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Coronavirus in Egypt

Affected Population

< 0.001 %

This is the part of confirmed infection cases against the total 100 million of its population.

Affected 1 of every 174,285
Failed to recover 1 of every 2,788,558

Recovery Pie

The whole pie reflects the total number of confirmed cases of people infected by coronavirus in Egypt.

Raw Numbers on March 28th, 2020

576confirmed

121recovered

36failed

419active

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Egypt and confirmed to be infected. It includes three parts: those who could or could not recover and those who are currently in the active phase of the disease.

New Confirmed Cases

This graph shows the number of new cases by day. The lightblue bars are the number of the new total confirmed cases appeared that day.

Daily Speed

This graph shows the speed of growth (in %) over time in Egypt. The main three parameters are the number of confirmed cases, the number of recoveries and failures. The orange line is the speed of changing of the number of active cases (i.e., of those, who are still ill).

Note. When the speed is positive, the number of cases grows every day. The line going down means that the speed decreases, and while there may be more cases the next day, the disease spread is slowing down. If the speed goes below zero, that means that less cases registered today than yesterday.

Raw Daily Numbers

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Failed
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
1 confirmed
per every
1 failed
per every
Mar 28th 576 7.5 % 121 36 419 21.0 % 6.3 % < 0.001 % 174,285 2,788,558
Mar 27th 536 8.3 % 116 30 390 21.6 % 5.6 % < 0.001 % 187,291 3,346,270
Mar 26th 495 8.6 % 102 24 369 20.6 % 4.8 % < 0.001 % 202,804 4,182,838
Mar 25th 456 13.4 % 95 21 340 20.8 % 4.6 % < 0.001 % 220,149 4,780,386
Mar 24th 402 9.8 % 80 20 302 19.9 % 5.0 % < 0.001 % 249,722 5,019,405
Mar 23th 366 11.9 % 68 19 279 18.6 % 5.2 % < 0.001 % 274,284 5,283,584
Mar 22nd 327 11.2 % 56 14 257 17.1 % 4.3 % < 0.001 % 306,997 7,170,579
Mar 21st 294 3.2 % 41 10 243 13.9 % 3.4 % < 0.001 % 341,456 10,038,810
Mar 20th 285 11.3 % 39 8 238 13.7 % 2.8 % < 0.001 % 352,239 12,548,513
Mar 19th 256 30.6 % 32 6 218 12.5 % 2.3 % < 0.001 % 392,141 16,731,350
Mar 18th 196 0.0 % 32 6 158 16.3 % 3.1 % < 0.001 % 512,184 16,731,350
Mar 17th 196 30.7 % 32 4 160 16.3 % 2.0 % < 0.001 % 512,184 25,097,025
Mar 16th 150 36.4 % 27 2 121 18.0 % 1.3 % < 0.001 % 669,254 50,194,050
Mar 15th 110 0.9 % 21 2 87 19.1 % 1.8 % < 0.001 % 912,619 50,194,050
Mar 14th 109 36.3 % 27 2 80 24.8 % 1.8 % < 0.001 % 920,992 50,194,050
Mar 13th 80 19.4 % 27 2 51 33.8 % 2.5 % < 0.001 % 1,254,851 50,194,050
Mar 12th 67 11.7 % 27 1 39 40.3 % 1.5 % < 0.001 % 1,498,330 100,388,100
Mar 11th 60 1.7 % 27 1 32 45.0 % 1.7 % < 0.001 % 1,673,135 100,388,100
Mar 10th 59 7.3 % 1 1 57 1.7 % 1.7 % < 0.001 % 1,701,493 100,388,100
Mar 9th 55 12.2 % 12 1 42 21.8 % 1.8 % < 0.001 % 1,825,238 100,388,100
Mar 8th 49 226.7 % 1 1 47 2.0 % 2.0 % < 0.001 % 2,048,737 100,388,100
Mar 7th 15 0.0 % 1 0 14 6.7 % 0.0 % < 0.001 % 6,692,540
Mar 6th 15 400.0 % 1 0 14 6.7 % 0.0 % < 0.001 % 6,692,540
Mar 5th 3 50.0 % 1 0 2 33.3 % 0.0 % < 0.001 % 33,462,700
Mar 4th 2 0.0 % 1 0 1 50.0 % 0.0 % < 0.001 % 50,194,050
Mar 3rd 2 0.0 % 1 0 1 50.0 % 0.0 % < 0.001 % 50,194,050
Mar 2nd 2 0.0 % 1 0 1 50.0 % 0.0 % < 0.001 % 50,194,050
Mar 1st 2 100.0 % 1 0 1 50.0 % 0.0 % < 0.001 % 50,194,050
Feb 29th 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 100,388,100
Feb 28th 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 100,388,100
Feb 27th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 26th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 25th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 24th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 23th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 22nd 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 21st 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 20th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 19th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 18th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 17th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 16th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 15th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100
Feb 14th 1 0 0 1 0.0 % 0.0 % < 0.001 % 100,388,100

Statistics per Continent

Spread over the continents timeline

Whole world

Africa

Asia

Europe

North America

Oceania

South America

Statistics per Country

The whole world

World excluding China

More statistics on countries

Countries vs China

Whole world

Afghanistan

Albania

Algeria

Andorra

Angola

Anguilla

Antigua and Barbuda

Argentina

Armenia

Aruba

Australia

Austria

Azerbaijan

Bahamas

Bahrain

Bangladesh

Barbados

Belarus

Belgium

Belize

Benin

Bermuda

Bhutan

Bolivia

Bosnia and Herzegovina

Brazil

British Virgin Islands

Brunei Darussalam

Bulgaria

Burkina Faso

Cabo Verde

Cambodia

Cameroon

Canada

Cayman Islands

Central African Republic

Chad

Chile

China

Colombia

Congo

Costa Rica

Croatia

Cuba

Curaçao

Cyprus

Czechia

Dem. Rep. of the Congo

Denmark

Djibouti

Dominica

Dominican Republic

Ecuador

Egypt

El Salvador

Equatorial Guinea

Eritrea

Estonia

Eswatini

Ethiopia

Faroe Islands

Fiji

Finland

France

French Guiana

French Polynesia

Gabon

Gambia

Georgia

Germany

Ghana

Gibraltar

Greece

Greenland

Grenada

Guadeloupe

Guam

Guatemala

Guinea

Guinea-Bissau

Guyana

Haiti

Holy See

Honduras

Hungary

Iceland

India

Indonesia

Iran

Iraq

Ireland

Isle of Man

Israel

Italy

Jamaica

Japan

Jordan

Kazakhstan

Kenya

Kosovo

Kuwait

Kyrgyzstan

Lao People's Dem. Rep.

Latvia

Lebanon

Liberia

Libya

Liechtenstein

Lithuania

Luxembourg

Madagascar

Malaysia

Maldives

Mali

Malta

Martinique

Mauritania

Mauritius

Mayotte

Mexico

Moldova

Monaco

Mongolia

Montenegro

Montserrat

Morocco

Mozambique

Myanmar

Namibia

Nepal

Netherlands

New Caledonia

New Zealand

Nicaragua

Niger

Nigeria

North Macedonia

Norway

Oman

Pakistan

Panama

Papua New Guinea

Paraguay

Peru

Philippines

Poland

Portugal

Puerto Rico

Qatar

Réunion

Romania

Russian Federation

Rwanda

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

San Marino

Saudi Arabia

Senegal

Serbia

Seychelles

Singapore

Sint Maarten

Slovakia

Slovenia

Somalia

South Africa

South Korea

Spain

Sri Lanka

State of Palestine

Sudan

Suriname

Sweden

Switzerland

Syrian Arab Republic

Taiwan

Tanzania

Thailand

Timor-Leste

Togo

Trinidad and Tobago

Tunisia

Turkey

Turks and Caicos Islands

Uganda

Ukraine

United Arab Emirates

United Kingdom

United States of America

Uruguay

Uzbekistan

Venezuela

Viet Nam

Zambia

Zimbabwe

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Based on data collected by the Johns Hopkins University Center for Systems Science and Engineering.

This website presents the very same data as the JHU’s original dashboard but from a less-panic perspective. Updated daily around 8 a.m. European time.

Read the Technology blog. Look at the source code: GitHub. Powered by Raku.

Created by Andrew Shitov. Twitter: @andrewshitov. Contact by e-mail.