Unknown : The patients who have been listed in the Media Bulletins as "Contact Under Tracing"and their contacts.From Middle East : The patients with travel to the Middle East and their contacts.From the rest of Europe : The patients with travel history to Europe but not to UK and their contacts.From United Kingdom : The patients with travel history to UK and their contacts.From USA : The patients who had travel history to USA and their contacts.This effort has been inspired in part by Aatish Bhatia and Minute Physics's website where they study COVID-19 trends worldwide. In this page we plot various states and observe that when the exponential growth is arrested then the respective plots will veer off the straight line. This graph can be used to understand if the infection growth has deviated from the exponential phase. On log-scale, we plot on each day the net increase from three days before that day to three days after that day versus the total number of infections up to that day. We use a notion similar to moving average of net increase over a symmetric 7-day window. Determining when a state/country falls off Exponential Growth.For worldwide study of doubling times, we refer the reader to Deepayan Sarkar's website on github.Ī detailed explanation of the method and inferences with respect to the lockdown can be found in this expository note. In this page we analyse doubling times for all of India and for each state. Doubling time is the time it takes for the number of infections to double from a given day. This phase of exponential growth can be characterised by the doubling time. Mathematical models used to characterize early epidemic growth feature an exponential curve.
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