India against COVID19
| Status | Cumulative |
|---|---|
Crowd Sourced Data: https://www.covid19india.org/
Official Data: Ministry of Health and Family Welfare Data hosted on this repository https://github.com/Impactech/covid19_india_data
World Data: Repository hosted by Johns Hopkins CSSE https://github.com/CSSEGISandData/COVID-19
Last update at 2020-05-04 07:06:56
Different cross sections of COVID19 data
Pan India
Daily growth rate
The solid lines are smoothed conditional means, which indicated the overall trend. The dots and the soft lines represent actual data.
Growth rate is calculated as:
\[G_{current} = (Total_{previous}- Total_{current})/Total_{previous}\]
Daily Growth rate of COVID19 cases in India
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaGrowthRate_v2.R
Cumulative
Total number of COVID19 cases in India by Date
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaCumulativeCases_v2.R
Statewise
Statewise Growth Rate of the worst affected states
The following plot is the Smoothed conditional mean of the cumulative daily growth rate. The actual data is noisy. Smoothed mean gives a better picture of the overall trend.
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaGrowthRateStatewise.R
Data: Ministry of Health and Family Welfare
State wise split of cumulative number of cases as per last update.
Statewise Split
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaStateWise.R
Statewise growth in cumulative number of cases.
Statewise Split
Data: Crowd sourced
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaTimeseries_v3.R
Animation
Statewise progression of the cumulative number of cases against the number of days since first report
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaTimeseries_v2.R
Yesterday
Cases reported since yesterday (including today)
Data: Crowd sourced
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaYesterday.R
Weekly
Since the daily growth rate can be noisy, it may be helpful to see the weekly mean of daily growth rate to identify the tapering.
The Weekly mean of daily growth rate is calculated as follows:
\[ G_{WeeklyMean} = NewCases_{CurrentWeek}*100/(Sunday_{Previous} - Sunday_{Latest})*Cumulative_{PreviousWeek} \]
Agewise
Agewise split of cases in India
Data available for 3858 cases
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaAgewise.R
World