Coronavirus in Comoros

Affected Population

0.047 %

This is the part of confirmed infection cases against the total 851 thousand of its population.

Affected 0.47 per 1000 people
Died 0.0082 per 1000 people

Recovery Pie

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

Raw Numbers on August 9, 2020

399confirmed0

369recovered0

7fatal0

23active0

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Comoros 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 Comoros. The only parameter here is the number of confirmed cases.

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 fewer cases registered today than yesterday.

Cumulative 14-day index

This graph shows the index that some countries use to estimate how safe travelling is. The value is the number of new confirmed cases for the last 14 days per 100,000 of population.

Mortality Level

The gray bars on this graph display the absolute number of deaths that happen in Comoros every month during the recent five years of available data. The red bars are the absolute numbers of people died due to the COVID-19 infection.

Note that the vertical axis is drawn in logarithmic scale by default.

As there is no monthly data available in Comoros, the gray bars are the average numbers obtained via the crude death values known for this country for the recent five years of the available dataset.

Weekly Levels

This graph draws the number of deaths in Comoros connected to the COVID-19 infection aggregated by weeks of 2020.

Crude rates

Crude mortality rate is the number of people died in a country within a year per each 1000 of population.

Here, the crude rate in Comoros is shown for the last 50 years. The red bar against 2020 is the number of people died due to COVID-19 per each 1000 people. Thus, you can directly compare the two parameters.

Note that the vertical axis is drawn in logarithmic scale by default.

Per capita values

Here, the number of confirmations and deaths per 1000 of population in Comoros is shown. These numbers is a better choice when comparing different countries than absolute numbers.

Raw Daily Numbers

Download as CSV | XLS

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Fatal
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
Confirmed
per 1000
Died
per 1000
Aug 9 399 0.0 % 369 7 23 92.5 % 1.8 % 0.047 % 0.47 0.0082
Aug 8 399 0.8 % 369 7 23 92.5 % 1.8 % 0.047 % 0.47 0.0082
Aug 7 396 0.0 % 353 7 36 89.1 % 1.8 % 0.047 % 0.47 0.0082
Aug 6 396 2.1 % 340 7 49 85.9 % 1.8 % 0.047 % 0.47 0.0082
Aug 5 388 0.0 % 340 7 41 87.6 % 1.8 % 0.046 % 0.46 0.0082
Aug 4 388 0.5 % 340 7 41 87.6 % 1.8 % 0.046 % 0.46 0.0082
Aug 3 386 0.0 % 330 7 49 85.5 % 1.8 % 0.045 % 0.45 0.0082
Aug 2 386 0.0 % 330 7 49 85.5 % 1.8 % 0.045 % 0.45 0.0082
Aug 1 386 2.1 % 330 7 49 85.5 % 1.8 % 0.045 % 0.45 0.0082
Jul 31 378 0.0 % 330 7 41 87.3 % 1.9 % 0.044 % 0.44 0.0082
Jul 30 378 0.0 % 330 7 41 87.3 % 1.9 % 0.044 % 0.44 0.0082
Jul 29 378 6.8 % 330 7 41 87.3 % 1.9 % 0.044 % 0.44 0.0082
Jul 28 354 0.0 % 328 7 19 92.7 % 2.0 % 0.042 % 0.42 0.0082
Jul 27 354 0.0 % 328 7 19 92.7 % 2.0 % 0.042 % 0.42 0.0082
Jul 26 354 4.1 % 328 7 19 92.7 % 2.0 % 0.042 % 0.42 0.0082
Jul 25 340 0.0 % 324 7 9 95.3 % 2.1 % 0.04 % 0.40 0.0082
Jul 24 340 0.0 % 324 7 9 95.3 % 2.1 % 0.04 % 0.40 0.0082
Jul 23 340 0.9 % 324 7 9 95.3 % 2.1 % 0.04 % 0.40 0.0082
Jul 22 337 0.0 % 319 7 11 94.7 % 2.1 % 0.04 % 0.40 0.0082
Jul 21 337 0.9 % 319 7 11 94.7 % 2.1 % 0.04 % 0.40 0.0082
Jul 20 334 0.0 % 313 7 14 93.7 % 2.1 % 0.039 % 0.39 0.0082
Jul 19 334 1.8 % 313 7 14 93.7 % 2.1 % 0.039 % 0.39 0.0082
Jul 18 328 0.0 % 311 7 10 94.8 % 2.1 % 0.039 % 0.39 0.0082
Jul 17 328 0.0 % 311 7 10 94.8 % 2.1 % 0.039 % 0.39 0.0082
Jul 16 328 2.2 % 311 7 10 94.8 % 2.1 % 0.039 % 0.39 0.0082
Jul 15 321 0.0 % 302 7 12 94.1 % 2.2 % 0.038 % 0.38 0.0082
Jul 14 321 1.3 % 302 7 12 94.1 % 2.2 % 0.038 % 0.38 0.0082
Jul 13 317 0.0 % 296 7 14 93.4 % 2.2 % 0.037 % 0.37 0.0082
Jul 12 317 0.0 % 296 7 14 93.4 % 2.2 % 0.037 % 0.37 0.0082
Jul 11 317 1.0 % 296 7 14 93.4 % 2.2 % 0.037 % 0.37 0.0082
Jul 10 314 0.0 % 272 7 35 86.6 % 2.2 % 0.037 % 0.37 0.0082
Jul 9 314 0.3 % 272 7 35 86.6 % 2.2 % 0.037 % 0.37 0.0082
Jul 8 313 0.6 % 272 7 34 86.9 % 2.2 % 0.037 % 0.37 0.0082
Jul 7 311 0.0 % 266 7 38 85.5 % 2.3 % 0.037 % 0.37 0.0082
Jul 6 311 0.0 % 266 7 38 85.5 % 2.3 % 0.037 % 0.37 0.0082
Jul 5 311 0.6 % 266 7 38 85.5 % 2.3 % 0.037 % 0.37 0.0082
Jul 4 309 0.0 % 241 7 61 78.0 % 2.3 % 0.036 % 0.36 0.0082
Jul 3 309 2.0 % 241 7 61 78.0 % 2.3 % 0.036 % 0.36 0.0082
Jul 2 303 0.0 % 200 7 96 66.0 % 2.3 % 0.036 % 0.36 0.0082
Jul 1 303 0.0 % 200 7 96 66.0 % 2.3 % 0.036 % 0.36 0.0082
Jun 30 303 11.4 % 200 7 96 66.0 % 2.3 % 0.036 % 0.36 0.0082
Jun 29 272 0.0 % 161 7 104 59.2 % 2.6 % 0.032 % 0.32 0.0082
Jun 28 272 0.0 % 161 7 104 59.2 % 2.6 % 0.032 % 0.32 0.0082
Jun 27 272 0.0 % 161 7 104 59.2 % 2.6 % 0.032 % 0.32 0.0082
Jun 26 272 0.0 % 161 7 104 59.2 % 2.6 % 0.032 % 0.32 0.0082
Jun 25 272 2.6 % 161 7 104 59.2 % 2.6 % 0.032 % 0.32 0.0082
Jun 24 265 0.0 % 159 7 99 60.0 % 2.6 % 0.031 % 0.31 0.0082
Jun 23 265 7.3 % 159 7 99 60.0 % 2.6 % 0.031 % 0.31 0.0082
Jun 22 247 0.0 % 159 5 83 64.4 % 2.0 % 0.029 % 0.29 0.0059
Jun 21 247 0.0 % 159 5 83 64.4 % 2.0 % 0.029 % 0.29 0.0059
Jun 20 247 17.6 % 159 5 83 64.4 % 2.0 % 0.029 % 0.29 0.0059
Jun 19 210 0.0 % 129 5 76 61.4 % 2.4 % 0.025 % 0.25 0.0059
Jun 18 210 6.6 % 129 5 76 61.4 % 2.4 % 0.025 % 0.25 0.0059
Jun 17 197 0.0 % 127 3 67 64.5 % 1.5 % 0.023 % 0.23 0.0035
Jun 16 197 11.9 % 127 3 67 64.5 % 1.5 % 0.023 % 0.23 0.0035
Jun 15 176 0.0 % 114 2 60 64.8 % 1.1 % 0.021 % 0.21 0.0024
Jun 14 176 0.0 % 114 2 60 64.8 % 1.1 % 0.021 % 0.21 0.0024
Jun 13 176 8.0 % 114 2 60 64.8 % 1.1 % 0.021 % 0.21 0.0024
Jun 12 163 0.6 % 97 2 64 59.5 % 1.2 % 0.019 % 0.19 0.0024
Jun 11 162 0.0 % 97 2 63 59.9 % 1.2 % 0.019 % 0.19 0.0024
Jun 10 162 14.9 % 97 2 63 59.9 % 1.2 % 0.019 % 0.19 0.0024
Jun 9 141 0.0 % 67 2 72 47.5 % 1.4 % 0.017 % 0.17 0.0024
Jun 8 141 0.0 % 67 2 72 47.5 % 1.4 % 0.017 % 0.17 0.0024
Jun 7 141 0.0 % 67 2 72 47.5 % 1.4 % 0.017 % 0.17 0.0024
Jun 6 141 6.8 % 67 2 72 47.5 % 1.4 % 0.017 % 0.17 0.0024
Jun 5 132 0.0 % 55 2 75 41.7 % 1.5 % 0.016 % 0.16 0.0024
Jun 4 132 0.0 % 55 2 75 41.7 % 1.5 % 0.016 % 0.16 0.0024
Jun 3 132 0.0 % 27 2 103 20.5 % 1.5 % 0.016 % 0.16 0.0024
Jun 2 132 24.5 % 27 2 103 20.5 % 1.5 % 0.016 % 0.16 0.0024
Jun 1 106 0.0 % 26 2 78 24.5 % 1.9 % 0.012 % 0.12 0.0024
May 31 106 0.0 % 26 2 78 24.5 % 1.9 % 0.012 % 0.12 0.0024
May 30 106 21.8 % 26 2 78 24.5 % 1.9 % 0.012 % 0.12 0.0024
May 29 87 0.0 % 24 2 61 27.6 % 2.3 % 0.01 % 0.10 0.0024
May 28 87 0.0 % 24 2 61 27.6 % 2.3 % 0.01 % 0.10 0.0024
May 27 87 0.0 % 24 2 61 27.6 % 2.3 % 0.01 % 0.10 0.0024
May 26 87 0.0 % 21 1 65 24.1 % 1.1 % 0.01 % 0.10 0.0012
May 25 87 0.0 % 21 1 65 24.1 % 1.1 % 0.01 % 0.10 0.0012
May 24 87 11.5 % 21 1 65 24.1 % 1.1 % 0.01 % 0.10 0.0012
May 23 78 0.0 % 18 1 59 23.1 % 1.3 % 0.0092 % 0.092 0.0012
May 22 78 129.4 % 18 1 59 23.1 % 1.3 % 0.0092 % 0.092 0.0012
May 21 34 0.0 % 8 1 25 23.5 % 2.9 % 0.004 % 0.040 0.0012
May 20 34 209.1 % 8 1 25 23.5 % 2.9 % 0.004 % 0.040 0.0012
May 19 11 0.0 % 3 1 7 27.3 % 9.1 % 0.0013 % 0.013 0.0012
May 18 11 0.0 % 3 1 7 27.3 % 9.1 % 0.0013 % 0.013 0.0012
May 17 11 0.0 % 3 1 7 27.3 % 9.1 % 0.0013 % 0.013 0.0012
May 16 11 0.0 % 3 1 7 27.3 % 9.1 % 0.0013 % 0.013 0.0012
May 15 11 0.0 % 3 1 7 27.3 % 9.1 % 0.0013 % 0.013 0.0012
May 14 11 0.0 % 3 1 7 27.3 % 9.1 % 0.0013 % 0.013 0.0012
May 13 11 0.0 % 0 1 10 0.0 % 9.1 % 0.0013 % 0.013 0.0012
May 12 11 0.0 % 0 1 10 0.0 % 9.1 % 0.0013 % 0.013 0.0012
May 11 11 0.0 % 0 1 10 0.0 % 9.1 % 0.0013 % 0.013 0.0012
May 10 11 0.0 % 0 1 10 0.0 % 9.1 % 0.0013 % 0.013 0.0012
May 9 11 37.5 % 0 1 10 0.0 % 9.1 % 0.0013 % 0.013 0.0012
May 8 8 0.0 % 0 1 7 0.0 % 12.5 % < 0.001 % 0.0094 0.0012
May 7 8 0.0 % 0 1 7 0.0 % 12.5 % < 0.001 % 0.0094 0.0012
May 6 8 166.7 % 0 1 7 0.0 % 12.5 % < 0.001 % 0.0094 0.0012
May 5 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.0035 0.00
May 4 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.0035 0.00
May 3 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.0035 0.00
May 2 3 200.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.0035 0.00
May 1 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.0012 0.00
Apr 30 1 0 0 1 0.0 % 0.0 % < 0.001 % 0.0012 0.00

Statistics per Continent

Whole world

Africa

Asia

Europe

North America

Oceania

South America

Statistics per Country

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

Bonaire, St. Eustatius & Saba

Bosnia and Herzegovina

Botswana

Brazil

British Virgin Islands

Brunei Darussalam

Bulgaria

Burkina Faso

Burundi

Cabo Verde

Cambodia

Cameroon

Canada

Cayman Islands

Central African Republic

Chad

Chile

China

Colombia

Comoros

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

Falkland Islands

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

Lesotho

Liberia

Libya

Liechtenstein

Lithuania

Luxembourg

Madagascar

Malawi

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

Saint Pierre and Miquelon

San Marino

Sao Tome and Principe

Saudi Arabia

Senegal

Serbia

Seychelles

Sierra Leone ▲▲

Singapore

Sint Maarten ▲▲

Slovakia

Slovenia

Somalia

South Africa

South Korea

South Sudan

Spain

Sri Lanka

State of Palestine

Sudan

Suriname

Sweden

Switzerland

Syrian Arab Republic

Taiwan

Tajikistan

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

Western Sahara

Yemen

Zambia

Zimbabwe

The green and red arrows next to the country name display the trend of the new confirmed cases during the last week.

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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. Central 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.