. Preprints 2020, 2020050298 (doi: 10.20944/preprints202005.0298.v1).

Abstract

COVID-19 Pandemic management has become the top priority of Government Institutions globally, which is justifiable seeing the high mortality of the disease. In India, Lockdowns by National, State and Local level administrations have greatly reduced the spread of the SARS COV-2 Virus. Some areas with a greater proportion of COVID-19 patients have been declared hotspots with increased restrictions on public activities through law enforcement. But quite often delay in identification of these hotspots leads to community transmission of the Virus thus aggravating the problem. A method to identify the areas which are at risk of becoming the next hotspot for the disease is the need of the hour[1]. In this Research document we will find the probable risk factors and make an appropriate scale to measure the vulnerability of an area, identified by its Postal code. To help with this a Pan India survey by the title of “Survey on General Indian population on the level of preparedness for COVID-19 pandemic” was launched and received around 1250 submissions, with the acquired data we will evaluate the risk factors and make appropriate scale to identify ‘pre-hotspots’.

Supplementary and Associated Material

Subject Areas

Covid 19; coronavirus; pre-hotspots

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