India Covid-19 Corona virus data

by theDataTalks . 02 Apr 2020

Data Source: https://www.who.int/
Date downloaded: 05-Apr-2020

Situation report 1 (21-Jan-2020) to 74 (04-Apr-2020)

First death due to Covid-19 was reported on 53rd day.

India total cases as on date: 2301 (World-1051635 & China-82802)
India total deaths as on date: 56 (World-56985 & China-3331)
India daily average new cases: 35 (World-13863 & China-950)
India daily average new deaths: 1 (World-756 & China-40)
Average Exponential Growth constant ‘k’ for total cases: 0.06/day (World-0.18/day & China 0.17/day)
Average Exponential Growth constant ‘k’ for total deaths: 0.0047/day (World-0.04/day & China 0.04/day)

The below chart has

  • x-axis - Report number (OR) Day number (Report number 1 starts on
    21-Jan-2020)
  • y-axis - Cumulative total death & total cases as of reported date

The below graph clearly shows that the Covid-19 spread is exponential.

The below chart has

  • x-axis - Report number (OR) Day number (Report number 1 starts on
    21-Jan-2020)
  • y-axis - Daily reported new deaths & cases

The below graph clearly shows that the Covid-19 daily new spread
was initially stable and floating around a constant value. Now it is increasing exponentially.

The below chart has

  • x-axis - Report number (OR) Day number (Report number 1 starts on
    21-Jan-2020)
  • y-axis - Growth constant (K) for cases / deaths

Growth constant is calculated from the below general growth/decaying
formula

A=Pekt

Initially the growth constant for cases was decaying and later it is
growing faster now.
Initially the growth constant for deaths was negligble and started
increasing now.

The summary of growth constant k for total cases

Min. 1st Qu. Median Mean 3rd Qu. Max.
0.00000 0.03754 0.07086 0.06279 0.08600 0.10321

The summary of growth constant k for total deaths

Min. 1st Qu. Median Mean 3rd Qu. Max.
0.000000 0.000000 0.000000 0.004681 0.000000 0.035187


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