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World Statistics

October 27, 2020 (08:19 GMT+1)

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Case fatality rate

Active rate

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cases1M

6,032.8

deaths1M

160.83

active1M

1,821.46

recov1M

4,050.52

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1.14%

0.49%

3.7%

7.65%

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43 High risk Countries

23 Low risk Countries

32 Intermediate Countries

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27 Safe Countries

51 Very safe Countries

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Cumulative cases

Daily

Weekly

Monthly

Rates

Distribution (Weekly)

Distribution (Monthly)

Weekly Growth rate

Moving 7-day average (Smoothed)

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Yesterday

Previous 7 days

Since July 1st

COVID-19 Toll

Stats 1M pop

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Classification

Case fatality rate

Active rate

Total cases

Total deaths

Cases by 1M population

Deaths by 1M population

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COVID-19 Classification

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COVID-19 Classification

34.4%, Low risk

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COVID-19 Safeness Score (30d)

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Continent

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Africa

Asia

Europe

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North America

South America

Oceania

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Region

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East Asia & Pacific

Europe & Central Asia

South Asia

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Middle East & North Africa

Sub-Saharan Africa

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Latin America & Caribbean

North America

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EU/USA

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United States

European Union

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Income

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High income

Upper middle income

Lower middle income

Lower income

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Description

This website contains more than 200 Dashboards describing the COVID-19 situation in

I display statistics and time series visualizations of the confirmed cases, deaths, recovered, and active cases. I estimate these statistics by 1 Million of the population. I provide an estimation of the case fatality rate, and the current rate.

In each dashboard, I estimate the reproduction number. This number estimates how many secondary infections are likely to occur in a specific area. When the reproduction number is greater than 1, we should expect more cases in that area. When it’s lower than 1.0, it means that we should expect fewer. I had used the algorithm implemented in the EpiEstim package. This algorithm is developed by Cori et al. 2003. I consider the parametric method described by Zwanhei et al. 2020, and based on estimating the distribution of serial intervals for 468 confirmed cases of the COVID-19 disease. The mean interval was 3.96 days, and SD 4.75 days.

Finally, I suggest a country COVID-19 classification based on six criteria. This classification helps to have an overall summary about the COVID-19 outbreak in the countries and the states.

Data

The data used in this website is mostly compiled from the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).

I use also two R packages: COVID-19 and nCov19 to validate the data.

Author

I’m Dhafer Malouche a Professor of Statistics at the Ecole Supérieure de la Statistique et de l’Analyse de l’Information of the University of Carthage in Tunisia.

If you have questions or comments, I’d love to hear from you. So feel free to reach out. You can also email at: dhafer.malouche@essai.u-carthage.tn

ORCID ID

ORCID iD iconhttps://orcid.org/0000-0002-0494-7141

Citation

Dhafer Malouche, Covid19data.website, August 2020, DOI: 10.1101/2020.08.14.20174995

@preprint{
  title = {Covid19data.website},
  year = {2020},
  doi = {10.1101/2020.08.14.20174995},
  author = {Dhafer Malouche},
}