Last Data Point: 2023-3-9 , Updated On: 2025-01-19 12:05:04
* Caution - Page might take a long moment to load: this is a large HTML file (over 20 MiB). The loading progress percentage is at top right corner; it might hover around 99%, please be patient as it will finish. If the progress percentage not shown, just wait for browser to awknowledge the page is done loading.
* Other Plots:
- Click here to see Covid19Plot.py Country Normal Plots .
- Click here to see Covid19Plot.py Country Normal Relative to Population Plots .
- Click here to see Covid19Plot.py Country Log Plots .
- Click here to see Covid19Plot.py Country Log Relative to Population Plots .
- Click here to see USA States Daily & Total Plots (raw normal data with 7 day moving average) .
* How To Use: Scroll down to the country of inquiry via "Quick Navigation" or scroll manually. To get an interactive plot open the "Normal" or "Log" link - which opens the countries plot seperately, the plots are fully interactive when displayed seperately. The different lines / traces can enabled, disabled, all-enabled ,or one-enabled by clicking and double clicking on the legend items. The California county plots are also similarly interactive.
* Source Code & Other Links: available on GitHub and infotinks.com
* Diff Change or Delta is change from previous day ( + is growth; - is reduction )
* Ratio Diff Change or Ratio is % change from previous day ( 1 or higher is growth; 0 to 1 is reduction )
* Note: Each countries covid stats and plots are shown one by one. Countries are sorted by total cases in increasing order, so the country in #1 is the leader in most covid cases to date.
* Note: The very first 'country' to be shown is actually not a country but the world total represented as "TOTAL". It will always have the highest number of cases, as its the sum of all countries, so its takes spot #0 at the very top.
* Note: Peak active case prediction date is calculated using a linear regression fit on "active cases ratio" and examing its past X days values to see when it crosses 1.0.
* An r 2 closer to 1.0 means a better prediction.
* Ignore predictions with past dates.
* Note: Daily new cases moving average has a linear regression fit calculated from previous 30 days and extending same days into the future. This is to help estimate daily new cases trend. Of course, the real trend is not linear, so this is strictly a prediction. The predicted line has its r 2 fit value and y=mx+b equation shown in the legend. x is number of days since x 0 , which is provided in the label. y is predicted daily new cases (technically its the predicted moving average of the daily new cases). Finally, we predict the day we reach 0 daily new cases; also shown on the legend.
* Note: The plotly graphs are interactive. To have better you can click on the "Normal" or "Log" link for each country to see it's own interactive plot.
There you can control control which information is plotted by clicking & double clicking on the items in the legend to isolate or disable that data.
* Note: Active Cases is calculated by subtracting Recovered and Deaths from total Cases.
* Note: The United States, US, recovery numbers are all nullfied to 0 on 2020-12-15 and onward. This was a decision made by the data source. More can be read here: Github Issue and Reasoning .
* World Data Source: The world data is gathered directly from Pomber which generates a parsable json daily. They use the data from CSSEGISandData data to generate that json.
* USA States Source: The US data is gathered directly from NY Times which generates a parsable csv daily.
* California Data Source (CURRENT DATA): The California county data is gathered from data.chhs.ca.gov , they also provide a parseable csv file format.
* California Data Source (DEPRECATED as of March 12, 2021): The California county data is gathered from data.ca.gov , they also provide a parseable csv file format.
* Canada Data Source (CURRENT DATA): The Canada data is gathered directly from COVID-19 Canada Open Data Working Group which generates a parsable cases csv and deaths csv daily.
* Canada Data Source (DEPRECATED as of August 12, 2022): The Canada data is gathered directly from COVID-19 Canada Open Data Working Group which generates a parsable csv daily. Data source was deprecated as it stopped getting updated in May of 2022.
* Note: Antarctica population ranges from 1000 to 5000 based. I used the higher value.
More Plots: Normal | Normal-PerPop | Log | Log-PerPop
Data & plots for country below is adjusted relative to the population per 100K people.
| Data Date: 2023-3-9 | Current | Diff Change w/ last day | Ratio Diff Change w/ last day |
| Cases | 8,816.39496 | 2.31072 | 1.00026 |
| Deaths | 89.67686 | 0.01719 | 1.00019 |
| Recovered | 0.0 | 0.0 | N/A |
| Active Cases | 8,726.7181 | 2.29354 | 1.00026 |
* Last percent recovered from all cases: 0.0%
* Last percent dead from all cases: 1.02%
* Predict 0 New Daily Cases date using 30 day linear regression: 2023-05-15
More Plots: Normal | Normal-PerPop | Log | Log-PerPop
Data & plots for country below is adjusted relative to the population per 100K people.
| Data Date: 2023-3-9 | Current | Diff Change w/ last day | Ratio Diff Change w/ last day |
| Cases | 31,627.87995 | 14.29951 | 1.00045 |
| Deaths | 342.42413 | 0.17977 | 1.00053 |
| Recovered | 0.0 | 0.0 | N/A |
| Active Cases | 31,285.45582 | 14.11974 | 1.00045 |
* Last percent recovered from all cases: 0.0%
* Last percent dead from all cases: 1.08%
* Predict 0 New Daily Cases date using 30 day linear regression: 2023-10-15
More Plots: Normal | Normal-PerPop | Log | Log-PerPop
Data & plots for country below is adjusted relative to the population per 100K people.
| Data Date: 2023-3-9 | Current | Diff Change w/ last day | Ratio Diff Change w/ last day |
| Cases | 3,238.44899 | 0.03188 | 1.00001 |
| Deaths | 38.46212 | 0.00022 | 1.00001 |
| Recovered | 0.0 | 0.0 | N/A |
| Active Cases | 3,199.98686 | 0.03167 | 1.00001 |
* Last percent recovered from all cases: 0.0%
* Last percent dead from all cases: 1.19%
* Predict 0 New Daily Cases date using 30 day linear regression: 2023-02-01